Tim Menzies

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a reproduction of 'is there a "golden" feature set for static warning identification? - an experimental evaluation'.

[BibT_eX]

[DOI]

Xueqi Yang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'.

[BibT_eX]

[DOI]

Xueqi Yang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a replication of 'populating a release history database from version control and bug tracking systems'.

[BibT_eX]

[DOI]

Xueqi Yang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a reuse of '"why should I trust you?": explaining the predictions of any classifier'.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a reuse of 'what is a feature? a qualitative study of features in industrial software product lines'.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a reuse of 'RefactoringMiner 2.0'.

[BibT_eX]

[DOI]

Andre Lustosa

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Documenting evidence of a reuse of 'a systematic literature review of techniques and metrics to reduce the cost of mutation testing'.

[BibT_eX]

[DOI]

Andre Lustosa

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Bias in machine learning software: why? how? what to do?

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Mining Workflows for Anomalous Data Transfers.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Lessons learned from hyper-parameter tuning for microservice candidate identification.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Fairer Software Made Easier (using "Keys").

[BibT_eX]

[DOI]

Andre Lustosa

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Early Life Cycle Software Defect Prediction. Why? How?

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

2020

Finding Faster Configurations Using FLASH.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2020

iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2020

The Five Laws of SE for AI.

[BibT_eX]

[DOI]

IEEE Softw., 2020

The AI Effect: Working at the Intersection of AI and SE.

[BibT_eX]

[DOI]

IEEE Softw., 2020

Expert Perspectives on AI.

[BibT_eX]

[DOI]

IEEE Softw., 2020

Learning actionable analytics from multiple software projects.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2020

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2020

Improving Deep Learning for Defect Prediction (using the GHOST Hyperparameter Optimizer).

[BibT_eX]

[DOI]

Rahul Yedida

CoRR, 2020

Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer).

[BibT_eX]

[DOI]

CoRR, 2020

How to Recognize Actionable Static Code Warnings (Using Linear SVMs).

[BibT_eX]

[DOI]

CoRR, 2020

Fairway: SE Principles for Building Fairer Software.

[BibT_eX]

[DOI]

Zhe Wu

CoRR, 2020

How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool.

[BibT_eX]

[DOI]

CoRR, 2020

The Changing Nature of Computational Science Software.

[BibT_eX]

[DOI]

Rishabh Agrawal

CoRR, 2020

Fairway: a way to build fair ML software.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Making Fair ML Software using Trustworthy Explanation.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

What disconnects practitioner belief and empirical evidence?

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Assessing practitioner beliefs about software defect prediction.

[BibT_eX]

[DOI]

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

2019

Bellwethers: A Baseline Method for Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2019

A Deep Learning Model for Estimating Story Points.

[BibT_eX]

[DOI]

Morakot Choetkiertikul

IEEE Trans. Software Eng., 2019

"Sampling" as a Baseline Optimizer for Search-Based Software Engineering.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2019

Images don't lie: Duplicate crowdtesting reports detection with screenshot information.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

"Bad smells" in software analytics papers.

[BibT_eX]

[DOI]

Martin J. Shepperd

Inf. Softw. Technol., 2019

FAST2: An intelligent assistant for finding relevant papers.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Assessing Practitioner Beliefs.

[BibT_eX]

[DOI]

CoRR, 2019

Sequential Model Optimization for Software Process Control.

[BibT_eX]

[DOI]

CoRR, 2019

Is AI different for SE?

[BibT_eX]

[DOI]

CoRR, 2019

Learning GENERAL Principles from Hundreds of Software Projects.

[BibT_eX]

[DOI]

CoRR, 2019

Improved Recognition of Security Bugs via Dual Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).

[BibT_eX]

[DOI]

CoRR, 2019

Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review.

[BibT_eX]

[DOI]

CoRR, 2019

Better Technical Debt Detection via SURVEYing.

[BibT_eX]

[DOI]

Fahmid M. Fahid

CoRR, 2019

Better Security Bug Report Classification via Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization.

[BibT_eX]

[DOI]

Tianpei Xia

Fahmid M. Fahid

CoRR, 2019

Faster Creation of Smaller Test Suites (with SNAP).

[BibT_eX]

[DOI]

CoRR, 2019

Enhanced Labeling of Issue Reports (with F3T).

[BibT_eX]

[DOI]

CoRR, 2019

Why Software Projects need Heroes (Lessons Learned from 1100+ Projects).

