2026

  1. Why Are AI Agent–Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study
    Alam, K and Mondal, S and Roy, B. (2026). Why Are AI Agent–Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study. In Proceedings of the 23rd International Mining Software Repositories Conference (MSR 2026) Mining Challenge Track. (5 pages). (2026)
  2. An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests
    Cynthia, ST and Muttakin, A and Roy, B. (2026). An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests. In Proceedings of the 23rd International Mining Software Repositories Conference (MSR 2026) Mining Challenge Track. (5 pages). (2026)
  3. Analyzing GitHub Issues and Pull Requests in nf-core Pipelines:  Insights into nf-core Pipeline Repositories
    Alam, K and Roy, B. (2026). Analyzing GitHub Issues and Pull Requests in nf-core Pipelines:  Insights into nf-core Pipeline Repositories. In Proceedings of the 23rd International Mining Software Repositories Conference (MSR 2026). (2026)
  4. Are We All Using Agents Now? An Empirical Study of Core and Peripheral Developers’ Use of Coding Agents
    Cynthia, ST and Das, JK and Roy, B. (2026). Are We All Using Agents Now? An Empirical Study of Core and Peripheral Developers’ Use of Coding Agents. In Proceedings of the 23rd International Mining Software Repositories Conference (MSR 2026). (2026)
  5. Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
    Alam, AI and Roy, PR and Roy, CK and Roy, B and Schneider, KA. (2026). Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models. In The ACM International Conference on the Foundations of Software Engineering (FSE 2026). (2026)
  6. What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub.
    Alam, K and Roy, B. (2026). What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub. 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026). (2026)
  7. Xmentor: A rank-aware aggregation approach for human-centered explainable ai in just-in-time software defect prediction
    Roy, S and Roy, B and Roy, CK and Basey, R. (2026). Xmentor: A rank-aware aggregation approach for human-centered explainable ai in just-in-time software defect prediction. In The 3rd ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2026) in International Conference on Software Engineering (ICSE 2026). (2026)

    8. 2025

  8. Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
    Nadim, M and Hassan, M and Mandal, AK and Roy, CK and Roy, B and Schneider, KA. (2025). Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study. Quantum Machine Intelligence. 7: 32.
  9. An empirical investigation on the challenges in scientific workflow systems development
    Alam, K and Roy, B and Roy, CK and Mittal, K. (2025). An empirical investigation on the challenges in scientific workflow systems development. Empirical Software Engineering, 30(5), 151.
  10. Feature transformation for improved software bug detection and commit classification
    Mostafa, S and Cynthia, ST and Roy, B and Mondal, D. (2025). Feature transformation for improved software bug detection and commit classification. Journal of Systems and Software. 219: 112205 (1-20).
  11. FSECAM: A contextual thematic approach for linking feature to multi-level software architectural components
    Mondal, AK and Hossain, MM and Roy, CK and Roy, B and Schneider, KA. (2025). FSECAM: A contextual thematic approach for linking feature to multi-level software architectural components. Journal of Systems and Software. 219: 112205 (1-20).
  12. Quantum software engineering and potential of quantum computing in software engineering research: a review
    Mondal, AK and Nadim, M and Roy, CK and Roy, B and Schneider, KA. (2025). Quantum software engineering and potential of quantum computing in software engineering research: a review. Journal of Systems and Software. 219: 112205 (1-20).
  13. Are Classical Clone Detectors Good Enough for the AI Era?
    Alam, AI and Roy, PR and Al-omari, F and Roy, CK and Roy, B and Schneider, KA. (2025). Are Classical Clone Detectors Good Enough for the AI Era?. Proceedings of the 41st IEEE International Conference onSoftware Maintenance and Evolution (ICSME 2025) (2025).
  14. From Questions to Insights: Exploring XAI challenges reported on stack overflow questions
    Roy, S and Mondal, S and Roy, B and Roy, CK. (2025). From Questions to Insights: Exploring XAI challenges reported on stack overflow questions. In 29th international conference on evaluation and assessment in software engineering (EASE 2025).
  15. How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
    Cynthia, ST and Almarimi, N and Roy, B. “How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?.” 19th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (2025).
  16. An empirical study on the impact of gender diversity on code quality in AI systems
    Cynthia, ST and and Roy, B. “An empirical study on the impact of gender diversity on code quality in AI systems.” Proceedings of the SIGSOFT FSE Companion the 1st Workshop on Human-Centered AI for SE 2025 (HumanAISE 2025), pp. 1540-1549. 2025.
  17. Gender Disparities in Contributions, Leadership, and Collaboration: An Exploratory Study on Software Systems Research
    Cynthia, ST and Mondal, S. and Das, JK and Roy, B. “Gender Disparities in Contributions, Leadership, and Collaboration: An Exploratory Study on Software Systems Research.” In 2025 IEEE/ACM Sixth Workshop on Gender Equality, Diversity, and Inclusion in Software Engineering (GEICSE), pp. 25-32. IEEE, 2025.
  18. Identification and Optimization of Redundant Code Using Large Language Models.
    Cynthia, Shamse Tasnim. “Identification and Optimization of Redundant Code Using Large Language Models.” In 2025 IEEE/ACM 4th International Conference on AI Engineering–Software Engineering for AI (CAIN), pp. 261-263. IEEE, 2025.
  19. Establishing Traceability between Release Notes & Software Artifacts: Practitioners’ Perspectives
    Nath, SS and Roy, B and Jahan, M. (2025). Establishing Traceability between Release Notes & Software Artifacts: Practitioners’ Perspectives. Proceedings of the 35th IEEE International Conference onCollaborative Advances in Software and Computing (CASCON 2025), (2025).
  20. Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding
    Billah, MM and Rahman, MS and Roy, B. (2025). Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding. Proceedings of the 29th InternationalConference on Evaluation and Assessment in Software Engineering (EASE 2025), (2025).
  21. A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0
    Hossain, MM and Roy, B and Roy, CK and Schneider, KA. (2025). A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0. Proceedings of the Software Engineering in Society (SEIS) track of the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), (2025).

