Combining Heuristics and Simulation Models: An Expert System for the Optimal Management of Pigs. - Tim Menzies; M. Dean; J. L. Black; J. F. Fleming (Australian Joint Conference on Artificial Intelligence, 1988)

An Investigation of AI and Expert Systems Literature: 1980-1984. - Tim Menzies (AI Mag., 1989)

Is-a Object Part-of Knowledge Representation (Part 2). - Tim Menzies (TOOLS (6), 1992)

"C++ is Better Than Smalltalk"?? - Philip Haynes; Tim Menzies (TOOLS (12/9), 1993)

The Mysterious Case of the Missing Reusable Class Libraries. - Tim Menzies; Julian M. Edwards; Kekwee Ng (TOOLS (12/9), 1993)

How to Edit "It"; or: A "Black-box" Constraint-Based Framework for User-Interaction with Arbitrary Structures. - Tim Menzies; Richard Spurrett (TOOLS (12/9), 1993)

On the Practicality of Abductive Validation. - Tim Menzies (ECAI, 1996)

Visual Programming, Knowledge Engineering, and Software Engineering. - Tim Menzies (SEKE, 1996)

Applications of abduction: knowledge-level modelling. - Tim Menzies (Int. J. Hum. Comput. Stud., 1996)

Evaluating a Qualitative Reasoner. - Sam Waugh; Tim Menzies; Simon Goss (Australian Joint Conference on Artificial Intelligence, 1997)

A Graph Theoretic Optimisation of Temporal Abductive Validation. - Tim Menzies; Robert F. Cohen (EUROVAV, 1997)

Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models. - Tim Menzies; Paul Compton (Artif. Intell. Medicine, 1997)

Object-Oriented Patterns: Lessons from Expert Systems. - Tim Menzies (Softw. Pract. Exp., 1997)

The Temporal QCM Modelling Language. - Sam Waugh; Brian Hanlon; Tim Menzies (Australian Joint Conference on Artificial Intelligence, 1998)

Lower Bounds on the Size of Test Data Sets. - Tim Menzies; Sam Waugh (EUROVAV, 1998)

On the Practicality of Viewpoint-Based Requirements Engineering. - Tim Menzies; Sam Waugh (PRICAI, 1998)

Towards situated knowledge acquisition. - Tim Menzies (Int. J. Hum. Comput. Stud., 1998)

Editorial: the challenge of situated cognition for symbolic knowledge-based systems. - Tim Menzies; William J. Clancey (Int. J. Hum. Comput. Stud., 1998)

On the Sufficiency of Limited Testing for Knowledge Based Systems. - Tim Menzies; Bojan Cukic (ICTAI, 1999)

An Empirical Investigation of Multiple Viewpoint Reasoning in Requirements Engineering. - Tim Menzies; Steve M. Easterbrook; Bashar Nuseibeh; Sam Waugh (RE, 1999)

Desert Island Column. - Tim Menzies (Autom. Softw. Eng., 1999)

Critical success metrics: evaluation at the business level. - Tim Menzies (Int. J. Hum. Comput. Stud., 1999)

Editorial: Evaluating knowledge engineering techniques. - Tim Menzies; Frank van Harmelen (Int. J. Hum. Comput. Stud., 1999)

Knowledge maintenance: the state of the art. - Tim Menzies (Knowl. Eng. Rev., 1999)

Cost benefits of ontologies. - Tim Menzies (Intell., 1999)

Agents Talking Faster. - Tim Menzies; Bojan Cukic; Harshinder Singh (FAABS, 2000)

WISE3: the Third International Workshop on Intelligent Software Engineering (workshop session). - Tim Menzies (ICSE, 2000)

Testing Nondeterminate Systems. - Tim Menzies; Bojan Cukic; Harshinder Singh; John D. Powell (ISSRE, 2000)

The Complexity of TRMCS-like Spiral Specification. - Tim Menzies (IWSSD, 2000)

Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment. - Tim Menzies; Erik Sinsel (ASE, 2000)

Reports on the AAAI 1999 Workshop Program. - Brian Drabble; Laurent Chaudron; Catherine Tessier; Sue Abu-Hakima; Steven Willmott; Jim Austin; Boi Faltings; Eugene C. Freuder; Gerhard Friedrich; Alex Alves Freitas; Ulises Cortés; Miquel Sànchez-Marrè; et al. (AI Mag., 2000)

Adequacy of Limited Testing for Knowledge Based Systems. - Tim Menzies; Bojan Cukic (Int. J. Artif. Intell. Tools, 2000)

Issues with Meta-Knowledge. - Tim Menzies; Klaus-Dieter Althoff; Yannis Kalfoglou; Enrico Motta (Int. J. Softw. Eng. Knowl. Eng., 2000)

Meta-knowledge in systems design: panacea ... or undelivered promise? - Yannis Kalfoglou; Tim Menzies; Klaus-Dieter Althoff; Enrico Motta (Knowl. Eng. Rev., 2000)

When to Test Less. - Tim Menzies; Bojan Cukic (IEEE Softw., 2000)

How AI Can Help SE; or: Randomized Search Not Considered Harmful. - Tim Menzies; Harshinder Singh (AI, 2001)

Fast Formal Analysis of Requirements via "Topoi Diagrams". - Tim Menzies; John D. Powell; Michael E. Houle (ICSE, 2001)

Better Reasoning About Software Engineering Activities. - Tim Menzies; James D. Kiper (ASE, 2001)

You Seem Friendly, But Can I Trust You? - Tim Menzies; David Owen 002; Bojan Cukic (FAABS, 2002)

What Is an Agent and Why Should I Care? - Tim Menzies; Adrian R. Pearce; Clinton Heinze; Simon Goss (FAABS, 2002)

An Alternative to Model Checking: Verification by Random Search of AND-OR Graphs Representing Finite-State Models. - David Owen 002; Bojan Cukic; Tim Menzies (HASE, 2002)

Data Sniffing - Monitoring of Machine Learning for Online Adaptive Systems. - Yan Liu 003; Tim Menzies; Bojan Cukic (ICTAI, 2002)

Machine Learning for Software Engineering: Case Studies in Software Reuse. - Justin S. Di Stefano; Tim Menzies (ICTAI, 2002)

Saturation Effects in Testing of Formal Models. - Tim Menzies; David Owen 002; Bojan Cukic (ISSRE, 2002)

Model-Based Tests of Truisms. - Tim Menzies; David Raffo; Siri-on Setamanit; Ying Hu; Sina Tootoonia (ASE, 2002)

What Makes Finite-State Models More (or Less) Testable? - David Owen 002; Tim Menzies; Bojan Cukic (ASE, 2002)

Converging on the Optimal Attainment of Requirements. - Martin S. Feather; Tim Menzies (RE, 2002)

Some prolog macros for rule-based programming: why? how? - Tim Menzies; Lindsay Mason (ACM SIGPLAN Workshop on Rule-Based Programming, 2002)

Simulations for very early lifecycle quality evaluations. - Eliza Chiang; Tim Menzies (Softw. Process. Improv. Pract., 2002)

Applications of Abduction: Testing Very Long Qualitative Simulations. - Tim Menzies; Robert F. Cohen; Sam Waugh; Simon Goss (IEEE Trans. Knowl. Data Eng., 2002)

Matching Software Practitioner Needs to Researcher Activities. - Martin S. Feather; Tim Menzies; Judith R. Connelly (APSEC, 2003)

Validating an Online Adaptive System Using SVDD. - Yan Liu 003; Srikanth Gururajan; Bojan Cukic; Tim Menzies; Marcello R. Napolitano (ICTAI, 2003)

When Can We Test Less? - Tim Menzies; Justin S. Di Stefano; Kareem Ammar; Kenneth McGill; Pat Callis; Robert (Mike) Chapman; John Davis (IEEE METRICS, 2003)

Learning Early Lifecycle IV&V Quality Indicators. - Tim Menzies; Justin S. Di Stefano; Mike Chapman (IEEE METRICS, 2003)