[BibT_eX]

[DOI]

CoRR, 2019

Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction".

[BibT_eX]

[DOI]

CoRR, 2019

TERMINATOR: better automated UI test case prioritization.

[BibT_eX]

[DOI]

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Predicting breakdowns in cloud services (with SPIKE).

[BibT_eX]

[DOI]

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Replication can improve prior results: a GitHub study of pull request acceptance.

[BibT_eX]

[DOI]

Di Chen

Kathryn T. Stolee

Proceedings of the 27th International Conference on Program Comprehension, 2019

iSENSE: completion-aware crowdtesting management.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering, 2019

Take control: on the unreasonable effectiveness of software analytics.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

2018

Heterogeneous Defect Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2018

Actionable Analytics for Software Engineering.

[BibT_eX]

[DOI]

IEEE Softw., 2018

From Voice of Evidence to Redirections.

[BibT_eX]

[DOI]

Rafael Prikladnicki

IEEE Softw., 2018

Software Analytics: What's Next?

[BibT_eX]

[DOI]

IEEE Softw., 2018

The Unreasonable Effectiveness of Software Analytics.

[BibT_eX]

[DOI]

IEEE Softw., 2018

Software Engineering's Top Topics, Trends, and Researchers.

[BibT_eX]

[DOI]

IEEE Softw., 2018

Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering.

[BibT_eX]

[DOI]

Justyna Petke

Inf. Softw. Technol., 2018

Beyond evolutionary algorithms for search-based software engineering.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2018

What is wrong with topic modeling? And how to fix it using search-based software engineering.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2018

Finding better active learners for faster literature reviews.

[BibT_eX]

[DOI]

Nicholas A. Kraft

Empir. Softw. Eng., 2018

Better Metrics for Ranking SE Researchers.

[BibT_eX]

[DOI]

CoRR, 2018

Crowdtesting : When is The Party Over?

[BibT_eX]

[DOI]

CoRR, 2018

Cutting Away the Confusion From Crowdtesting.

[BibT_eX]

[DOI]

CoRR, 2018

Effective Automated Decision Support for Managing Crowdtesting.

[BibT_eX]

[DOI]

CoRR, 2018

Hyperparameter Optimization for Effort Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.

[BibT_eX]

[DOI]

CoRR, 2018

Why Software Effort Estimation Needs SBSE.

[BibT_eX]

[DOI]

CoRR, 2018

Cost-aware Vulnerability Prediction: the HARMLESS Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Bad Smells in Software Analytics Papers.

[BibT_eX]

[DOI]

CoRR, 2018

Building Better Quality Predictors Using "ε-Dominance".

[BibT_eX]

[DOI]

CoRR, 2018

Transfer Learning with Bellwethers to find Good Configurations.

[BibT_eX]

[DOI]

CoRR, 2018

Scout: An Experienced Guide to Find the Best Cloud Configuration.

[BibT_eX]

[DOI]

CoRR, 2018

Faster discovery of faster system configurations with spectral learning.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2018

Total recall, language processing, and software engineering.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, 2018

Applications of psychological science for actionable analytics.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Data-driven search-based software engineering.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

500+ times faster than deep learning: a case study exploring faster methods for text mining stackoverflow.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

We don't need another hero?: the impact of "heroes" on software development.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering, 2018

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Introduction to the Minitrack on Frontiers in AI and Software Engineering.

[BibT_eX]

[DOI]

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Micky: A Cheaper Alternative for Selecting Cloud Instances.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

RIOT: A Stochastic-Based Method for Workflow Scheduling in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

TMAP: Discovering relevant API methods through text mining of API documentation.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2017

Less is more: Minimizing code reorganization using XTREE.

[BibT_eX]

[DOI]

Lucas Layman

Inf. Softw. Technol., 2017

Negative results for software effort estimation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2017

Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2017

Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM.

[BibT_eX]

[DOI]

CoRR, 2017

Continuous Integration: The Silver Bullet?

[BibT_eX]

[DOI]

CoRR, 2017

RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Effective Changes For Software Projects.

[BibT_eX]

[DOI]

CoRR, 2017

Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?

[BibT_eX]

[DOI]

CoRR, 2017

Better Predictors for Issue Lifetime.

[BibT_eX]

[DOI]

Mitch Rees-Jones

Matthew Martin

CoRR, 2017

FLASH: A Faster Optimizer for SBSE Tasks.

[BibT_eX]

[DOI]

CoRR, 2017

Shorter Reasoning About Larger Requirements Models.

