Shane McIntosh

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 93

Top Venues

MSR

IEEE Trans. Software Eng.

Empir. Softw. Eng.

CoRR

Queen's University at Kingston, Ontario, Canada (PHD)

Education History

Queen's University at Kingston, Ontario, Canada

PHD

Publications

Nimmi Rashinika Weeraddana, Mahmoud Alfadel, Shane McIntosh
Dependency-Induced Waste in Continuous Integration: An Empirical Study of Unused Dependencies in the npm Ecosystem. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Xueyao Yu, Filipe R. Cogo, Shane McIntosh, Michael W. Godfrey
Studying the impact of risk assessment analytics on risk awareness and code review performance. Empir. Softw. Eng. 29 (2) (2024)
Wenhan Zhu, Sebastian Proksch, Daniel M. Germán, Michael W. Godfrey, Li Li, Shane McIntosh
What is an app store? The software engineering perspective. Empir. Softw. Eng. 29 (1) (2024)
Nimmi Rashinika Weeraddana, Mahmoud Alfadel, Shane McIntosh
Characterizing Timeout Builds in Continuous Integration. IEEE Trans. Software Eng. 50 (6) (2024)
Shane McIntosh
Mining Our Way Back to Incremental Builds for DevOps Pipelines. MSR (2024)
Mahmoud Alfadel, Shane McIntosh
The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology. ICSE (2024)
Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi
TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. SANER (2024)
Partha Chakraborty, Krishna Kanth Arumugam, Mahmoud Alfadel, Meiyappan Nagappan, Shane McIntosh
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets. CoRR (2024)
Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, Shane McIntosh
A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase. MSR (2024)
Partha Chakraborty, Krishna Kanth Arumugam, Mahmoud Alfadel, Meiyappan Nagappan, Shane McIntosh
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets. IEEE Trans. Software Eng. 50 (8) (2024)
Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto
Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems. CoRR (2024)
Farshad Kazemi, Maxime Lamothe, Shane McIntosh
Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations. IEEE Trans. Software Eng. 50 (8) (2024)
Gengyi Sun, Mehran Meidani, Sarra Habchi, Mathieu Nayrolles, Shane McIntosh
Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact. ICSE-SEIP (2024)
Noble Saji Mathews, Yelizaveta Brus, Yousra Aafer, Meiyappan Nagappan, Shane McIntosh
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection. CoRR (2024)
Pei Liu, Li Li, Kui Liu, Shane McIntosh, John C. Grundy
Understanding the quality and evolution of Android app build systems. J. Softw. Evol. Process. 36 (5) (2024)
Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto
Quantifying and characterizing clones of self-admitted technical debt in build systems. Empir. Softw. Eng. 29 (2) (2024)
Gengyi Sun, Sarra Habchi, Shane McIntosh
RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Wenhan Zhu, Sebastian Proksch, Daniel M. Germán, Michael W. Godfrey, Li Li, Shane McIntosh
What Is an App Store? The Software Engineering Perspective. CoRR (2024)
Faizan Khan, Istvan David, Dániel Varró, Shane McIntosh
Code Cloning in Smart Contracts on the Ethereum Platform: An Extended Replication Study. IEEE Trans. Software Eng. 49 (4) (2023)
Mahtab Nejati, Mahmoud Alfadel, Shane McIntosh
Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions. ICSE (2023)
Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community. CoRR (2023)
Mehran Meidani, Maxime Lamothe, Shane McIntosh
Assessing the exposure of software changes. Empir. Softw. Eng. 28 (2) (2023)
Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community. ASE (2023)
Nimmi Rashinika Weeraddana, Xiaoyan Xu, Mahmoud Alfadel, Shane McIntosh, Meiyappan Nagappan
An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects. Empir. Softw. Eng. 28 (6) (2023)
Christophe Rezk, Yasutaka Kamei, Shane McIntosh
The Ghost Commit Problem When Identifying Fix-Inducing Changes: An Empirical Study of Apache Projects. IEEE Trans. Software Eng. 48 (9) (2022)