Relating Practitioner Needs to Research Activities. - Martin S. Feather; Tim Menzies; Judith R. Connelly (RE, 2003)

Improved Software Engineering Decision Support Through Automatic Argument Reduction Tools. - Tim Menzies; James D. Kiper; Martin S. Feather (SEKE, 2003)

Better Analysis of Defect Data at NASA. - Tim Menzies; Robyn R. Lutz; Ines Carmen Mikulski (SEKE, 2003)

Lurch: a Lightweight Alternative to Model Checking. - David Owen 002; Tim Menzies (SEKE, 2003)

Model-Based Software Testing via Incremental Treatment Learning. - Dustin Geletko; Tim Menzies (SEW, 2003)

On the Advantages of Approximate vs. Complete Verification: Bigger Models, Faster, Less Memory, Usually Accurate. - David Owen 002; Tim Menzies; Mats Per Erik Heimdahl; Jimin Gao (SEW, 2003)

Data Mining for Very Busy People. - Tim Menzies; Ying Hu (Computer, 2003)

Guest Editor's Introduction: 21st Century AI–Proud, Not Smug. - Tim Menzies (IEEE Intell. Syst., 2003)

Editorial: model-based requirements engineering. - Tim Menzies (Requir. Eng., 2003)

More Success and Failure Factors in Software Reuse. - Tim Menzies; Justin S. Di Stefano (IEEE Trans. Software Eng., 2003)

How Good Is Your Blind Spot Sampling Policy? - Tim Menzies; Justin S. Di Stefano (HASE, 2004)

Text is Software Too. - Alexander Dekhtyar; Jane Huffman Hayes; Tim Menzies (MSR, 2004)

Mining Repositories to Assist in Project Planning and Resource Allocation. - Tim Menzies; Justin S. Di Stefano; Chris Cunanan; Robert (Mike) Chapman (MSR, 2004)

Validation methods for calibrating software effort models. - Tim Menzies; Daniel Port; Zhihao Chen 001; Jairus Hihn; Sherry Stukes (ICSE, 2005)

Predictor models in software engineering (PROMISE). - Jelber Sayyad-Shirabad; Tim Menzies (ICSE, 2005)

Specialization and extrapolation of software cost models. - Tim Menzies; Daniel Port; Zhihao Chen 001; Jairus Hihn (ASE, 2005)

Verification and Validation and Artificial Intelligence. - Tim Menzies; Charles Pecheur (Adv. Comput., 2005)

Feature subset selection can improve software cost estimation accuracy. - Zhihao Chen 001; Tim Menzies; Daniel Port; Barry W. Boehm (ACM SIGSOFT Softw. Eng. Notes, 2005)

Simple software cost analysis: safe or unsafe? - Tim Menzies; Daniel Port; Zhihao Chen 001; Jairus Hihn (ACM SIGSOFT Softw. Eng. Notes, 2005)

Finding the Right Data for Software Cost Modeling. - Zhihao Chen 001; Barry W. Boehm; Tim Menzies; Daniel Port (IEEE Softw., 2005)

On the Distribution of Property Violations in Formal Models: An Initial Study. - Jimin Gao; Mats Per Erik Heimdahl; David Owen 002; Tim Menzies (COMPSAC (1), 2006)

Learning IV&V Strategies. - Marcus S. Fisher; Tim Menzies (HICSS, 2006)

Qualitative Modeling for Requirements Engineering. - Tim Menzies; Julian Richardson (SEW, 2006)

Just enough learning (of association rules): the TAR2 "Treatment" learner. - Tim Menzies; Ying Hu (Artif. Intell. Rev., 2006)

Making Sense of Requirements, Sooner. - Tim Menzies; Julian Richardson (Computer, 2006)

Evidence-Based Cost Estimation for Better-Quality Software. - Tim Menzies; Jairus Hihn (IEEE Softw., 2006)

Selecting Best Practices for Effort Estimation. - Tim Menzies; Zhihao Chen 001; Jairus Hihn; Karen T. Lum (IEEE Trans. Software Eng., 2006)

Fault Prediction using Early Lifecycle Data. - Yue Jiang 001; Bojan Cukic; Tim Menzies (ISSRE, 2007)

Nighthawk: a two-level genetic-random unit test data generator. - James H. Andrews; Felix Chun Hang Li; Tim Menzies (ASE, 2007)

The business case for automated software engineering. - Tim Menzies; Oussama El-Rawas; Jairus Hihn; Martin S. Feather; Raymond J. Madachy; Barry W. Boehm (ASE, 2007)

Column Pruning Beats Stratification in Effort Estimation. - Omid Jalali; Tim Menzies; Daniel Baker; Jairus Hihn (PROMISE@ICSE, 2007)

The Strangest Thing About Software. - Tim Menzies; David Owen 002; Julian Richardson (Computer, 2007)

Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'". - Tim Menzies; Alex Dekhtyar; Justin S. Di Stefano; Jeremy Greenwald (IEEE Trans. Software Eng., 2007)

Data Mining Static Code Attributes to Learn Defect Predictors. - Tim Menzies; Jeremy Greenwald; Art Frank (IEEE Trans. Software Eng., 2007)

4th international workshop on predictor models in SE (PROMISE 2008). - Gary D. Boetticher; Tim Menzies; Thomas J. Ostrand; Günther Ruhe (ICSE Companion, 2008)

Automated severity assessment of software defect reports. - Tim Menzies; Andrian Marcus (ICSM, 2008)

Accurate Estimates without Calibration? - Tim Menzies; Oussama El-Rawas; Barry W. Boehm; Raymond J. Madachy; Jairus Hihn; Daniel Baker; Karen T. Lum (ICSP, 2008)

Cost Curve Evaluation of Fault Prediction Models. - Yue Jiang 001; Bojan Cukic; Tim Menzies (ISSRE, 2008)

Can data transformation help in the detection of fault-prone modules? - Yue Jiang 001; Bojan Cukic; Tim Menzies (DEFECTS, 2008)

Nearest neighbor sampling for cross company defect predictors: abstract only. - Burak Turhan; Ayse Basar Bener; Tim Menzies (DEFECTS, 2008)

Using Simulation to Investigate Requirements Prioritization Strategies. - Daniel Port; Alexy Olkov; Tim Menzies (ASE, 2008)

Tool Support for Parametric Analysis of Large Software Simulation Systems. - Johann Schumann; Karen Gundy-Burlet; Corina S. Pasareanu; Tim Menzies; Tony Barrett (ASE, 2008)

Comparing design and code metrics for software quality prediction. - Yue Jiang 001; Bojan Cukic; Tim Menzies; Nick Bartlow (PROMISE@ICSE, 2008)

Optimizing requirements decisions with keys. - Omid Jalali; Tim Menzies; Martin S. Feather (PROMISE@ICSE, 2008)

Implications of ceiling effects in defect predictors. - Tim Menzies; Burak Turhan; Ayse Bener; Gregory Gay 002; Bojan Cukic; Yue Jiang 001 (PROMISE@ICSE, 2008)

Editorial, special issue, repeatable experiments in software engineering. - Tim Menzies (Empir. Softw. Eng., 2008)

Learning better IV&V practices. - Tim Menzies; Markland Benson; Ken Costello; Christina Moats; Melissa Northey; Julian Richardson (Innov. Syst. Softw. Eng., 2008)

A Broad, Quantitative Model for Making Early Requirements Decisions. - Martin S. Feather; Steven L. Cornford; Kenneth A. Hicks; James D. Kiper; Tim Menzies (IEEE Softw., 2008)

Data mining with software industry project data: A case study. - Topi Haapio; Tim Menzies (IADIS AC (2), 2009)

How to avoid drastic software process change (using stochastic stability). - Tim Menzies; Steve Williams; Barry W. Boehm; Jairus Hihn (ICSE, 2009)

On the use of relevance feedback in IR-based concept location. - Gregory Gay 002; Sonia Haiduc; Andrian Marcus; Tim Menzies (ICSM, 2009)