[BibT_eX]

[DOI]

CoRR, 2017

Simpler Transfer Learning (Using "Bellwethers").

[BibT_eX]

[DOI]

CoRR, 2017

Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study.

[BibT_eX]

[DOI]

Di Chen

Kathryn T. Stolee

CoRR, 2017

"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction).

[BibT_eX]

[DOI]

CoRR, 2017

A guest editorial: special issue on search based software engineering and data mining.

[BibT_eX]

[DOI]

Marouane Kessentini

Autom. Softw. Eng., 2017

Using bad learners to find good configurations.

[BibT_eX]

[DOI]

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Revisiting unsupervised learning for defect prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Easy over hard: a case study on deep learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

"SHORT"er Reasoning About Larger Requirements Models.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

Trends in topics at SE conferences (1993-2013).

[BibT_eX]

[DOI]

Proceedings of the 39th International Conference on Software Engineering, 2017

Using Stakeholder Preferences to Make Better Architecture Decisions.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Software Architecture Workshops, 2017

Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2017, 2017

2016

Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations).

[BibT_eX]

[DOI]

Joseph Krall

Misty D. Davies

IEEE Trans. Hum. Mach. Syst., 2016

Tuning for software analytics: Is it really necessary?

[BibT_eX]

[DOI]

Xipeng Shen

Inf. Softw. Technol., 2016

How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews.

[BibT_eX]

[DOI]

Nicholas A. Kraft

CoRR, 2016

Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation.

[BibT_eX]

[DOI]

Jairus Hihn

CoRR, 2016

Recommendations for Intelligent Code Reorganization.

[BibT_eX]

[DOI]

Lucas Layman

CoRR, 2016

Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?

[BibT_eX]

[DOI]

CoRR, 2016

Is "Sampling" better than "Evolution" for Search-based Software Engineering?

[BibT_eX]

[DOI]

CoRR, 2016

What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE).

[BibT_eX]

[DOI]

CoRR, 2016

An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE.

[BibT_eX]

[DOI]

Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016

Topic modeling of NASA space system problem reports: research in practice.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Too much automation? the bellwether effect and its implications for transfer learning.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

How not to do it: anti-patterns for data science in software engineering.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Software Engineering, 2016

Correlation is not causation (or, when not to scream "Eureka!").

[BibT_eX]

[DOI]

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

Seven principles of inductive software engineering.

[BibT_eX]

[DOI]

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015

GALE: Geometric Active Learning for Search-Based Software Engineering.

[BibT_eX]

[DOI]

Joseph Krall

Misty D. Davies

IEEE Trans. Software Eng., 2015

Transfer learning in effort estimation.

[BibT_eX]

[DOI]

Emilia Mendes

Empir. Softw. Eng., 2015

Cross-Project Data for Software Engineering.

[BibT_eX]

[DOI]

Computer, 2015

Guest editorial: special multi-issue on selected topics in automated software engineering.

[BibT_eX]

[DOI]

Corina S. Pasareanu

Autom. Softw. Eng., 2015

Guest editorial: special issue on realizing AI synergies in software engineering (part 2).

[BibT_eX]

[DOI]

Rachel Harrison

Autom. Softw. Eng., 2015

Guest editorial: special issue on realizing AI synergies in software engineering.

[BibT_eX]

[DOI]

Rachel Harrison

Autom. Softw. Eng., 2015

Actionable = Cluster + Contrast?

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015

Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas?

[BibT_eX]

[DOI]

Jairus Hihn

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015

LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction.

[BibT_eX]

[DOI]

Lucas Layman

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

The Art and Science of Analyzing Software Data; Quantitative Methods.

[BibT_eX]

[DOI]

Leandro L. Minku

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

1st International Workshop on Big Data Software Engineering (BIGDSE 2015).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Past, Present, and Future of Analyzing Software Data.

[BibT_eX]

[DOI]

Proceedings of the Art and Science of Analyzing Software Data, 2015

2014

Special issue on realizing artificial intelligence synergies in software engineering.

[BibT_eX]

[DOI]

Marjan Mernik

Softw. Qual. J., 2014

Software Development Analytics (Dagstuhl Seminar 14261).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2014

Analyzing software data: after the gold rush (a goldfish-bowl panel).

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Software Engineering, 2014

Learning the Task Management Space of an Aircraft Approach Model.

