Supporting agile team composition: A prototype tool for identifying personality (In)compatibilities. - Sherlock A. Licorish; Anne Philpott; Stephen G. MacDonell (CHASE, 2009)

What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository. - Sherlock A. Licorish; Stephen G. MacDonell (CHASE, 2012)

Self-organising Roles in Agile Globally Distributed Teams. - Sherlock A. Licorish; Stephen G. MacDonell (ACIS, 2013)

What Can Developers' Messages Tell Us? A Psycholinguistic Analysis of Jazz Teams' Attitudes and Behavior Patterns. - Sherlock A. Licorish; Stephen G. MacDonell (Australian Software Engineering Conference, 2013)

The true role of active communicators: an empirical study of Jazz core developers. - Sherlock A. Licorish; Stephen G. MacDonell (EASE, 2013)

Adopting softer approaches in the study of repository data: a comparative analysis. - Sherlock A. Licorish; Stephen G. MacDonell (EASE, 2013)

How Do Globally Distributed Agile Teams Self-organise? - Initial Insights from a Case Study. - Sherlock A. Licorish; Stephen G. MacDonell (ENASE, 2013)

Differences in Jazz project leaders' competencies and behaviors: A preliminary empirical investigation. - Sherlock A. Licorish; Stephen G. MacDonell (CHASE@ICSE, 2013)

Personality profiles of global software developers. - Sherlock A. Licorish; Stephen G. MacDonell (EASE, 2014)

Combining Text Mining and Visualization Techniques to Study Teams' Behavioral Processes. - Sherlock A. Licorish; Stephen G. MacDonell (MUD@ICSME, 2014)

Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study. - Sherlock A. Licorish; Stephen G. MacDonell (Inf. Softw. Technol., 2014)

They'll Know It When They See It: Analyzing Post-Release Feedback from the Android Community. - Chan Won Lee; Sherlock A. Licorish; Stephen G. MacDonell; Priyanka Patel; Tony Savarimuthu (AMCIS, 2015)

On Satisfying the Android OS Community: User Feedback Still Central to Developers' Portfolios. - Sherlock A. Licorish; Amjed Tahir; Michael Franklin Bosu; Stephen G. MacDonell (ASWEC, 2015)

Analyzing confidentiality and privacy concerns: insights from Android issue logs. - Sherlock A. Licorish; Stephen G. MacDonell; Tony Clear (EASE, 2015)

Communication and personality profiles of global software developers. - Sherlock A. Licorish; Stephen G. MacDonell (Inf. Softw. Technol., 2015)

Co-Existence of the 'Technical Debt' and 'Software Legacy' Concepts. - Johannes Holvitie; Sherlock A. Licorish; Antonio Martini 001; Ville Leppänen (QuASoQ/TDA@APSEC, 2016)

Adoption and Suitability of Software Development Methods and Practices. - Sherlock A. Licorish; Johannes Holvitie; Sami Hyrynsalmi; Ville Leppänen; Rodrigo O. Spínola; Thiago Souto Mendes; Stephen G. MacDonell; Jim Buchan (APSEC, 2016)

Exploring decision-making processes in Python. - Smitha Keertipati; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (EASE, 2016)

Approaches for prioritizing feature improvements extracted from app reviews. - Swetha Keertipati; Bastin Tony Roy Savarimuthu; Sherlock A. Licorish (EASE, 2016)

Studying Expectation Violations in Socio-Technical Systems: a Case Study of the Mobile App Community. - Priyanka Patel; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Stephen G. MacDonell (ECIS, 2016)

Process Compliance in Open Source Software Development - a Study of Python enhancement Proposals (PEPS). - Tony Savarimuthu; Hoa Khanh Dam; Sherlock A. Licorish; Smitha Keertipati; Daniel Avery; Aditya K. Ghose (ECIS, 2016)

Modelling Propagation of Technical Debt. - Johannes Holvitie; Sherlock A. Licorish; Ville Leppänen (SEAA, 2016)

Augmenting Text Mining Approaches with Social Network Analysis to Understand the Complex Relationships among Users' Requests: A Case Study of the Android Operating System. - Chan Won Lee; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Stephen G. MacDonell (HICSS, 2016)

Exploring the Prevalence and Evolution of Android Concerns: A Community Viewpoint. - Sherlock A. Licorish (J. Softw., 2016)

Feature Evolution and Reuse - An Exploratory Study of Eclipse. - Amjed Tahir; Sherlock A. Licorish; Stephen G. MacDonell (APSEC, 2017)