    22. 2024

  22. Reproducibility of issues reported in stack overflow questions: Challenges, impact & estimation
    Mondal, S and Roy, B. (2024). Reproducibility of issues reported in stack overflow questions: Challenges, impact & estimation. Journal of Systems & Software, 40 pp, July 2024.
  23. Practitioners’ expectations on automated release note generation techniques
    Nath, SS and Roy, B. (2024). Practitioners’ Expectations on Automated Release Notes Generation Techniques. Journal of Software: Evolution and Process 36.8 (2024): e2657. (2024)
  24. Are Large Language Models a Threat to Programming Platforms? An Exploratory Study
    Billah, MM and Roy, P and Codabux, Z and Roy, B. (2024). Are Large Language Models a Threat to Programming Platforms? An Exploratory Study in Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2024), 12pp., 2024.
  25. Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based
    Jahan, M and Hassan, MM and Golpayegani, R and Ranjbaran, G and Roy, CK and Roy, B and Schneider, KA. (2024). Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach, in Proceedings of the ACM / IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS 2024), 11pp., 2024
  26. Just-in-Time and Real-Time Bug-Inducing Commit Prediction Using a Federated Learning Approach
    Islam, MR and Roy, B and Hassan, M and Nikanjam, A. (2024). Just-in-Time and Real-Time Bug-Inducing Commit Prediction Using a Federated Learning Approach. In Proceedings of the 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON). (2024)
  27. Take Loads Off Your Developers: Automated User Story Generation using Large Language Model
    Rahman, T and Zhu, Y and Maha, L and Roy, CK and Roy, B and Schneider, KA. (2024). Take Loads Off Your Developers: Automated User Story Generation using Large Language Model. In Proceedings of the 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). (2024)
  28. AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
    Bappon, SD and Mondal, S and Roy, B. (2024). AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM. In Proceedings of the 2024 IEEE International Conference on Source Code Analysis and Manipulation (SCAM). (2024)
  29. Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
    Mandal, AK and Nadim, M and Roy, CK and Roy, B and Schneider, KA. (2024). Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction. In Proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). (2024)
  30. Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems
    Hossain, MM and Roy, B and Roy, CK and Schneider, KA. (2024). Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14687. Springer, Cham. (2024)
  31. Recovering Traceability Links between Release Notes and Related Software Artifacts
    Nath, SS and Roy, B. (2024). Recovering Traceability Links between Release Notes and Related Software Artifacts. Companion Proceedings of the Poster Track of the 46th International Conference on Software Engineering (ICSE 2024). (2024)