[BibT_eX]

[DOI]

Joseph Krall

Misty D. Davies

Proceedings of the 2014 AAAI Spring Symposia, 2014

Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Recommendation Systems in Software Engineering, 2014

Occam's Razor and Simple Software Project Management.

[BibT_eX]

[DOI]

Proceedings of the Software Project Management in a Changing World, 2014

2013

Balancing Privacy and Utility in Cross-Company Defect Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2013

Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2013

Local versus Global Lessons for Defect Prediction and Effort Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2013

Active Learning and Effort Estimation: Finding the Essential Content of Software Effort Estimation Data.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2013

The Many Faces of Software Analytics.

[BibT_eX]

[DOI]

IEEE Softw., 2013

Software Analytics: So What?

[BibT_eX]

[DOI]

IEEE Softw., 2013

Beyond Data Mining.

[BibT_eX]

[DOI]

IEEE Softw., 2013

Software effort models should be assessed via leave-one-out validation.

[BibT_eX]

[DOI]

J. Syst. Softw., 2013

Guest editorial for the Special Section on BEST PAPERS from the 2011 conference on Predictive Models in Software Engineering (PROMISE).

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2013

Incremental Development of Fault Prediction Models.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2013

Predictive models in software engineering.

[BibT_eX]

[DOI]

Günes Koru

Empir. Softw. Eng., 2013

Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy.

[BibT_eX]

[DOI]

Jacky W. Keung

Empir. Softw. Eng., 2013

Finding conclusion stability for selecting the best effort predictor in software effort estimation.

[BibT_eX]

[DOI]

Jacky Keung

Autom. Softw. Eng., 2013

Beyond data mining; towards "idea engineering".

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

Building a second opinion: learning cross-company data.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

Better cross company defect prediction.

[BibT_eX]

[DOI]

Andrian Marcus

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Class level fault prediction using software clustering.

[BibT_eX]

[DOI]

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

Scalable product line configuration: A straw to break the camel's back.

[BibT_eX]

[DOI]

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

On the value of user preferences in search-based software engineering: a case study in software product lines.

[BibT_eX]

[DOI]

Abdel Salam Sayyad

Hany H. Ammar

Proceedings of the 35th International Conference on Software Engineering, 2013

Optimum feature selection in software product lines: Let your model and values guide your search.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, 2013

Data science for software engineering.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Software Engineering, 2013

Distributed development considered harmful?

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Software Engineering, 2013

2nd international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2013).

[BibT_eX]

[DOI]

Pedro Rangel Henriques

Daniela Carneiro da Cruz

Daniel Rodríguez

Proceedings of the 35th International Conference on Software Engineering, 2013

Automatic query reformulations for text retrieval in software engineering.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Software Engineering, 2013

1st international workshop on data analysis patterns in software engineering (DAPSE 2013).

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Software Engineering, 2013

Foreword.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Data Analysis Patterns in Software Engineering, 2013

Learning from Open-Source Projects: An Empirical Study on Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

2012

On the Value of Ensemble Effort Estimation.

[BibT_eX]

[DOI]

Maria João Varanda Pereira

Jacky W. Keung

IEEE Trans. Software Eng., 2012

Exploiting the Essential Assumptions of Analogy-Based Effort Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2012

Report from the first international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2012).

[BibT_eX]

[DOI]

Rachel Harrison

Daniela Carneiro da Cruz

Pedro Rangel Henriques

ACM SIGSOFT Softw. Eng. Notes, 2012

Learning Better Inspection Optimization Policies.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2012

Special issue on repeatable results in software engineering prediction.

[BibT_eX]

[DOI]

Martin J. Shepperd

Empir. Softw. Eng., 2012

Guest editorial: learning to organize testing.

[BibT_eX]

[DOI]

Ayse Basar Bener

Autom. Softw. Eng., 2012

Size doesn't matter?: on the value of software size features for effort estimation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Learning to change projects.

[BibT_eX]

[DOI]

Raymond Borges

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Crowd-Sourced Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Software feature model recommendations using data mining.

[BibT_eX]

[DOI]

Abdel Salam Sayyad

Hany H. Ammar

Proceedings of the Third International Workshop on Recommendation Systems for Software Engineering, 2012

Privacy and utility for defect prediction: Experiments with MORPH.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Software Engineering, 2012

Goldfish bowl panel: Software development analytics.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Software Engineering, 2012

2011

Genetic Algorithms for Randomized Unit Testing.

[BibT_eX]

[DOI]

James H. Andrews

Felix Chun Hang Li

IEEE Trans. Software Eng., 2011

Sharing experiments using open-source software.