Interactive Posters: An Alternative to Collect Practitioners' Experience. - Philipp Diebold; Matthias Galster; Austen Rainer; Sherlock A. Licorish (EASE, 2017)

Attributes that Predict which Features to Fix: Lessons for App Store Mining. - Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Swetha Keertipati (EASE, 2017)

Crowdsourced Knowledge on Stack Overflow: A Systematic Mapping Study. - Sarah Meldrum; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (EASE, 2017)

Investigating developers' email discussions during decision-making in Python language evolution. - Pankajeshwara Sharma; Bastin Tony Roy Savarimuthu; Nigel Stanger; Sherlock A. Licorish; Austen Rainer (EASE, 2017)

"Go Kahoot!" Enriching Classroom Engagement, Motivation and Learning Experience with Games. - Sherlock A. Licorish; Jade Li George; Helen E. Owen; Ben Daniel 001 (ICCE, 2017)

QuickReview: A Novel Data-Driven Mobile User Interface for Reporting Problematic App Features. - Tavita Su'a; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Tobias Langlotz (IUI, 2017)

Exploring software developers' work practices: Task differences, participation, engagement, and speed of task resolution. - Sherlock A. Licorish; Stephen G. MacDonell (Inf. Manag., 2017)

Automating Developers' Responses to App Reviews. - Georgia Greenheld; Bastin Tony Roy Savarimuthu; Sherlock A. Licorish (ASWEC, 2018)

Code Reuse in Stack Overflow and Popular Open Source Java Projects. - Adriaan Lotter; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Sarah Meldrum (ASWEC, 2018)

Formal in the Informal: A Multi-Level Analysis of Core Python Developers' Tweets. - Muhammad Yasir; Kevin Michael; Bastin Tony Roy Savarimuthu; Sherlock A. Licorish (ASWEC, 2018)

Linking User Requests, Developer Responses and Code Changes: Android OS Case Study. - Sherlock A. Licorish; Elijah Zolduoarrati; Nigel Stanger (EASE, 2018)

Can you tell me if it smells?: A study on how developers discuss code smells and anti-patterns in Stack Overflow. - Amjed Tahir; Aiko Yamashita; Sherlock A. Licorish; Jens Dietrich 001; Steve Counsell (EASE, 2018)

3rd Workshop on Hybrid Development Approaches in Software System Development. - Paolo Tell; Stephen G. MacDonell; Sherlock A. Licorish (PROFES, 2018)

Technical debt and agile software development practices and processes: An industry practitioner survey. - Johannes Holvitie; Sherlock A. Licorish; Rodrigo O. Spínola; Sami Hyrynsalmi; Stephen G. MacDonell; Thiago Souto Mendes; Jim Buchan; Ville Leppänen (Inf. Softw. Technol., 2018)

Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository. - Sherlock A. Licorish; Stephen G. MacDonell (Inf. Softw. Technol., 2018)

Students' perception of Kahoot!'s influence on teaching and learning. - Sherlock A. Licorish; Helen E. Owen; Ben Daniel 001; Jade Li George (Res. Pract. Technol. Enhanc. Learn., 2018)

Processos e Práticas Ágeis Sensíveis à Dívida Técnica - Comparação dos Resultados de um Survey Executado no Brasil, Finlândia e Nova Zelândia. - Vivyane Caires; Nicolli Rios; Johannes Holvitie; Ville Leppänen; Sherlock A. Licorish; Stephen G. MacDonell; Jim Buchan; Manoel G. Mendonça; Rodrigo O. Spínola (AMCIS, 2019)

Evaluating the Boundaries of Big Data Environments for Machine Learning. - Fathima Nuzla Ismail; Brendon J. Woodford; Sherlock A. Licorish (Australasian Conference on Artificial Intelligence, 2019)

Features that Predict the Acceptability of Java and JavaScript Answers on Stack Overflow. - Osayande P. Omondiagbe; Sherlock A. Licorish; Stephen G. MacDonell (EASE, 2019)

Catching up with method and process practice: an industry-informed baseline for researchers. - Jil Klünder; Regina Hebig; Paolo Tell; Marco Kuhrmann; Joyce Nakatumba-Nabende; Rogardt Heldal; Stephan Krusche; Masud Fazal-Baqaie; Michael Felderer; Marcela Fabiana Genero Bocco; Steffen Küpper; Sherlock A. Licorish; et al. (ICSE (SEIP), 2019)

Appsent A Tool That Analyzes App Reviews. - Saurabh Malgaonkar; Chan Won Lee; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu; Amjed Tahir (CoRR, 2019)

Handling Numerous Stakeholders Requirements A Research Agenda and Preliminary Outcomes. - Saurabh Malgaonkar; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (CoRR, 2019)