On the Relative Merits of Software Reuse. - Andres S. Orrego; Tim Menzies; Oussama El-Rawas (ICSP, 2009)

Variance Analysis in Software Fault Prediction Models. - Yue Jiang 001; Jie Lin; Bojan Cukic; Tim Menzies (ISSRE, 2009)

Is Continuous Compliance Assurance Possible? - Joseph D'Alessandro; Cynthia D. Tanner; Bonnie W. Morris; Tim Menzies (ITNG, 2009)

Understanding the Value of Software Engineering Technologies. - Phillip Green II; Tim Menzies; Steve Williams; Oussama El-Rawas (ASE, 2009)

Applications of Simulation and AI Search: Assessing the Relative Merits of Agile vs Traditional Software Development. - Bryan Lemon; Aaron Riesbeck; Tim Menzies; Justin Price; Joseph D'Alessandro; Rikard Carlsson; Tomi Prifiti; Fayola Peters; Huihua Lu; Daniel Port (ASE, 2009)

On the value of combining feature subset selection with genetic algorithms: faster learning of coverage models. - James H. Andrews; Tim Menzies (PROMISE, 2009)

How to build repeatable experiments. - Gregory Gay 002; Tim Menzies; Bojan Cukic; Burak Turhan (PROMISE, 2009)

Can we build software faster and better and cheaper? - Tim Menzies; Oussama El-Rawas; Jairus Hihn; Barry W. Boehm (PROMISE, 2009)

Special issue on information retrieval for program comprehension. - Letha H. Etzkorn; Tim Menzies (Empir. Softw. Eng., 2009)

On the relative value of cross-company and within-company data for defect prediction. - Burak Turhan; Tim Menzies; Ayse Basar Bener; Justin S. Di Stefano (Empir. Softw. Eng., 2009)

Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects. - Tim Menzies; Osamu Mizuno; Yasunari Takagi; Tohru Kikuno (J. Softw. Eng. Appl., 2009)

Accurate estimates without local data? - Tim Menzies; Steve Williams; Oussama El-Rawas; Daniel Baker; Barry W. Boehm; Jairus Hihn; Karen T. Lum; Raymond J. Madachy (Softw. Process. Improv. Pract., 2009)

Text mining in supporting software systems risk assurance. - LiGuo Huang; Daniel Port; Liang Wang; Tao Xie 001; Tim Menzies (ASE, 2010)

When to use data from other projects for effort estimation. - Ekrem Kocaguneli; Gregory Gay 002; Tim Menzies; Ye Yang; Jacky W. Keung (ASE, 2010)

Regularities in Learning Defect Predictors. - Burak Turhan; Ayse Basar Bener; Tim Menzies (PROFES, 2010)

Case-based reasoning vs parametric models for software quality optimization. - Adam Brady; Tim Menzies (PROMISE, 2010)

On the value of learning from defect dense components for software defect prediction. - Hongyu Zhang 002; Adam Nelson; Tim Menzies (PROMISE, 2010)

On the shoulders of giants. - Earl T. Barr; Christian Bird; Eric Hyatt; Tim Menzies; Gregorio Robles (FoSER, 2010)

Software is data too. - Andrian Marcus; Tim Menzies (FoSER, 2010)

Automatically finding the control variables for complex system behavior. - Gregory Gay 002; Tim Menzies; Misty D. Davies; Karen Gundy-Burlet (Autom. Softw. Eng., 2010)

Finding robust solutions in requirements models. - Gregory Gay 002; Tim Menzies; Omid Jalali; Gregory E. Mundy; Beau Gilkerson; Martin S. Feather; James D. Kiper (Autom. Softw. Eng., 2010)

Stable rankings for different effort models. - Tim Menzies; Omid Jalali; Jairus Hihn; Daniel Baker; Karen T. Lum (Autom. Softw. Eng., 2010)

Defect prediction from static code features: current results, limitations, new approaches. - Tim Menzies; Zach Milton; Burak Turhan; Bojan Cukic; Yue Jiang 001; Ayse Basar Bener (Autom. Softw. Eng., 2010)

Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry. - Ayse Tosun; Ayse Basar Bener; Burak Turhan; Tim Menzies (Inf. Softw. Technol., 2010)

A second look at Faster, Better, Cheaper. - Oussama El-Rawas; Tim Menzies (Innov. Syst. Softw. Eng., 2010)

Case-Based Reasoning for Reducing Software Development Effort. - Adam Brady; Tim Menzies; Oussama El-Rawas; Ekrem Kocaguneli; Jacky W. Keung (J. Softw. Eng. Appl., 2010)

The Quest for Convincing Evidence. - Tim Menzies; Forrest Shull (Making Software, 2011)

How to Find Relevant Data for Effort Estimation? - Ekrem Kocaguneli; Tim Menzies (ESEM, 2011)

Local vs. global models for effort estimation and defect prediction. - Tim Menzies; Andrew Butcher; Andrian Marcus; Thomas Zimmermann 001; David R. Cok (ASE, 2011)

Learning patterns of university student retention. - Ashutosh Nandeshwar; Tim Menzies; Adam Nelson (Expert Syst. Appl., 2011)

Exploring the Effort of General Software Project Activities with Data Mining. - Topi Haapio; Tim Menzies (Int. J. Softw. Eng. Knowl. Eng., 2011)

Sharing experiments using open-source software. - Adam Nelson; Tim Menzies; Gregory Gay 002 (Softw. Pract. Exp., 2011)

Genetic Algorithms for Randomized Unit Testing. - James H. Andrews; Tim Menzies; Felix Chun Hang Li (IEEE Trans. Software Eng., 2011)

Goldfish bowl panel: Software development analytics. - Tim Menzies; Thomas Zimmermann 001 (ICSE, 2012)

Privacy and utility for defect prediction: Experiments with MORPH. - Fayola Peters; Tim Menzies (ICSE, 2012)

Software feature model recommendations using data mining. - Abdel Salam Sayyad; Hany H. Ammar; Tim Menzies (RSSE@ICSE, 2012)

Crowd-Sourced Knowledge Bases. - Yang Sok Kim; Byeong Ho Kang 001; Seung Hwan Ryu; Paul Compton; Soyeon Caren Han; Tim Menzies (PKAW, 2012)

Learning to change projects. - Raymond Borges; Tim Menzies (PROMISE, 2012)

Size doesn't matter?: on the value of software size features for effort estimation. - Ekrem Kocaguneli; Tim Menzies; Jairus Hihn; Byeong Ho Kang 001 (PROMISE, 2012)

Guest editorial: learning to organize testing. - Ayse Basar Bener; Tim Menzies (Autom. Softw. Eng., 2012)

Special issue on repeatable results in software engineering prediction. - Tim Menzies; Martin J. Shepperd (Empir. Softw. Eng., 2012)

Learning Better Inspection Optimization Policies. - Markus Lumpe; Rajesh Vasa; Tim Menzies; Rebecca Rush; Burak Turhan (Int. J. Softw. Eng. Knowl. Eng., 2012)

Report from the first international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2012). - Rachel Harrison; Daniela Carneiro da Cruz; Pedro Rangel Henriques; Maria João Varanda Pereira; Shih-Hsi Liu; Tim Menzies; Marjan Mernik; Daniel Rodríguez 001 (ACM SIGSOFT Softw. Eng. Notes, 2012)

Exploiting the Essential Assumptions of Analogy-Based Effort Estimation. - Ekrem Kocaguneli; Tim Menzies; Ayse Bener; Jacky W. Keung (IEEE Trans. Software Eng., 2012)

On the Value of Ensemble Effort Estimation. - Ekrem Kocaguneli; Tim Menzies; Jacky W. Keung (IEEE Trans. Software Eng., 2012)

Learning from Open-Source Projects: An Empirical Study on Defect Prediction. - Zhimin He; Fayola Peters; Tim Menzies; Ye Yang (ESEM, 2013)

Foreword. - Christian Bird; Tim Menzies; Thomas Zimmermann 001 (DAPSE@ICSE, 2013)