[BibT_eX]

[DOI]

Adam Nelson

Gregory Gay

Softw. Pract. Exp., 2011

Exploring the Effort of General Software Project Activities with Data Mining.

[BibT_eX]

[DOI]

Topi Haapio

Int. J. Softw. Eng. Knowl. Eng., 2011

Learning patterns of university student retention.

[BibT_eX]

[DOI]

Ashutosh Nandeshwar

Adam Nelson

Expert Syst. Appl., 2011

Local vs. global models for effort estimation and defect prediction.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

How to Find Relevant Data for Effort Estimation?

[BibT_eX]

[DOI]

Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011

The Quest for Convincing Evidence.

[BibT_eX]

Forrest Shull

Proceedings of the Making Software - What Really Works, and Why We Believe It., 2011

2010

Case-Based Reasoning for Reducing Software Development Effort.

[BibT_eX]

[DOI]

J. Softw. Eng. Appl., 2010

A second look at Faster, Better, Cheaper.

[BibT_eX]

[DOI]

Oussama El-Rawas

Innov. Syst. Softw. Eng., 2010

Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2010

Defect prediction from static code features: current results, limitations, new approaches.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2010

Stable rankings for different effort models.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2010

Finding robust solutions in requirements models.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2010

Automatically finding the control variables for complex system behavior.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2010

Software is data too.

[BibT_eX]

[DOI]

Andrian Marcus

Proceedings of the Workshop on Future of Software Engineering Research, 2010

On the shoulders of giants.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Future of Software Engineering Research, 2010

On the value of learning from defect dense components for software defect prediction.

[BibT_eX]

[DOI]

Hongyu Zhang

Adam Nelson

Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010

Case-based reasoning vs parametric models for software quality optimization.

[BibT_eX]

[DOI]

Adam Brady

Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010

Regularities in Learning Defect Predictors.

[BibT_eX]

[DOI]

Burak Turhan

Ayse Basar Bener

Proceedings of the Product-Focused Software Process Improvement, 2010

When to use data from other projects for effort estimation.

[BibT_eX]

[DOI]

Proceedings of the ASE 2010, 2010

Text mining in supporting software systems risk assurance.

[BibT_eX]

[DOI]

Proceedings of the ASE 2010, 2010

2009

Accurate estimates without local data?

[BibT_eX]

[DOI]

Softw. Process. Improv. Pract., 2009

Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects.

[BibT_eX]

[DOI]

J. Softw. Eng. Appl., 2009

On the relative value of cross-company and within-company data for defect prediction.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2009

Special issue on information retrieval for program comprehension.

[BibT_eX]

[DOI]

Letha H. Etzkorn

Empir. Softw. Eng., 2009

Can we build software faster and better and cheaper?

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

How to build repeatable experiments.

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

On the value of combining feature subset selection with genetic algorithms: faster learning of coverage models.

[BibT_eX]

[DOI]

James H. Andrews

Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

Applications of Simulation and AI Search: Assessing the Relative Merits of Agile vs Traditional Software Development.

[BibT_eX]

[DOI]

Proceedings of the ASE 2009, 2009

Understanding the Value of Software Engineering Technologies.

[BibT_eX]

[DOI]

Proceedings of the ASE 2009, 2009

Is Continuous Compliance Assurance Possible?

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

Variance Analysis in Software Fault Prediction Models.

[BibT_eX]

[DOI]

Proceedings of the ISSRE 2009, 2009

On the Relative Merits of Software Reuse.

[BibT_eX]

[DOI]

Andres S. Orrego

Oussama El-Rawas

Proceedings of the Trustworthy Software Development Processes, 2009

On the use of relevance feedback in IR-based concept location.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

How to avoid drastic software process change (using stochastic stability).

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Software Engineering, 2009

Data mining with software industry project data: A case study.

[BibT_eX]

Topi Haapio

Proceedings of the IADIS International Conference Applied Computing 2009, 2009

2008

A Broad, Quantitative Model for Making Early Requirements Decisions.

[BibT_eX]

[DOI]

IEEE Softw., 2008

Learning better IV&V practices.

[BibT_eX]

[DOI]

Innov. Syst. Softw. Eng., 2008

Editorial, special issue, repeatable experiments in software engineering.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2008

Implications of ceiling effects in defect predictors.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Predictor Models in Software Engineering, 2008

Optimizing requirements decisions with keys.