Faizan Khan, Boqi Chen, Dániel Varró, Shane McIntosh
An Empirical Study of Type-Related Defects in Python Projects. IEEE Trans. Software Eng. 48 (8) (2022)
Ruiyin Wen, Maxime Lamothe, Shane McIntosh
How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC. ICSE (SEIP) (2022)
Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto
Code Reviews With Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities. IEEE Trans. Software Eng. 48 (2) (2022)
Keheliya Gallaba, John Ewart, Yves Junqueira, Shane McIntosh
Accelerating Continuous Integration by Caching Environments and Inferring Dependencies. IEEE Trans. Software Eng. 48 (6) (2022)
Keheliya Gallaba, Maxime Lamothe, Shane McIntosh
Lessons from Eight Years of Operational Data from a Continuous Integration Service: An Exploratory Case Study of CircleCI. ICSE (2022)
Shivashree Vysali, Shane McIntosh, Bram Adams
Quantifying, Characterizing, and Mitigating Flakily Covered Program Elements. IEEE Trans. Software Eng. 48 (3) (2022)
Farshad Kazemi, Maxime Lamothe, Shane McIntosh
Exploring the Notion of Risk in Code Reviewer Recommendation. ICSME (2022)
Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems. IEEE Trans. Software Eng. 48 (10) (2022)
Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto
Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities. CoRR (2021)
Bodin Chinthanet, Raula Gaikovina Kula, Shane McIntosh, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto
Lags in the release, adoption, and propagation of npm vulnerability fixes. Empir. Softw. Eng. 26 (3) (2021)
Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, Shane McIntosh
Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : A Case Study of the Gerrit Community. ASE (2021)
Mehran Meidani, Maxime Lamothe, Shane McIntosh
Assessing the Exposure of Software Changes: The DiPiDi Approach. CoRR (2021)
Christian Macho, Stefanie Beyer, Shane McIntosh, Martin Pinzger
The nature of build changes. Empir. Softw. Eng. 26 (3) (2021)
Farida Elzanaty, Christophe Rezk, Sander Lijbrink, Willem van Bergen, Mark Cote, Shane McIntosh
Automatic Recovery of Missing Issue Type Labels. IEEE Softw. 38 (3) (2021)
Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
Characterizing and Mitigating Self-Admitted Build Debt. CoRR (2021)
Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo
Leveraging Fault Localisation to Enhance Defect Prediction. SANER (2021)
Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering. Empir. Softw. Eng. 25 (2) (2020)
Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab, Shane McIntosh
Using Others' Tests to Identify Breaking Updates. MSR (2020)
Keheliya Gallaba, Shane McIntosh
Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI. IEEE Trans. Software Eng. 46 (1) (2020)
Younes Boubekeur, Gunter Mussbacher, Shane McIntosh
Automatic assessment of students' software models using a simple heuristic and machine learning. MoDELS (Companion) (2020)
Durham Abric, Oliver E. Clark, Matthew Caminiti, Keheliya Gallaba, Shane McIntosh
Can duplicate questions on stack overflow benefit the software development community? MSR (2019)
Puneet Kaur Sidhu, Gunter Mussbacher, Shane McIntosh
Reuse (or Lack Thereof) in Travis CI Specifications: An Empirical Study of CI Phases and Commands. SANER (2019)
Shane McIntosh, Yasutaka Kamei, Meiyappan Nagappan
Release Engineering for Mobile Applications (NII Shonan Meeting 152). NII Shonan Meet. Rep. 2019 (2019)
Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto
The review linkage graph for code review analytics: a recovery approach and empirical study. ESEC/SIGSOFT FSE (2019)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Automated Parameter Optimization on Defect Prediction Models. IEEE Trans. Software Eng. 45 (7) (2019)
Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, Hajimu Iida
Review participation in modern code review: An empirical study of the Android, Qt, and OpenStack projects (journal-first abstract). SANER (2018)