1st international workshop on data analysis patterns in software engineering (DAPSE 2013). - Christian Bird; Tim Menzies; Thomas Zimmermann 001 (ICSE, 2013)

Automatic query reformulations for text retrieval in software engineering. - Sonia Haiduc; Gabriele Bavota; Andrian Marcus; Rocco Oliveto; Andrea De Lucia; Tim Menzies (ICSE, 2013)

2nd international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2013). - Rachel Harrison; Sol J. Greenspan; Tim Menzies; Marjan Mernik; Pedro Rangel Henriques; Daniela Carneiro da Cruz; Daniel Rodríguez 001 (ICSE, 2013)

Distributed development considered harmful? - Ekrem Kocaguneli; Thomas Zimmermann 001; Christian Bird; Nachiappan Nagappan; Tim Menzies (ICSE, 2013)

Data science for software engineering. - Tim Menzies; Ekrem Kocaguneli; Fayola Peters; Burak Turhan; Leandro L. Minku (ICSE, 2013)

Optimum feature selection in software product lines: Let your model and values guide your search. - Abdel Salam Sayyad; Joseph Ingram; Tim Menzies; Hany H. Ammar (CMSBSE@ICSE, 2013)

On the value of user preferences in search-based software engineering: a case study in software product lines. - Abdel Salam Sayyad; Tim Menzies; Hany H. Ammar (ICSE, 2013)

Scalable product line configuration: A straw to break the camel's back. - Abdel Salam Sayyad; Joseph Ingram; Tim Menzies; Hany H. Ammar (ASE, 2013)

Class level fault prediction using software clustering. - Giuseppe Scanniello; Carmine Gravino; Andrian Marcus; Tim Menzies (ASE, 2013)

Better cross company defect prediction. - Fayola Peters; Tim Menzies; Andrian Marcus (MSR, 2013)

Building a second opinion: learning cross-company data. - Ekrem Kocaguneli; Bojan Cukic; Tim Menzies; Huihua Lu (PROMISE, 2013)

Beyond data mining; towards "idea engineering". - Tim Menzies (PROMISE, 2013)

Finding conclusion stability for selecting the best effort predictor in software effort estimation. - Jacky Keung; Ekrem Kocaguneli; Tim Menzies (Autom. Softw. Eng., 2013)

Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy. - Ekrem Kocaguneli; Tim Menzies; Jacky W. Keung (Empir. Softw. Eng., 2013)

Predictive models in software engineering. - Tim Menzies; Günes Koru (Empir. Softw. Eng., 2013)

Incremental Development of Fault Prediction Models. - Yue Jiang 001; Bojan Cukic; Tim Menzies; Jie Lin (Int. J. Softw. Eng. Knowl. Eng., 2013)

Guest editorial for the Special Section on BEST PAPERS from the 2011 conference on Predictive Models in Software Engineering (PROMISE). - Tim Menzies (Inf. Softw. Technol., 2013)

Software effort models should be assessed via leave-one-out validation. - Ekrem Kocaguneli; Tim Menzies (J. Syst. Softw., 2013)

Beyond Data Mining. - Tim Menzies (IEEE Softw., 2013)

Software Analytics: So What? - Tim Menzies; Thomas Zimmermann 001 (IEEE Softw., 2013)

The Many Faces of Software Analytics. - Tim Menzies; Thomas Zimmermann 001 (IEEE Softw., 2013)

Active Learning and Effort Estimation: Finding the Essential Content of Software Effort Estimation Data. - Ekrem Kocaguneli; Tim Menzies; Jacky Keung; David R. Cok; Raymond J. Madachy (IEEE Trans. Software Eng., 2013)

Local versus Global Lessons for Defect Prediction and Effort Estimation. - Tim Menzies; Andrew Butcher; David R. Cok; Andrian Marcus; Lucas Layman; Forrest Shull; Burak Turhan; Thomas Zimmermann 001 (IEEE Trans. Software Eng., 2013)

Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming. - Tim Menzies; Adam Brady; Jacky Keung; Jairus Hihn; Steve Williams; Oussama El-Rawas; Phillip Green II; Barry W. Boehm (IEEE Trans. Software Eng., 2013)

Balancing Privacy and Utility in Cross-Company Defect Prediction. - Fayola Peters; Tim Menzies; Liang Gong; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2013)

Occam's Razor and Simple Software Project Management. - Tim Menzies (Software Project Management in a Changing World, 2014)

Data Mining. - Tim Menzies (Recommendation Systems in Software Engineering, 2014)

Learning the Task Management Space of an Aircraft Approach Model. - Joseph Krall; Tim Menzies; Misty D. Davies (AAAI Spring Symposia, 2014)

Analyzing software data: after the gold rush (a goldfish-bowl panel). - Tim Menzies; Christian Bird; Thomas Zimmermann 001 (ICSE Companion, 2014)

Software Development Analytics (Dagstuhl Seminar 14261). - Harald C. Gall; Tim Menzies; Laurie A. Williams; Thomas Zimmermann 001 (Dagstuhl Reports, 2014)

Special issue on realizing artificial intelligence synergies in software engineering. - Tim Menzies; Marjan Mernik (Softw. Qual. J., 2014)

Past, Present, and Future of Analyzing Software Data. - Christian Bird; Tim Menzies; Thomas Zimmermann 001 (The Art and Science of Analyzing Software Data, 2015)

1st International Workshop on Big Data Software Engineering (BIGDSE 2015). - Luciano Baresi; Tim Menzies; Andreas Metzger; Thomas Zimmermann 001 (ICSE (2), 2015)

The Art and Science of Analyzing Software Data; Quantitative Methods. - Tim Menzies; Leandro L. Minku; Fayola Peters (ICSE (2), 2015)

LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction. - Fayola Peters; Tim Menzies; Lucas Layman (ICSE (1), 2015)

Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas? - Jairus Hihn; Tim Menzies (ASE Workshops, 2015)

Actionable = Cluster + Contrast? - Rahul Krishna; Tim Menzies (ASE Workshops, 2015)

Guest editorial: special issue on realizing AI synergies in software engineering. - Rachel Harrison; Tim Menzies (Autom. Softw. Eng., 2015)

Guest editorial: special issue on realizing AI synergies in software engineering (part 2). - Rachel Harrison; Tim Menzies (Autom. Softw. Eng., 2015)

Guest editorial: special multi-issue on selected topics in automated software engineering. - Tim Menzies; Corina S. Pasareanu (Autom. Softw. Eng., 2015)

Cross-Project Data for Software Engineering. - Tim Menzies (Computer, 2015)

Transfer learning in effort estimation. - Ekrem Kocaguneli; Tim Menzies; Emilia Mendes (Empir. Softw. Eng., 2015)

GALE: Geometric Active Learning for Search-Based Software Engineering. - Joseph Krall; Tim Menzies; Misty D. Davies (IEEE Trans. Software Eng., 2015)

Seven principles of inductive software engineering. - Tim Menzies (Perspectives on Data Science for Software Engineering, 2016)

Correlation is not causation (or, when not to scream "Eureka!"). - Tim Menzies (Perspectives on Data Science for Software Engineering, 2016)

How not to do it: anti-patterns for data science in software engineering. - Tim Menzies (ICSE (Companion Volume), 2016)

Too much automation? the bellwether effect and its implications for transfer learning. - Rahul Krishna; Tim Menzies; Wei Fu 002 (ASE, 2016)

Topic modeling of NASA space system problem reports: research in practice. - Lucas Layman; Allen P. Nikora; Joshua Meek; Tim Menzies (MSR, 2016)

An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE. - Vivek Nair; Tim Menzies; Jianfeng Chen (SSBSE, 2016)

What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE). - Amritanshu Agrawal; Wei Fu 002; Tim Menzies (CoRR, 2016)

Is "Sampling" better than "Evolution" for Search-based Software Engineering? - Jianfeng Chen; Vivek Nair; Rahul Krishna; Tim Menzies (CoRR, 2016)

Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors? - Wei Fu 002; Vivek Nair; Tim Menzies (CoRR, 2016)