    32. 2023

  32. Utilizing source code syntax patterns to detect bug inducing commits using machine learning models
    Nadim, M and Roy, B. (2023). Utilizing source code syntax patterns to detect bug inducing commits using machine learning models. Software Quality Journal 31.3. 2023
  33. Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
    Roy, PR and Alam, AI and Roy, CK and Roy, B and Schneider, KA. (2023). Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones. 17th International Workshop on Software Clones (IWSC 2023), 2023
  34. Reusability Challenges of Scientific Workflows: A Case Study for Galaxy
    Alam, K and Roy, B and Serebrenik, A. (2023). Reusability Challenges of Scientific Workflows: A Case Study for Galaxy. 30th Asia-Pacific Software Engineering Conference (APSEC 2023), 2023
  35. GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
    Alam, AI and Roy, PR and Al-omari, F and Roy, CK and Roy, B and Schneider, KA (2023). GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench. 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME). 2023
  36. Extensibility Challenges of Scientific Workflow Management Systems
    Hossain, MM and Roy, B and Roy, CK and Schneider, KA. (2023). Extensibility Challenges of Scientific Workflow Management Systems. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. 2023

    37. 2022

  37. Challenges of Provenance in Scientific Workflow Management Systems
    Alam, K and Roy, B. (2022). Challenges of Provenance in Scientific Workflow Management Systems. 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pp. 10-18. 2022
  38. Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows
    Abhinit, I and Adams, EK and Alam, K and Chase, B and Deelman, E and Gorenstein, L and … and Filgueira, R. (2022, November). Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS) (pp. 84-92). IEEE.
  39. Why Don’t XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions
    Roy, S and Laberge, G and Roy, B and Khomh, F and Nikanjam, A and Mondal, S. (2022). Why Don’t XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions. In 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 444-448). IEEE.
  40. A survey of software architectural change detection and categorization techniques
    Mondal, AK and Schneider, KA and Roy, B and Roy, CK. (2022). A survey of software architectural change detection and categorization techniques. Journal of Systems and Software, 194, 111505.
  41. A Domain-Specific Composition Environment for Provenance Query of Scientific Workflows
    Hossain, MM and Roy, B and Roy, CK and Schneider, KA. (2022). A Domain-Specific Composition Environment for Provenance Query of Scientific Workflows. In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS) (pp. 19-26). IEEE.
  42. Facilitating Asynchronous Collaboration in Scientific Workflow Composition Using Provenance
    AbediniAla, M. and Roy, B. (2022). Facilitating Asynchronous Collaboration in Scientific Workflow Composition Using Provenance. Proceedings of the ACM on Human-Computer Interaction, 6(EICS), 1-26.
  43. Supporting program comprehension by generating abstract code summary tree
    Bhattacharjee, A and Roy, B and Schneider, KA. (2022, May). Supporting program comprehension by generating abstract code summary tree. In Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results (pp. 81-85).
  44. Mining software information sites to recommend cross-language analogical libraries
    Nafi, KW and Asaduzzaman, M and Roy, B and Roy, CK and Schneider, KA. (2022). Mining software information sites to recommend cross-language analogical libraries. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 913-924). IEEE.
  45. Exploring Relevant Artifacts of Release Notes: The Practitioners’ Perspective
    Nath, SS and Roy, B. (2022). Exploring Relevant Artifacts of Release Notes: The Practitioners’ Perspective. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 1270-1277). IEEE.
  46. Supporting Readability by Comprehending the Hierarchical Abstraction of a Software Project
    Bhattacharjee, A and Roy, B and Schneider, KA. (2022). Supporting Readability by Comprehending the Hierarchical Abstraction of a Software Project. In 15th Innovations in Software Engineering Conference (pp. 1-10).
  47. Commit-Checker: A human-centric approach for adopting bug inducing commit detection using machine learning models
    Oishie, NZZ and Roy, B. (2022). Commit-Checker: A human-centric approach for adopting bug inducing commit detection using machine learning models. In 15th Innovations in Software Engineering Conference (pp. 1-3).
  48. Feature transformation for improved software bug detection models
    Cynthia, ST and Roy, B and Mondal, D. (2022). Feature transformation for improved software bug detection models. In 15th Innovations in Software Engineering Conference (pp. 1-10).
  49. Reproducibility Challenges and Their Impacts on Technical Q&A Websites: The Practitioners’ Perspectives
    Mondal, S and Roy, B. (2022). Reproducibility Challenges and Their Impacts on Technical Q&A Websites: The Practitioners’ Perspectives. In 15th innovations in software engineering conference (pp. 1-11).