Developers' Responses to App Review Feedback - A Study of Communication Norms in App Development. - Bastin Tony Roy Savarimuthu; Sherlock A. Licorish; Manjula Devananda; Georgia Greenheld; Virginia Dignum; Frank Dignum (COIN(E)@AAMAS, 2020)

Towards Automated Taxonomy Generation for Grouping App Reviews: A Preliminary Empirical Study. - Saurabh Malgaonkar; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (QUATIC, 2020)

Exploring Research Interest in Stack Overflow - A Systematic Mapping Study and Quality Evaluation. - Sarah Meldrum; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (CoRR, 2020)

Understanding requirements prioritisation: literature survey and critical evaluation. - Saurabh Malgaonkar; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (IET Softw., 2020)

A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites. - Amjed Tahir; Jens Dietrich 001; Steve Counsell; Sherlock A. Licorish; Aiko Yamashita (Inf. Softw. Technol., 2020)

Game-Based Student Response System: The Effectiveness of Kahoot! on Junior and Senior Information Science Students' Learning. - Helen E. Owen; Sherlock A. Licorish (J. Inf. Technol. Educ. Res., 2020)

Understanding stack overflow code quality: A recommendation of caution. - Sarah Meldrum; Sherlock A. Licorish; Caitlin A. Owen; Bastin Tony Roy Savarimuthu (Sci. Comput. Program., 2020)

From Setting Up Innovation in a Novel Context To Discovering Sustainable Business - A Framework for Short-Term Events. - Mikko Jaakola; Tuisku Polvinen; Johannes Holvitie; Sherlock A. Licorish; Ville Leppänen (SEAA, 2021)

Contextual Profiling of Stack Overflow Java Code Security Vulnerabilities Initial Insights from a Pilot Study. - Sherlock A. Licorish; Thushika Nishatharan (QRS Companion, 2021)

Relating IS Developers' Attitudes to Engagement. - Sherlock A. Licorish; Stephen G. MacDonell (CoRR, 2021)

On the value of encouraging gender tolerance and inclusiveness in software engineering communities. - Elijah Zolduoarrati; Sherlock A. Licorish (Inf. Softw. Technol., 2021)

Software Engineering in Australasia. - Sherlock A. Licorish; Christoph Treude; John C. Grundy; Kelly Blincoe; Stephen G. MacDonell; Chakkrit Tantithamthavorn; Li Li 029; Jean-Guy Schneider (ACM SIGSOFT Softw. Eng. Notes, 2021)

Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning. - Osayande P. Omondiagbe; Sherlock A. Licorish; Stephen G. MacDonell (DL4SR@CIKM, 2022)

Negative Transfer in Cross Project Defect Prediction: Effect of Domain Divergence. - Osayande P. Omondiagbe; Sherlock A. Licorish; Stephen G. MacDonell (SEAA, 2022)

Evaluating Simple and Complex Models' Performance When Predicting Accepted Answers on Stack Overflow. - Osayande P. Omondiagbe; Sherlock A. Licorish; Stephen G. MacDonell (SEAA, 2022)

Combining GIN and PMD for code improvements. - Sherlock A. Licorish; Markus Wagner 007 (GECCO Companion, 2022)

Dissecting copy/delete/replace/swap mutations: insights from a GIN case study. - Sherlock A. Licorish; Markus Wagner 007 (GECCO Companion, 2022)

Investigating Expectation Violations in Mobile Apps. - Sherlock A. Licorish; Helen E. Owen; Bastin Tony Roy Savarimuthu; Priyanka Patel (CoRR, 2022)

On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets. - Sherlock A. Licorish; Markus Wagner 007 (CoRR, 2022)

Prioritizing user concerns in app reviews - A study of requests for new features, enhancements and bug fixes. - Saurabh Malgaonkar; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (Inf. Softw. Technol., 2022)

Understanding students' software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed. - Sherlock A. Licorish; Matthias Galster; Georgia M. Kapitsaki; Amjed Tahir (J. Syst. Softw., 2022)

A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability. - Chathrie Wimalasooriya; Sherlock A. Licorish; Daniel Alencar da Costa; Stephen G. MacDonell (J. Syst. Softw., 2022)

Impact of individualism and collectivism cultural profiles on the behaviour of software developers: A study of stack overflow. - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (J. Syst. Softw., 2022)

Automatically generating taxonomy for grouping app reviews - a study of three apps. - Saurabh Malgaonkar; Sherlock A. Licorish; Bastin Tony Roy Savarimuthu (Softw. Qual. J., 2022)