Recommendations for Intelligent Code Reorganization. - Rahul Krishna; Tim Menzies; Lucas Layman (CoRR, 2016)

Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation. - George Mathew; Tim Menzies; Jairus Hihn (CoRR, 2016)

How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews. - Zhe Yu 002; Nicholas A. Kraft; Tim Menzies (CoRR, 2016)

Tuning for software analytics: Is it really necessary? - Wei Fu 002; Tim Menzies; Xipeng Shen (Inf. Softw. Technol., 2016)

Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations). - Joseph Krall; Tim Menzies; Misty D. Davies (IEEE Trans. Hum. Mach. Syst., 2016)

Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting. - Zhe Yu 002; Tim Menzies (CLEF (Working Notes), 2017)

Using Stakeholder Preferences to Make Better Architecture Decisions. - Neil A. Ernst; John Klein; George Mathew; Tim Menzies (ICSA Workshops, 2017)

Trends in topics at SE conferences (1993-2013). - George Mathew; Amritanshu Agrawal; Tim Menzies (ICSE (Companion Volume), 2017)

"SHORT"er Reasoning About Larger Requirements Models. - George Mathew; Tim Menzies; Neil A. Ernst; John Klein (RE, 2017)

Easy over hard: a case study on deep learning. - Wei Fu 002; Tim Menzies (ESEC/SIGSOFT FSE, 2017)

Revisiting unsupervised learning for defect prediction. - Wei Fu 002; Tim Menzies (ESEC/SIGSOFT FSE, 2017)

Using bad learners to find good configurations. - Vivek Nair; Tim Menzies; Norbert Siegmund; Sven Apel (ESEC/SIGSOFT FSE, 2017)

A guest editorial: special issue on search based software engineering and data mining. - Marouane Kessentini; Tim Menzies (Autom. Softw. Eng., 2017)

"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction). - Amritanshu Agrawal; Tim Menzies (CoRR, 2017)

Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study. - Di Chen; Kathryn T. Stolee; Tim Menzies (CoRR, 2017)

Simpler Transfer Learning (Using "Bellwethers"). - Rahul Krishna; Tim Menzies (CoRR, 2017)

Shorter Reasoning About Larger Requirements Models. - George Mathew; Tim Menzies; Neil A. Ernst; John Klein (CoRR, 2017)

FLASH: A Faster Optimizer for SBSE Tasks. - Vivek Nair; Zhe Yu 002; Tim Menzies (CoRR, 2017)

Better Predictors for Issue Lifetime. - Mitch Rees-Jones; Matthew Martin; Tim Menzies (CoRR, 2017)

Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge? - Zhe Yu 002; Tim Menzies (CoRR, 2017)

Learning Effective Changes For Software Projects. - Rahul Krishna; Tim Menzies (CoRR, 2017)

RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows. - Jianfeng Chen; Tim Menzies (CoRR, 2017)

Continuous Integration: The Silver Bullet? - Akond Rahman; Amritanshu Agrawal; Rahul Krishna; Alexander Sobran; Tim Menzies (CoRR, 2017)

Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. - Chin-Jung Hsu; Vivek Nair; Vincent W. Freeh; Tim Menzies (CoRR, 2017)

Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle. - Tim Menzies; William Nichols; Forrest Shull; Lucas Layman (Empir. Softw. Eng., 2017)

Negative results for software effort estimation. - Tim Menzies; Ye Yang; George Mathew; Barry W. Boehm; Jairus Hihn (Empir. Softw. Eng., 2017)

Less is more: Minimizing code reorganization using XTREE. - Rahul Krishna; Tim Menzies; Lucas Layman (Inf. Softw. Technol., 2017)

TMAP: Discovering relevant API methods through text mining of API documentation. - Rahul Pandita; Raoul Jetley; Sithu D. Sudarsan; Tim Menzies; Laurie A. Williams (J. Softw. Evol. Process., 2017)

RIOT: A Stochastic-Based Method for Workflow Scheduling in the Cloud. - Jianfeng Chen; Tim Menzies (IEEE CLOUD, 2018)

Micky: A Cheaper Alternative for Selecting Cloud Instances. - Chin-Jung Hsu; Vivek Nair; Tim Menzies; Vincent W. Freeh (IEEE CLOUD, 2018)

Introduction to the Minitrack on Frontiers in AI and Software Engineering. - Tim Menzies (HICSS, 2018)

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. - Chin-Jung Hsu; Vivek Nair; Vincent W. Freeh; Tim Menzies (ICDCS, 2018)

Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction. - Amritanshu Agrawal; Tim Menzies (ICSE, 2018)

We don't need another hero?: the impact of "heroes" on software development. - Amritanshu Agrawal; Akond Rahman; Rahul Krishna; Alexander Sobran; Tim Menzies (ICSE (SEIP), 2018)

What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. - Rahul Krishna; Amritanshu Agrawal; Akond Rahman; Alexander Sobran; Tim Menzies (ICSE (SEIP), 2018)

500+ times faster than deep learning: a case study exploring faster methods for text mining stackoverflow. - Suvodeep Majumder; Nikhila Balaji; Katie Brey; Wei Fu 002; Tim Menzies (MSR, 2018)

Data-driven search-based software engineering. - Vivek Nair; Amritanshu Agrawal; Jianfeng Chen; Wei Fu 002; George Mathew; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (MSR, 2018)

Applications of psychological science for actionable analytics. - Di Chen; Wei Fu 002; Rahul Krishna; Tim Menzies (ESEC/SIGSOFT FSE, 2018)

Total recall, language processing, and software engineering. - Zhe Yu 002; Tim Menzies (NL4SE@ESEC/SIGSOFT FSE, 2018)

Faster discovery of faster system configurations with spectral learning. - Vivek Nair; Tim Menzies; Norbert Siegmund; Sven Apel (Autom. Softw. Eng., 2018)

Scout: An Experienced Guide to Find the Best Cloud Configuration. - Chin-Jung Hsu; Vivek Nair; Tim Menzies; Vincent W. Freeh (CoRR, 2018)

Transfer Learning with Bellwethers to find Good Configurations. - Vivek Nair; Rahul Krishna; Tim Menzies; Pooyan Jamshidi (CoRR, 2018)

Building Better Quality Predictors Using "ε-Dominance". - Wei Fu 002; Tim Menzies; Di Chen; Amritanshu Agrawal (CoRR, 2018)

Bad Smells in Software Analytics Papers. - Rahul Krishna; Suvodeep Majumder; Tim Menzies; Martin J. Shepperd (CoRR, 2018)

Cost-aware Vulnerability Prediction: the HARMLESS Approach. - Zhe Yu 002; Christopher Theisen; Hyunwoo Sohn; Laurie A. Williams; Tim Menzies (CoRR, 2018)

Why Software Effort Estimation Needs SBSE. - Tianpei Xia; Jianfeng Chen; George Mathew; Xipeng Shen; Tim Menzies (CoRR, 2018)

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications. - Amritanshu Agrawal; Huy Tu; Tim Menzies (CoRR, 2018)

Hyperparameter Optimization for Effort Estimation. - Tianpei Xia; Rahul Krishna; Jianfeng Chen; George Mathew; Xipeng Shen; Tim Menzies (CoRR, 2018)

Effective Automated Decision Support for Managing Crowdtesting. - Junjie Wang 001; Ye Yang; Rahul Krishna; Tim Menzies; Qing Wang 001 (CoRR, 2018)

Cutting Away the Confusion From Crowdtesting. - Junjie Wang 001; Mingyang Li; Song Wang 009; Tim Menzies; Qing Wang 001 (CoRR, 2018)

Crowdtesting : When is The Party Over? - Junjie Wang 001; Ye Yang; Zhe Yu 002; Tim Menzies; Qing Wang 001 (CoRR, 2018)

Better Metrics for Ranking SE Researchers. - George Mathew; Tim Menzies (CoRR, 2018)

Finding better active learners for faster literature reviews. - Zhe Yu 002; Nicholas A. Kraft; Tim Menzies (Empir. Softw. Eng., 2018)