[BibT_eX]

[DOI]

Omid Jalali

Proceedings of the 4th International Workshop on Predictor Models in Software Engineering, 2008

Comparing design and code metrics for software quality prediction.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Predictor Models in Software Engineering, 2008

Tool Support for Parametric Analysis of Large Software Simulation Systems.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2008), 2008

Using Simulation to Investigate Requirements Prioritization Strategies.

[BibT_eX]

[DOI]

Daniel Port

Alexy Olkov

Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2008), 2008

Nearest neighbor sampling for cross company defect predictors: abstract only.

[BibT_eX]

[DOI]

Burak Turhan

Ayse Basar Bener

Proceedings of the 2008 Workshop on Defects in Large Software Systems, 2008

Can data transformation help in the detection of fault-prone modules?

[BibT_eX]

[DOI]

Yue Jiang

Proceedings of the 2008 Workshop on Defects in Large Software Systems, 2008

Cost Curve Evaluation of Fault Prediction Models.

[BibT_eX]

[DOI]

Yue Jiang

Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), 2008

Accurate Estimates without Calibration?

[BibT_eX]

[DOI]

Proceedings of the Making Globally Distributed Software Development a Success Story, 2008

Automated severity assessment of software defect reports.

[BibT_eX]

[DOI]

Andrian Marcus

Proceedings of the 24th IEEE International Conference on Software Maintenance (ICSM 2008), September 28, 2008

4th international workshop on predictor models in SE (PROMISE 2008).

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Software Engineering (ICSE 2008), 2008

2007

Data Mining Static Code Attributes to Learn Defect Predictors.

[BibT_eX]

[DOI]

Jeremy Greenwald

Art Frank

IEEE Trans. Software Eng., 2007

Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'".

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2007

The Strangest Thing About Software.

[BibT_eX]

[DOI]

Julian Richardson

Computer, 2007

Column Pruning Beats Stratification in Effort Estimation.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Predictor Models in Software Engineering, 2007

The business case for automated software engineering.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

Nighthawk: a two-level genetic-random unit test data generator.

[BibT_eX]

[DOI]

James H. Andrews

Felix Chun Hang Li

Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

Fault Prediction using Early Lifecycle Data.

[BibT_eX]

[DOI]

Yue Jiang

Proceedings of the ISSRE 2007, 2007

2006

Selecting Best Practices for Effort Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2006

Evidence-Based Cost Estimation for Better-Quality Software.

[BibT_eX]

[DOI]

Jairus Hihn

IEEE Softw., 2006

Making Sense of Requirements, Sooner.

[BibT_eX]

[DOI]

Julian Richardson

Computer, 2006

Just enough learning (of association rules): the TAR2 "Treatment" learner.

[BibT_eX]

[DOI]

Ying Hu

Artif. Intell. Rev., 2006

Qualitative Modeling for Requirements Engineering.

[BibT_eX]

[DOI]

Julian Richardson

Proceedings of the 30th Annual IEEE / NASA Software Engineering Workshop (SEW-30 2006), 2006

Learning IV&V Strategies.

[BibT_eX]

[DOI]

Marcus S. Fisher

Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 2006

On the Distribution of Property Violations in Formal Models: An Initial Study.

[BibT_eX]

[DOI]

Jimin Gao

Mats Per Erik Heimdahl

Proceedings of the 30th Annual International Computer Software and Applications Conference, 2006

2005

Finding the Right Data for Software Cost Modeling.

[BibT_eX]

[DOI]

IEEE Softw., 2005

Simple software cost analysis: safe or unsafe?

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, 2005

Feature subset selection can improve software cost estimation accuracy.

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, 2005

Verification and Validation and Artificial Intelligence.

[BibT_eX]

[DOI]

Charles Pecheur

Adv. Comput., 2005

Specialization and extrapolation of software cost models.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering (ASE 2005), 2005

Predictor models in software engineering (PROMISE).

[BibT_eX]

[DOI]

Jelber Sayyad-Shirabad

Proceedings of the 27th International Conference on Software Engineering (ICSE 2005), 2005

Validation methods for calibrating software effort models.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Software Engineering (ICSE 2005), 2005

2004

Mining Repositories to Assist in Project Planning and Resource Allocation.

[BibT_eX]

Chris Cunanan

Robert (Mike) Chapman

Proceedings of the 1st International Workshop on Mining Software Repositories, 2004

Text is Software Too.