Keheliya Gallaba, Christian Macho, Martin Pinzger, Shane McIntosh
Noise and heterogeneity in historical build data: an empirical study of Travis CI. ASE (2018)
Daniel Alencar da Costa, Shane McIntosh, Uirá Kulesza, Ahmed E. Hassan, Surafel Lemma Abebe
An empirical study of the integration time of fixed issues. Empir. Softw. Eng. 23 (1) (2018)
Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio
Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. APSEC (2018)
Farida Elzanaty, Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto
An empirical study of design discussions in code review. ESEM (2018)
Ruiyin Wen, David Gilbert, Michael G. Roche, Shane McIntosh
BLIMP Tracer: Integrating Build Impact Analysis with Code Review. ICSME (2018)
Daniel Alencar da Costa, Shane McIntosh, Christoph Treude, Uirá Kulesza, Ahmed E. Hassan
The impact of rapid release cycles on the integration delay of fixed issues. Empir. Softw. Eng. 23 (2) (2018)
Shane McIntosh, Yasutaka Kamei
Are Fix-Inducing Changes a Moving Target? A Longitudinal Case Study of Just-In-Time Defect Prediction. IEEE Trans. Software Eng. 44 (5) (2018)
Noam Rabbani, Michael S. Harvey, Sadnan Saquif, Keheliya Gallaba, Shane McIntosh
Revisiting "programmers' build errors" in the visual studio context: a replication study using IDE interaction traces. MSR (2018)
Martin P. Robillard, Mathieu Nassif, Shane McIntosh
Threats of Aggregating Software Repository Data. ICSME (2018)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Automated Parameter Optimization on Defect Prediction Models. CoRR (2018)
Rahul Amlekar, Andrés Felipe Rincón Gamboa, Keheliya Gallaba, Shane McIntosh
Do software engineers use autocompletion features differently than other developers? MSR (2018)
Martin P. Robillard, Mathieu Nassif, Shane McIntosh
Replication Package for "Threats of Aggregating Software Repository Data". ICSME (2018)
Shane McIntosh, Yasutaka Kamei
Are fix-inducing changes a moving target?: a longitudinal case study of just-in-time defect prediction. ICSE (2018)
Christian Macho, Shane McIntosh, Martin Pinzger
Automatically repairing dependency-related build breakage. SANER (2018)
Feng Zhang, Ahmed E. Hassan, Shane McIntosh, Ying Zou
The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models. IEEE Trans. Software Eng. 43 (5) (2017)
Daniel Alencar da Costa, Shane McIntosh, Weiyi Shang, Uirá Kulesza, Roberta Coelho, Ahmed E. Hassan
A Framework for Evaluating the Results of the SZZ Approach for Identifying Bug-Introducing Changes. IEEE Trans. Software Eng. 43 (7) (2017)
Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan
A large-scale study of the impact of feature selection techniques on defect classification models. MSR (2017)
Cor-Paul Bezemer, Shane McIntosh, Bram Adams, Daniel M. Germán, Ahmed E. Hassan
An empirical study of unspecified dependencies in make-based build systems. Empir. Softw. Eng. 22 (6) (2017)
Marco Manglaviti, Eduardo Coronado-Montoya, Keheliya Gallaba, Shane McIntosh
An empirical study of the personnel overhead of continuous integration. MSR (2017)
Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, Hajimu Iida
Review participation in modern code review - An empirical study of the android, Qt, and OpenStack projects. Empir. Softw. Eng. 22 (2) (2017)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models. IEEE Trans. Software Eng. 43 (1) (2017)
Yash Gupta, Yusaira Khan, Keheliya Gallaba, Shane McIntosh
The impact of the adoption of continuous integration on developer attraction and retention. MSR (2017)
Qi Cao, Ruiyin Wen, Shane McIntosh
Forecasting the Duration of Incremental Build Jobs. ICSME (2017)
Christian Macho, Shane McIntosh, Martin Pinzger
Extracting Build Changes with BUILDDIFF. CoRR (2017)
Christian Macho, Shane McIntosh, Martin Pinzger
Extracting build changes with BuildDiff. MSR (2017)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