    50. 2021

  50. Large Scale Image Registration Utilizing Data-Tunneling in the MapReduce Cluster
    Kumar, AM and Roy, B and Roy, CK and Schneider, KA. (2021). Large Scale Image Registration Utilizing Data-Tunneling in the MapReduce Cluster. In Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021 (pp. 167-180). Springer Singapore.
  51. Automatically Generating Release Notes with Content Classification Models
    Nath, SS and Roy, B. (2021). Automatically generating release notes with content classification models. International Journal of Software Engineering and Knowledge Engineering, 31(11n12), 1721-1740.
  52. Semantic slicing of architectural change commits: Towards semantic design review
    Mondal, AK and Roy, CK and Schneider, KA and Roy, B and Nath, SS. (2021). Semantic slicing of architectural change commits: Towards semantic design review. In Proceedings of the 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (pp. 1-6).
  53. Designing for recommending intermediate states in a scientific workflow management system
    Chakroborti, D and Roy, B and Nath, SS. (2021). Designing for recommending intermediate states in a scientific workflow management system. Proceedings of the ACM on Human-Computer Interaction, 5(EICS), 1-29.
  54. FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates
    Mondal, M and Roy, CK and Roy, B and Schneider, KA. (2021). FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates. In 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) (pp. 160-171). IEEE.
  55. A Testing Approach While Re-engineering Legacy Systems: An Industrial Case Study
    Khodabandehloo, H and Roy, B and Mondal, M and Roy, CK and Schneider, KA. (2021). A Testing Approach While Re-engineering Legacy Systems: An Industrial Case Study. In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 600-604). IEEE.
  56. ID-correspondence: a measure for detecting evolutionary coupling
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2021). ID-correspondence: a measure for detecting evolutionary coupling. Empirical Software Engineering, 26, 1-34.
  57. Towards automatically generating release notes using extractive summarization technique
    Nath, S. S., & Roy, B. (2022). Towards automatically generating release notes using extractive summarization technique. Proceedings of the 33rd International Conference on Software Engineering &Knowledge Engineering (SEKE 2021). 2021
  58. ArchiNet: A Concept-token based Approach for Determining Architectural Change Categories
    Mondal, AK and Roy, B and Nath, SS and Schneider, KA. (2021). ArchiNet: A Concept-token based Approach for Determining Architectural Change Categories. Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021). 2021

    59. 2020

  59. VizSciFlow: A Visually Guided Scripting Framework for Supporting Complex Scientific Data Analysis
    Hossain MM and Roy B and Roy CK and Schneider KA. (2020). VizSciFlow: A Visually Guided Scripting Framework for Supporting Complex Scientific Data Analysis. Journal Proceedings of the ACM on Human-Computer Interaction (EICS 2020).
  60. An Exploratory Study to Find Motives Behind Cross-platform Forks from Software Heritage Dataset
    Bhattacharjee, A and Nath, SS and Zhou, S and Chakroborti, D and Roy, B and Roy, CK and Schneider, KA. (2020). An Exploratory Study to Find Motives Behind Cross-platform Forks from Software Heritage Dataset. Data challenge paper at the International Conference on Mining Software Repositories (MSR), 2020.
  61. The Nutrient App: Developing a smartphone application for on-site instantaneous community-based NO3 and PO4 monitoring
    Costa, D and Aziz, U and Elliott, J and Baulch, H and Roy, B and Schneider, KA and Pomeroy, J. (2020). The Nutrient App: Developing a smartphone application for on-site instantaneous community-based NO3 and PO4 monitoring. Environmental Modelling & Software, 133, 104829.
  62. Investigating near-miss micro-clones in evolving software
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2020). Investigating near-miss micro-clones in evolving software. In Proceedings of the 28th International Conference on Program Comprehension (pp. 208-218).
  63. Investigating near-miss micro-clones in evolving software
    Mostaeen, G and Roy, B and Roy, CK and Schneider, KA and Svajlenko, J. (2020). A machine learning based framework for code clone validation. Journal of Systems and Software 169: 1-19 (2020)
  64. A universal cross language software similarity detector for open source software categorization
    Nafi, KW and Roy, B and Roy, CK and Schneider, KA. (2020). A universal cross language software similarity detector for open source software categorization. Journal of Systems and Software, 162, 110491.
  65. HistoRank: History-Based Ranking of Co-change Candidates
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2020). HistoRank: History-Based Ranking of Co-change Candidates. In 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 240-250). IEEE.
  66. Associating Code Clones with Association Rules for Change Impact Analysis
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2020). Associating code clones with association rules for change impact analysis. In 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 93-103). IEEE.