What is wrong with topic modeling? And how to fix it using search-based software engineering. - Amritanshu Agrawal; Wei Fu 002; Tim Menzies (Inf. Softw. Technol., 2018)

Beyond evolutionary algorithms for search-based software engineering. - Jianfeng Chen; Vivek Nair; Tim Menzies (Inf. Softw. Technol., 2018)

Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering. - Justyna Petke; Tim Menzies (Inf. Softw. Technol., 2018)

Software Engineering's Top Topics, Trends, and Researchers. - George Mathew; Tim Menzies (IEEE Softw., 2018)

The Unreasonable Effectiveness of Software Analytics. - Tim Menzies (IEEE Softw., 2018)

Software Analytics: What's Next? - Tim Menzies; Thomas Zimmermann 001 (IEEE Softw., 2018)

From Voice of Evidence to Redirections. - Rafael Prikladnicki; Tim Menzies (IEEE Softw., 2018)

Actionable Analytics for Software Engineering. - Ye Yang; Davide Falessi; Tim Menzies; Jairus Hihn (IEEE Softw., 2018)

Heterogeneous Defect Prediction. - Jaechang Nam; Wei Fu 002; Sunghun Kim 001; Tim Menzies; Lin Tan 001 (IEEE Trans. Software Eng., 2018)

Take control: on the unreasonable effectiveness of software analytics. - Tim Menzies (ICSE (SEIP), 2019)

iSENSE: completion-aware crowdtesting management. - Junjie Wang 001; Ye Yang; Rahul Krishna; Tim Menzies; Qing Wang 001 (ICSE, 2019)

Replication can improve prior results: a GitHub study of pull request acceptance. - Di Chen; Kathryn T. Stolee; Tim Menzies (ICPC, 2019)

Predicting breakdowns in cloud services (with SPIKE). - Jianfeng Chen; Joymallya Chakraborty; Philip Clark; Kevin Haverlock; Snehit Cherian; Tim Menzies (ESEC/SIGSOFT FSE, 2019)

TERMINATOR: better automated UI test case prioritization. - Zhe Yu 002; Fahmid M. Fahid; Tim Menzies; Gregg Rothermel; Kyle Patrick; Snehit Cherian (ESEC/SIGSOFT FSE, 2019)

Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction". - N. C. Shrikanth; Tim Menzies (CoRR, 2019)

Why Software Projects need Heroes (Lessons Learned from 1100+ Projects). - Suvodeep Majumder; Joymallya Chakraborty; Amritanshu Agrawal; Tim Menzies (CoRR, 2019)

Enhanced Labeling of Issue Reports (with F3T). - Huy Tu; Tim Menzies (CoRR, 2019)

Faster Creation of Smaller Test Suites (with SNAP). - Jianfeng Chen; Tim Menzies (CoRR, 2019)

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization. - Joymallya Chakraborty; Tianpei Xia; Fahmid M. Fahid; Tim Menzies (CoRR, 2019)

Better Security Bug Report Classification via Hyperparameter Optimization. - Rui Shu; Tianpei Xia; Laurie A. Williams; Tim Menzies (CoRR, 2019)

Better Technical Debt Detection via SURVEYing. - Fahmid M. Fahid; Zhe Yu 002; Tim Menzies (CoRR, 2019)

Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review. - Zhe Yu 002; Jeffrey C. Carver; Gregg Rothermel; Tim Menzies (CoRR, 2019)

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). - Xueqi Yang; Zhe Yu 002; Junjie Wang 001; Tim Menzies (CoRR, 2019)

Improved Recognition of Security Bugs via Dual Hyperparameter Optimization. - Rui Shu; Tianpei Xia; Jianfeng Chen; Laurie A. Williams; Tim Menzies (CoRR, 2019)

Learning GENERAL Principles from Hundreds of Software Projects. - Suvodeep Majumder; Rahul Krishna; Tim Menzies (CoRR, 2019)

Is AI different for SE? - Amritanshu Agrawal; Tim Menzies (CoRR, 2019)

Sequential Model Optimization for Software Process Control. - Tianpei Xia; Jianfeng Chen; Rui Shu; Tim Menzies (CoRR, 2019)

Assessing Practitioner Beliefs. - N. C. Shrikanth; Tim Menzies (CoRR, 2019)

FAST2: An intelligent assistant for finding relevant papers. - Zhe Yu 002; Tim Menzies (Expert Syst. Appl., 2019)

"Bad smells" in software analytics papers. - Tim Menzies; Martin J. Shepperd (Inf. Softw. Technol., 2019)

Images don't lie: Duplicate crowdtesting reports detection with screenshot information. - Junjie Wang 001; Mingyang Li; Song Wang 009; Tim Menzies; Qing Wang 001 (Inf. Softw. Technol., 2019)

"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. - Jianfeng Chen; Vivek Nair; Rahul Krishna; Tim Menzies (IEEE Trans. Software Eng., 2019)

A Deep Learning Model for Estimating Story Points. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Aditya Ghose; Tim Menzies (IEEE Trans. Software Eng., 2019)

Bellwethers: A Baseline Method for Transfer Learning. - Rahul Krishna; Tim Menzies (IEEE Trans. Software Eng., 2019)

Assessing practitioner beliefs about software defect prediction. - N. C. Shrikanth; Tim Menzies (ICSE (SEIP), 2020)

What disconnects practitioner belief and empirical evidence? - N. C. Shrikanth; Tim Menzies (ICSE (Companion Volume), 2020)

Making Fair ML Software using Trustworthy Explanation. - Joymallya Chakraborty; Kewen Peng; Tim Menzies (ASE, 2020)

Fairway: a way to build fair ML software. - Joymallya Chakraborty; Suvodeep Majumder; Zhe Yu 002; Tim Menzies (ESEC/SIGSOFT FSE, 2020)

The Changing Nature of Computational Science Software. - Huy Tu; Rishabh Agrawal; Tim Menzies (CoRR, 2020)

How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool. - Kewen Peng; Tim Menzies (CoRR, 2020)

Fairway: SE Principles for Building Fairer Software. - Joymallya Chakraborty; Suvodeep Majumder; Zhe Wu; Tim Menzies (CoRR, 2020)

How to Recognize Actionable Static Code Warnings (Using Linear SVMs). - Xueqi Yang; Jianfeng Chen; Rahul Yedida; Zhe Yu 002; Tim Menzies (CoRR, 2020)

Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer). - Tianpei Xia; Wei Fu 002; Rui Shu; Tim Menzies (CoRR, 2020)

Improving Deep Learning for Defect Prediction (using the GHOST Hyperparameter Optimizer). - Rahul Yedida; Tim Menzies (CoRR, 2020)

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. - Amritanshu Agrawal; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (Empir. Softw. Eng., 2020)

Learning actionable analytics from multiple software projects. - Rahul Krishna; Tim Menzies (Empir. Softw. Eng., 2020)

Expert Perspectives on AI. - Anita D. Carleton; Erin Harper; Michael R. Lyu; Sigrid Eldh; Tao Xie 001; Tim Menzies (IEEE Softw., 2020)

The AI Effect: Working at the Intersection of AI and SE. - Anita D. Carleton; Erin Harper; Tim Menzies; Tao Xie 001; Sigrid Eldh; Michael R. Lyu (IEEE Softw., 2020)

The Five Laws of SE for AI. - Tim Menzies (IEEE Softw., 2020)

iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker. - Junjie Wang 001; Ye Yang; Tim Menzies; Qing Wang 001 (ACM Trans. Softw. Eng. Methodol., 2020)

Finding Faster Configurations Using FLASH. - Vivek Nair; Zhe Yu 002; Tim Menzies; Norbert Siegmund; Sven Apel (IEEE Trans. Software Eng., 2020)

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. - Sarah Elder; Nusrat Zahan; Valeri Kozarev; Rui Shu; Tim Menzies; Laurie A. Williams (ICSE (SEET), 2021)