Comments on "Researcher bias: The use of machine learning in software defect prediction". PeerJ Prepr. 4 (2016)
Christian Macho, Shane McIntosh, Martin Pinzger
Predicting Build Co-changes with Source Code Change and Commit Categories. SANER (2016)
Keisuke Miura, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi
The Impact of Task Granularity on Co-evolution Analyses. ESEM (2016)
Junji Shimagaki, Yasutaka Kamei, Shane McIntosh, Ahmed E. Hassan, Naoyasu Ubayashi
A study of the quality-impacting practices of modern code review at Sony mobile. ICSE (Companion Volume) (2016)
Bram Adams, Shane McIntosh
Modern Release Engineering in a Nutshell - Why Researchers Should Care. FOSE@SANER (2016)
Daniel Alencar da Costa, Shane McIntosh, Uirá Kulesza, Ahmed E. Hassan
The impact of switching to a rapid release cycle on the integration delay of addressed issues: an empirical study of the mozilla firefox project. MSR (2016)
Jacob G. Barnett, Charles K. Gathuru, Luke S. Soldano, Shane McIntosh
The relationship between commit message detail and defect proneness in Java projects on GitHub. MSR (2016)
Junji Shimagaki, Yasutaka Kamei, Shane McIntosh, David Pursehouse, Naoyasu Ubayashi
Why are Commits Being Reverted?: A Comparative Study of Industrial and Open Source Projects. ICSME (2016)
Casimir Désarmeaux, Andrea Pecatikov, Shane McIntosh
The dispersion of build maintenance activity across maven lifecycle phases. MSR (2016)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction". IEEE Trans. Software Eng. 42 (11) (2016)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
Automated parameter optimization of classification techniques for defect prediction models. ICSE (2016)
Moritz Beller, Radjino Bholanath, Shane McIntosh, Andy Zaidman
Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software. SANER (2016)
Shane McIntosh, Bram Adams, Meiyappan Nagappan, Ahmed E. Hassan
Identifying and understanding header file hotspots in C/C++ build processes. Autom. Softw. Eng. 23 (4) (2016)
Shane McIntosh, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan
An empirical study of the impact of modern code review practices on software quality. Empir. Softw. Eng. 21 (5) (2016)
Kazuhiro Yamashita, Yasutaka Kamei, Shane McIntosh, Ahmed E. Hassan, Naoyasu Ubayashi
Magnet or Sticky? Measuring Project Characteristics from the Perspective of Developer Attraction and Retention. J. Inf. Process. 24 (2) (2016)
Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, Hajimu Iida
Revisiting code ownership and its relationship with software quality in the scope of modern code review. ICSE (2016)
Yasutaka Kamei, Takafumi Fukushima, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi, Ahmed E. Hassan
Studying just-in-time defect prediction using cross-project models. Empir. Softw. Eng. 21 (5) (2016)
Rodrigo Morales, Shane McIntosh, Foutse Khomh
Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects. SANER (2015)
Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan
Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models. ICSE (1) (2015)
Kazuhiro Yamashita, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi
Revisiting the applicability of the pareto principle to core development teams in open source software projects. IWPSE (2015)
Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, Hajimu Iida
Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System. MSR (2015)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
Comments on "Researcher bias: The use of machine learning in software defect prediction". PeerJ Prepr. 3 (2015)
Shane McIntosh, Meiyappan Nagappan, Bram Adams, Audris Mockus, Ahmed E. Hassan
A Large-Scale Empirical Study of the Relationship between Build Technology and Build Maintenance. Empir. Softw. Eng. 20 (6) (2015)
Xin Xia, David Lo, Shane McIntosh, Emad Shihab, Ahmed E. Hassan
Cross-project build co-change prediction. SANER (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shane McIntosh