[BibT_eX]

Alexander Dekhtyar

Jane Huffman Hayes

Proceedings of the 1st International Workshop on Mining Software Repositories, 2004

How Good Is Your Blind Spot Sampling Policy?

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004

2003

More Success and Failure Factors in Software Reuse.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2003

Editorial: model-based requirements engineering.

[BibT_eX]

[DOI]

Requir. Eng., 2003

Guest Editor's Introduction: 21st Century AI--Proud, Not Smug.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2003

Data Mining for Very Busy People.

[BibT_eX]

[DOI]

Ying Hu

Computer, 2003

On the Advantages of Approximate vs. Complete Verification: Bigger Models, Faster, Less Memory, Usually Accurate.

[BibT_eX]

[DOI]

Mats Per Erik Heimdahl

Jimin Gao

Proceedings of the 28th Annual IEEE / NASA Software Engineering Workshop (SEW-28 2003), 2003

Model-Based Software Testing via Incremental Treatment Learning.

[BibT_eX]

[DOI]

Dustin Geletko

Proceedings of the 28th Annual IEEE / NASA Software Engineering Workshop (SEW-28 2003), 2003

Lurch: a Lightweight Alternative to Model Checking.

[BibT_eX]

Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Better Analysis of Defect Data at NASA.

[BibT_eX]

Robyn R. Lutz

Ines Carmen Mikulski

Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Improved Software Engineering Decision Support Through Automatic Argument Reduction Tools.

[BibT_eX]

James D. Kiper

Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Relating Practitioner Needs to Research Activities.

[BibT_eX]

[DOI]

Judith R. Connelly

Proceedings of the 11th IEEE International Conference on Requirements Engineering (RE 2003), 2003

Learning Early Lifecycle IV&V Quality Indicators.

[BibT_eX]

[DOI]

Mike Chapman

Proceedings of the 9th IEEE International Software Metrics Symposium (METRICS 2003), 2003

When Can We Test Less?

[BibT_eX]

[DOI]

Robert (Mike) Chapman

John Davis

Proceedings of the 9th IEEE International Software Metrics Symposium (METRICS 2003), 2003

Validating an Online Adaptive System Using SVDD.

[BibT_eX]

[DOI]

Marcello R. Napolitano

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Matching Software Practitioner Needs to Researcher Activities.

[BibT_eX]

[DOI]

Judith R. Connelly

Proceedings of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), 2003

2002

Applications of Abduction: Testing Very Long Qualitative Simulations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2002

Simulations for very early lifecycle quality evaluations.

[BibT_eX]

[DOI]

Eliza Chiang

Softw. Process. Improv. Pract., 2002

Some prolog macros for rule-based programming: why? how?

[BibT_eX]

[DOI]

Lindsay Mason

Proceedings of the 2002 ACM SIGPLAN Workshop on Rule-Based Programming, 2002

Converging on the Optimal Attainment of Requirements.

[BibT_eX]

[DOI]

Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering (RE 2002), 2002

What Makes Finite-State Models More (or Less) Testable?

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automated Software Engineering (ASE 2002), 2002

Model-Based Tests of Truisms.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automated Software Engineering (ASE 2002), 2002

Saturation Effects in Testing of Formal Models.

[BibT_eX]

[DOI]

Proceedings of the 13th International Symposium on Software Reliability Engineering (ISSRE 2002), 2002

Machine Learning for Software Engineering: Case Studies in Software Reuse.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Data Sniffing - Monitoring of Machine Learning for Online Adaptive Systems.

[BibT_eX]

[DOI]

Yan Liu

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

An Alternative to Model Checking: Verification by Random Search of AND-OR Graphs Representing Finite-State Models.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2002), 2002

What Is an Agent and Why Should I Care?

[BibT_eX]

[DOI]

Proceedings of the Formal Approaches to Agent-Based Systems, Second International Workshop, 2002

You Seem Friendly, But Can I Trust You?

[BibT_eX]

[DOI]

Proceedings of the Formal Approaches to Agent-Based Systems, Second International Workshop, 2002

2001

Better Reasoning About Software Engineering Activities.

[BibT_eX]

[DOI]

James D. Kiper

Proceedings of the 16th IEEE International Conference on Automated Software Engineering (ASE 2001), 2001

Fast Formal Analysis of Requirements via "Topoi Diagrams".

[BibT_eX]

[DOI]

John D. Powell

Michael E. Houle

Proceedings of the 23rd International Conference on Software Engineering, 2001

How AI Can Help SE; or: Randomized Search Not Considered Harmful.