What Makes Agile Software Development Agile? - Marco Kuhrmann; Paolo Tell; Regina Hebig; Jil Klünder; Jürgen Münch; Oliver Linssen; Dietmar Pfahl; Michael Felderer; Christian R. Prause; Stephen G. MacDonell; Joyce Nakatumba-Nabende; David Raffo; et al. (IEEE Trans. Software Eng., 2022)

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. - Fathima Nuzla Ismail; Abira Sengupta; Brendon J. Woodford; Sherlock A. Licorish (AusDM, 2023)

Decolonising Computer Science Education - A Global Perspective. - Mawera Karetai; Samuel Mann; Dhammika Dave Guruge; Sherlock A. Licorish; Alison Clear (SIGCSE (1), 2023)

Social Dreaming Together - Envisioning Decolonised Computer Science Education. - Mawera Karetai; Samuel Mann; Dhammika Dave Guruge; Sherlock A. Licorish; Alison Clear (SIGCSE (2), 2023)

How have views on Software Quality differed over time? Research and practice viewpoints. - Ifeanyi G. Ndukwe; Sherlock A. Licorish; Amjed Tahir; Stephen G. MacDonell (J. Syst. Softw., 2023)

Perceptions on the Utility of Community Question and Answer Websites Like Stack Overflow to Software Developers. - Ifeanyi G. Ndukwe; Sherlock A. Licorish; Stephen G. MacDonell (IEEE Trans. Software Eng., 2023)

Studying the characteristics of SQL-related development tasks: An empirical study. - Daniel Alencar da Costa; Natalie Grattan; Nigel Stanger; Sherlock A. Licorish (Empir. Softw. Eng., 2023)

Secondary studies on human aspects in software engineering: A tertiary study. - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (J. Syst. Softw., 2023)

Optimizing LLMs for Code Generation: Which Hyperparameter Settings Yield the Best Results? - Chetan Arora 002; Ahnaf Ibn Sayeed; Sherlock A. Licorish; Fanyu Wang; Christoph Treude (APSEC, 2024)

Optimizing Large Language Model Hyperparameters for Code Generation. - Chetan Arora 002; Ahnaf Ibn Sayeed; Sherlock A. Licorish; Fanyu Wang; Christoph Treude (CoRR, 2024)

Relating team atmosphere and group dynamics to student software development teams' performance. - Sherlock A. Licorish; Daniel Alencar da Costa; Elijah Zolduoarrati; Natalie Grattan (Inf. Softw. Technol., 2024)

Improving transfer learning for software cross-project defect prediction. - Osayande P. Omondiagbe; Sherlock A. Licorish; Stephen G. MacDonell (Appl. Intell., 2024)

Just-in-Time crash prediction for mobile apps. - Chathrie Wimalasooriya; Sherlock A. Licorish; Daniel Alencar da Costa; Stephen G. MacDonell (Empir. Softw. Eng., 2024)

Harmonising Contributions: Exploring Diversity in Software Engineering through CQA Mining on Stack Overflow. - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (ACM Trans. Softw. Eng. Methodol., 2024)

A cross-continental analysis of how regional cues shape top stack overflow contributors. - Elijah Zolduoarrati; Sherlock A. Licorish; John C. Grundy (J. Syst. Softw., 2025)

Stack overflow's hidden nuances: How does zip code define user contribution? - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (J. Syst. Softw., 2025)

Understanding Regression Models on Stack Overflow Code: GBM Returns the Best Prediction Performance among Regression Techniques. - Sherlock A. Licorish; Brendon J. Woodford; Lakmal Kiyaduwa Vithanage; Osayande P. Omondiagbe (J. Softw., 2025)

Comparing Human and LLM Generated Code: The Jury is Still Out! - Sherlock A. Licorish; Ansh Bajpai; Chetan Arora 002; Fanyu Wang; Chakkrit Tantithamthavorn (CoRR, 2025)

Understanding the Effect of Agile Practice Quality on Software Product Quality. - Sherlock A. Licorish (IEEE Trans. Software Eng., 2025)

GBM Returns the Best Prediction Performance among Regression Approaches: A Case Study of Stack Overflow Code Quality. - Sherlock A. Licorish; Brendon J. Woodford; Lakmal Kiyaduwa Vithanage; Osayande P. Omondiagbe (CoRR, 2025)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow. - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (CoRR, 2025)

Comprehensive predictive analytics for collaborators' answers, code quality, and dropout: stack overflow case study. - Elijah Zolduoarrati; Sherlock A. Licorish; Nigel Stanger (Empir. Softw. Eng., 2025)