Early Life Cycle Software Defect Prediction. Why? How? - N. C. Shrikanth; Suvodeep Majumder; Tim Menzies (ICSE, 2021)

Fairer Software Made Easier (using "Keys"). - Tim Menzies; Kewen Peng; Andre Lustosa (ASE Workshops, 2021)

FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. - Huy Tu; Tim Menzies (ASE, 2021)

Lessons learned from hyper-parameter tuning for microservice candidate identification. - Rahul Yedida; Rahul Krishna; Anup K. Kalia; Tim Menzies; Jin Xiao; Maja Vukovic (ASE, 2021)

Mining Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (MSR, 2021)

Bias in machine learning software: why? how? what to do? - Joymallya Chakraborty; Suvodeep Majumder; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of 'a systematic literature review of techniques and metrics to reduce the cost of mutation testing'. - Andre Lustosa; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of 'RefactoringMiner 2.0'. - Andre Lustosa; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of 'what is a feature? a qualitative study of features in industrial software product lines'. - Kewen Peng; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of '"why should I trust you?": explaining the predictions of any classifier'. - Kewen Peng; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a replication of 'populating a release history database from version control and bug tracking systems'. - Xueqi Yang; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'. - Xueqi Yang; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reproduction of 'is there a "golden" feature set for static warning identification? - an experimental evaluation'. - Xueqi Yang; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of 'a systematic study of the class imbalance problem in convolutional neural networks'. - Rahul Yedida; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Documenting evidence of a reuse of 'on the number of linear regions of deep neural networks'. - Rahul Yedida; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization). - Jianfeng Chen; Xipeng Shen; Tim Menzies (CoRR, 2021)

When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time. - Rahul Yedida; Xueqi Yang; Tim Menzies (CoRR, 2021)

Mining Scientific Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (CoRR, 2021)

The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors. - N. C. Shrikanth; Tim Menzies (CoRR, 2021)

VEER: Disagreement-Free Multi-objective Configuration. - Kewen Peng; Christian Kaltenecker; Norbert Siegmund; Sven Apel; Tim Menzies (CoRR, 2021)

Crowdsourcing the State of the Art(ifacts). - Maria Teresa Baldassarre; Neil A. Ernst; Ben Hermann; Tim Menzies; Rahul Yedida (CoRR, 2021)

FRUGAL: Unlocking SSL for Software Analytics. - Huy Tu; Tim Menzies (CoRR, 2021)

Partitioning Cloud-based Microservices (via Deep Learning). - Rahul Yedida; Rahul Krishna; Anup K. Kalia; Tim Menzies; Jin Xiao; Maja Vukovic (CoRR, 2021)

xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. - Kewen Peng; Joymallya Chakraborty; Tim Menzies (CoRR, 2021)

PyTorrent: A Python Library Corpus for Large-scale Language Models. - Mehdi Bahrami; N. C. Shrikanth; Shade Ruangwan; Lei Liu; Yuji Mizobuchi; Masahiro Fukuyori; Wei-Peng Chen; Kazuki Munakata; Tim Menzies (CoRR, 2021)

Can We Achieve Fairness Using Semi-Supervised Learning? - Joymallya Chakraborty; Huy Tu; Suvodeep Majumder; Tim Menzies (CoRR, 2021)

Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation). - Xiao Ling; Tim Menzies (CoRR, 2021)

Assessing practitioner beliefs about software engineering. - N. C. Shrikanth; William Nichols; Fahmid Morshed Fahid; Tim Menzies (Empir. Softw. Eng., 2021)

How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization). - Rui Shu; Tianpei Xia; Jianfeng Chen; Laurie A. Williams; Tim Menzies (Empir. Softw. Eng., 2021)

Learning to recognize actionable static code warnings (is intrinsically easy). - Xueqi Yang; Jianfeng Chen; Rahul Yedida; Zhe Yu 002; Tim Menzies (Empir. Softw. Eng., 2021)

Understanding static code warnings: An incremental AI approach. - Xueqi Yang; Zhe Yu 002; Junjie Wang 001; Tim Menzies (Expert Syst. Appl., 2021)

Shockingly Simple: "KEYS" for Better AI for SE. - Tim Menzies (IEEE Softw., 2021)

How to "DODGE" Complex Software Analytics. - Amritanshu Agrawal; Wei Fu 002; Di Chen; Xipeng Shen; Tim Menzies (IEEE Trans. Software Eng., 2021)

Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. - Rahul Krishna; Vivek Nair; Pooyan Jamshidi; Tim Menzies (IEEE Trans. Software Eng., 2021)

Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. - Junjie Wang 001; Song Wang 009; Jianfeng Chen; Tim Menzies; Qiang Cui 001; Miao Xie; Qing Wang 001 (IEEE Trans. Software Eng., 2021)

Improving Vulnerability Inspection Efficiency Using Active Learning. - Zhe Yu 002; Christopher Theisen; Laurie A. Williams; Tim Menzies (IEEE Trans. Software Eng., 2021)

Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). - Suvodeep Majumder; Tianpei Xia; Rahul Krishna; Tim Menzies (MSR, 2022)

Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. - Rui Shu; Tianpei Xia; Laurie A. Williams; Tim Menzies (MSR, 2022)

How to Improve Deep Learning for Software Analytics (a case study with code smell detection). - Rahul Yedida; Tim Menzies (MSR, 2022)

Artificial Intelligence and Software Engineering: Are We Ready? - Atif Mashkoor; Tim Menzies; Alexander Egyed; Rudolf Ramler (Computer, 2022)

Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). - Rui Shu; Tianpei Xia; Huy Tu; Laurie A. Williams; Tim Menzies (CoRR, 2022)

How to Find Actionable Static Analysis Warnings. - Rahul Yedida; Hong Jin Kang; Huy Tu; Xueqi Yang; David Lo 001; Tim Menzies (CoRR, 2022)

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. - Sarah Elder; Nusrat Zahan; Rui Shu; Monica Metro; Valeri Kozarev; Tim Menzies; Laurie A. Williams (CoRR, 2022)

Do I really need all this work to find vulnerabilities? - Sarah Elder; Nusrat Zahan; Rui Shu; Monica Metro; Valeri Kozarev; Tim Menzies; Laurie A. Williams (Empir. Softw. Eng., 2022)

Revisiting process versus product metrics: a large scale analysis. - Suvodeep Majumder; Pranav Mody; Tim Menzies (Empir. Softw. Eng., 2022)

Omni: automated ensemble with unexpected models against adversarial evasion attack. - Rui Shu; Tianpei Xia; Laurie A. Williams; Tim Menzies (Empir. Softw. Eng., 2022)

DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. - Huy Tu; Tim Menzies (Empir. Softw. Eng., 2022)

Predicting health indicators for open source projects (using hyperparameter optimization). - Tianpei Xia; Wei Fu 002; Rui Shu; Rishabh Agrawal; Tim Menzies (Empir. Softw. Eng., 2022)

Assessing expert system-assisted literature reviews with a case study. - Zhe Yu 002; Jeffrey C. Carver; Gregg Rothermel; Tim Menzies (Expert Syst. Appl., 2022)

The Secret to Better AI and Better Software (Is Requirements Engineering). - Nelly Bencomo; Jin L. C. Guo; Rachel Harrison; Hans-Martin Heyn; Tim Menzies (IEEE Softw., 2022)

Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? - Amritanshu Agrawal; Xueqi Yang; Rishabh Agrawal; Rahul Yedida; Xipeng Shen; Tim Menzies (IEEE Trans. Software Eng., 2022)

How Different is Test Case Prioritization for Open and Closed Source Projects? - Xiao Ling; Rishabh Agrawal; Tim Menzies (IEEE Trans. Software Eng., 2022)

Defect Reduction Planning (Using TimeLIME). - Kewen Peng; Tim Menzies (IEEE Trans. Software Eng., 2022)

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). - Huy Tu; Zhe Yu 002; Tim Menzies (IEEE Trans. Software Eng., 2022)

Sequential Model Optimization for Software Effort Estimation. - Tianpei Xia; Rui Shu; Xipeng Shen; Tim Menzies (IEEE Trans. Software Eng., 2022)