[BibT_eX]

[DOI]

Harshinder Singh

Proceedings of the Advances in Artificial Intelligence, 2001

2000

When to Test Less.

[BibT_eX]

[DOI]

IEEE Softw., 2000

Meta-knowledge in systems design: panacea ... or undelivered promise?

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2000

Issues with Meta-Knowledge.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2000

Adequacy of Limited Testing for Knowledge Based Systems.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2000

Reports on the AAAI 1999 Workshop Program.

[BibT_eX]

[DOI]

AI Mag., 2000

Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment.

[BibT_eX]

[DOI]

Erik Sinsel

Proceedings of the Fifteenth IEEE International Conference on Automated Software Engineering, 2000

The Complexity of TRMCS-like Spiral Specification.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Software Specification and Design, 2000

Testing Nondeterminate Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th International Symposium on Software Reliability Engineering (ISSRE 2000), 2000

WISE3: the Third International Workshop on Intelligent Software Engineering (workshop session).

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on on Software Engineering, 2000

Agents Talking Faster.

[BibT_eX]

[DOI]

Harshinder Singh

Proceedings of the Formal Approaches to Agent-Based Systems, First International Workshop, 2000

1999

Cost benefits of ontologies.

[BibT_eX]

[DOI]

Intell., 1999

Knowledge maintenance: the state of the art.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 1999

Editorial: Evaluating knowledge engineering techniques.

[BibT_eX]

[DOI]

Frank van Harmelen

Int. J. Hum. Comput. Stud., 1999

Critical success metrics: evaluation at the business level.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 1999

Desert Island Column.

[BibT_eX]

[DOI]

Autom. Softw. Eng., 1999

An Empirical Investigation of Multiple Viewpoint Reasoning in Requirements Engineering.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Symposium on Requirements Engineering (RE '99), 1999

On the Sufficiency of Limited Testing for Knowledge Based Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1998

Editorial: the challenge of situated cognition for symbolic knowledge-based systems.

[BibT_eX]

[DOI]

William J. Clancey

Int. J. Hum. Comput. Stud., 1998

Towards situated knowledge acquisition.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 1998

On the Practicality of Viewpoint-Based Requirements Engineering.

[BibT_eX]

[DOI]

Proceedings of the PRICAI'98, 1998

Lower Bounds on the Size of Test Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 1998 European Workshop on Validation and Verification of Knowledge-Based Systems, 1998

The Temporal QCM Modelling Language.

[BibT_eX]

[DOI]

Brian Hanlon

Proceedings of the Advanced Topics in Artificial Intelligence, 1998

1997

Object-Oriented Patterns: Lessons from Expert Systems.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 1997

Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models.

[BibT_eX]

[DOI]

Paul Compton

Artif. Intell. Medicine, 1997

A Graph Theoretic Optimisation of Temporal Abductive Validation.

[BibT_eX]

Robert F. Cohen

Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, 1997

Evaluating a Qualitative Reasoner.

[BibT_eX]

[DOI]

Simon Goss

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996

Applications of abduction: knowledge-level modelling.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 1996

Visual Programming, Knowledge Engineering, and Software Engineering.

[BibT_eX]

Proceedings of the 8th International Conference on Software Engineering and Knowledge Engineering, 1996

On the Practicality of Abductive Validation.

[BibT_eX]

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1993

How to Edit "It"; or: A "Black-box" Constraint-Based Framework for User-Interaction with Arbitrary Structures.

[BibT_eX]

Richard Spurrett

Proceedings of the Technology of Object-Oriented Languages and Systems Tools 12: Proceedings of the twelfth International Conference Tools Pacific, 1993

The Mysterious Case of the Missing Reusable Class Libraries.

[BibT_eX]

Julian M. Edwards

Kekwee Ng

Proceedings of the Technology of Object-Oriented Languages and Systems Tools 12: Proceedings of the twelfth International Conference Tools Pacific, 1993

"C++ is Better Than Smalltalk"??

[BibT_eX]

Philip Haynes

Proceedings of the Technology of Object-Oriented Languages and Systems Tools 12: Proceedings of the twelfth International Conference Tools Pacific, 1993

1992

Is-a Object Part-of Knowledge Representation (Part 2).

[BibT_eX]

Proceedings of the TOOLS 1992: 6th International Conference on Technology of Object-Oriented Languages and Systems, 1992

1989

An Investigation of AI and Expert Systems Literature: 1980-1984.

[BibT_eX]

[DOI]