On the Value of Oversampling for Deep Learning in Software Defect Prediction. - Rahul Yedida; Tim Menzies (IEEE Trans. Software Eng., 2022)

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. - Zhe Yu 002; Fahmid Morshed Fahid; Huy Tu; Tim Menzies (IEEE Trans. Software Eng., 2022)

Model Review: A PROMISEing Opportunity. - Tim Menzies (PROMISE, 2023)

Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction. - Andre Lustosa; Tim Menzies (CoRR, 2023)

Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics. - Huy Tu; Tim Menzies (CoRR, 2023)

On the Benefits of Semi-Supervised Test Case Generation for Cyber-Physical Systems. - Xiao Ling; Tim Menzies (CoRR, 2023)

SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning. - Xueqi Yang; Mariusz Jakubowski; Kelly Kang; Haojie Yu; Tim Menzies (CoRR, 2023)

Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning. - Andre Lustosa; Tim Menzies (CoRR, 2023)

A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning. - Guanqin Zhang; Jiankun Sun; Feng Xu; Yulei Sui; H. M. N. Dilum Bandara; Shiping Chen 001; Tim Menzies (IEEE Internet Comput., 2023)

Don't Lie to Me: Avoiding Malicious Explanations With STEALTH. - Lauren Alvarez; Tim Menzies (IEEE Softw., 2023)

Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews. - Brittany Johnson; Tim Menzies (IEEE Softw., 2023)

How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik. - Tim Menzies (IEEE Softw., 2023)

"The Best Data Are Fake Data?": An Interview With Chris Hazard. - Tim Menzies; Chris Hazard (IEEE Softw., 2023)

The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). - Tim Menzies; Brittany Johnson; David L. Roberts 001; Lauren Alvarez (IEEE Softw., 2023)

(Re)Use of Research Results (Is Rampant). - Maria Teresa Baldassarre; Neil A. Ernst; Ben Hermann; Tim Menzies; Rahul Yedida (Commun. ACM, 2023)

Finding Trends in Software Research. - George Mathew; Amritanshu Agrawal; Tim Menzies (IEEE Trans. Software Eng., 2023)

FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. - Kewen Peng; Joymallya Chakraborty; Tim Menzies (IEEE Trans. Software Eng., 2023)

How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. - Rahul Yedida; Hong Jin Kang; Huy Tu; Xueqi Yang; David Lo 001; Tim Menzies (IEEE Trans. Software Eng., 2023)

VEER: enhancing the interpretability of model-based optimizations. - Kewen Peng; Christian Kaltenecker; Norbert Siegmund; Sven Apel; Tim Menzies (Empir. Softw. Eng., 2023)

An expert system for redesigning software for cloud applications. - Rahul Yedida; Rahul Krishna; Anup K. Kalia; Tim Menzies; Jin Xiao; Maja Vukovic (Expert Syst. Appl., 2023)

What Not to Test (For Cyber-Physical Systems). - Xiao Ling; Tim Menzies (IEEE Trans. Software Eng., 2023)

4src/fish: another release to make zenodo to index this site. - Tim Menzies (Zenodo, 2023)

4src/fish: another release to make zenodo to index this site. - Tim Menzies (Zenodo, 2023)

Assessing the Early Bird Heuristic (for Predicting Project Quality). - N. C. Shrikanth; Tim Menzies (ACM Trans. Softw. Eng. Methodol., 2023)

Fair Enough: Searching for Sufficient Measures of Fairness. - Suvodeep Majumder; Joymallya Chakraborty; Gina R. Bai; Kathryn T. Stolee; Tim Menzies (ACM Trans. Softw. Eng. Methodol., 2023)

ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions. - Rayhanur Rahman; Brandon Wroblewski; Quinn Matthews; Brantley Morgan; Timothy Menzies; Laurie A. Williams (ICDM, 2024)

Trading Off Scalability, Privacy, and Performance in Data Synthesis. - Xiao Ling; Tim Menzies; Christopher J. Hazard; Jack Shu; Jacob Beel (IEEE Access, 2024)

iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering. - Andre Lustosa; Tim Menzies (IEEE Access, 2024)

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports. - Md. Rayhanur Rahman; Brandon Wroblewski; Quinn Matthews; Brantley Morgan; Tim Menzies; Laurie A. Williams (CoRR, 2024)

SMOOTHIE: A Theory of Hyper-parameter Optimization for Software Analytics. - Rahul Yedida; Tim Menzies (CoRR, 2024)

Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples. - Tim Menzies; Andre Lustosa (CoRR, 2024)

A brief note, with thanks, on the contributions of Guenther Ruhe. - Tim Menzies (Inf. Softw. Technol., 2024)

Ethics: Why Software Engineers Can't Afford to Look Away. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Fighting for What's Right: An Interview With Marc Canellas. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

The Power of Positionality - Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

AI Over-Hype: A Dangerous Threat (and How to Fix It). - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems. - Tim Menzies; Brittany Johnson (IEEE Softw., 2024)

Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health. - Andre Lustosa; Tim Menzies (ACM Trans. Softw. Eng. Methodol., 2024)

When less is more: on the value of "co-training" for semi-supervised software defect predictors. - Suvodeep Majumder; Joymallya Chakraborty; Tim Menzies (Empir. Softw. Eng., 2024)

FairBalance: How to Achieve Equalized Odds With Data Pre-Processing. - Zhe Yu 002; Joymallya Chakraborty; Tim Menzies (IEEE Trans. Software Eng., 2024)

SEA4DQ 2024 Workshop Summary. - Tim Menzies; Bowen Xu; Hong Jin Kang; Jie M. Zhang; Jiri Gesi; Sagar Sen; Beatriz Cassoli; Nicolas Jourdan 001; Jieke Shi; Phu Hong Nguyen; Valentina Golendukhina (ACM SIGSOFT Softw. Eng. Notes, 2024)

Scoping Software Engineering for AI: The TSE Perspective. - Sebastián Uchitel; Marsha Chechik; Massimiliano Di Penta; Bram Adams; Nazareno Aguirre; Gabriele Bavota; Domenico Bianculli; Kelly Blincoe; Ana Cavalcanti 001; Yvonne Dittrich; Filomena Ferrucci; Rashina Hoda; et al. (IEEE Trans. Software Eng., 2024)

The Ethical Engineer's Dilemma: An Interview With Jim Herbsleb. - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

Ethics: How Far Have We Come? - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

AI in State Courts: Navigating Innovation and Ethics With Andrea Miller. - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

Can Large Language Models Improve SE Active Learning via Warm-Starts? - Lohith Senthilkumar; Tim Menzies (CoRR, 2025)

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors. - Tim Menzies (CoRR, 2025)

SparseCoder: Advancing source code analysis with sparse attention and learned token pruning. - Xueqi Yang; Mariusz Jakubowski; Li Kang; Haojie Yu; Tim Menzies (Empir. Softw. Eng., 2025)

Less Noise, More Signal: DRR for Better Optimizations of SE Tasks. - Andre Lustosa; Tim Menzies (CoRR, 2025)

Software Engineering Principles for Fairer Systems: Experiments with GroupCART. - Kewen Peng; Hao Zhuo; Yicheng Yang; Tim Menzies (CoRR, 2025)

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets. - Kishan Kumar Ganguly; Tim Menzies (CoRR, 2025)

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Bad Seeds. - Xiang Lan; Tim Menzies; Bowen Xu (CoRR, 2025)

Is Hyper-Parameter Optimization Different for Software Analytics? - Rahul Yedida; Tim Menzies (IEEE Trans. Software Eng., 2025)

Report from the ASE 2024 Workshop on Replications and Negative Results. - Rahul Yedida; Tim Menzies (ACM SIGSOFT Softw. Eng. Notes, 2025)

Shaky structures: The wobbly world of causal graphs in software analytics. - Jeremy Hulse; Nasir U. Eisty; Tim Menzies (Empir. Softw. Eng., 2025)