    67. 2019

  67. A Data Management Scheme for Micro-Level Modular Computation-Intensive Programs in Big Data Platforms
    Chakroborti, D and Roy, B and Mondal, A and Mostaeen, G and Roy, CK and Schneider, KA and Deters, R. (2019). A Data Management Scheme for Micro-Level Modular Computation-Intensive Programs in Big Data Platforms. Data Management and Analysis: Case Studies in Education, Healthcare and Beyond, 135-153.
  68. Workflow Provenance for Big Data: From Modelling to Reporting
    Ferdous, R and Roy, B and Roy, CK and Schneider, KA. (2020). Workflow provenance for big data: from modelling to reporting. Data Management and Analysis: Case Studies in Education, Healthcare and Beyond, 185-200
  69. Designing for Real-Time Groupware Systems to Support Complex Scientific Data Analysis
    Mostaeen, G and Roy, B and Roy, CK and Schneider, KA. (2019). Designing for Real-Time Groupware Systems to Support Complex Scientific Data Analysis. Journal Proceedings of the ACM on Human-Computer Interaction. 3(EICS): 9:1–9:28.
  70. Investigating Context Adaptation Bugs in Code Clones
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2019). Investigating Context Adaptation Bugs in Code Clones. 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 157- 168. 2019
  71. An Exploratory Study on Automatic Architectural Change Analysis Using Natural Language Processing Techniques
    Mondal, A and Roy, B and Schneider, KA. (2019). An Exploratory Study on Automatic Architectural Change Analysis Using Natural Language Processing Techniques. 2019 19th International Working Conference on Source Code Analysis and Manipulation (SCAM), pp. 62-73. 2019
  72. CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
    Nafi, KW and Kar, TS and Roy, B and Roy, CK and Schneider, KA. (2019). CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation. 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1026-1037. 2019
  73. CloneCognition: machine learning based code clone validation tool
    Mostaeen, G and Svajlenko, J and Roy, B and Roy, CK and Schneider, KA. (2019). CloneCognition: Machine Learning Based Code Clone Validation Tool. Proc. of the Tool Demonstration Track of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019), (1105-1109)
  74. An empirical study on bug propagation through code cloning
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2019). An empirical study on bug propagation through code cloning. Journal of Systems and Software 158 (2019): 110407
  75. Investigating the relationship between evolutionary coupling and software bug-proneness
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2019). Investigating the relationship between evolutionary coupling and software bug-proneness. Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering. 2019.
  76. Ranking co-change candidates of micro-clones
    Mondal, M and Roy, B and Roy, CK and Schneider, KA. (2019). Ranking co-change candidates of micro-clones. Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering. 2019.
  77. Automatic Components Separation of Obfuscated Android Applications: An Empirical Study of Design Based Features
    Mondal, AK and Roy, CK and Roy, B and Schneider, KA. (2019). Automatic Components Separation of Obfuscated Android Applications: An Empirical Study of Design Based Features. Proceedings of the 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW) 2019.

    78. 2018

  78. Fine-Grained Attribute Level Locking Scheme for Collaborative Scientific Workflow Development
    Golam M., Roy, B., Roy, C. K. and Schneider, K. A. (2018) Fine-Grained Attribute Level Locking Scheme for Collaborative Scientific Workflow Development (2018). In Proc. of IEEE Conference on Service Computing (SCC’18), 5pp
  79. A Spark API for Efficiently Handling and Processing Large Collection of Images for Phenotyping with Big Data Cluster
    Mondal A. K., Roy, B., Roy C. K., Schneider, K. A. (2018). A Spark API for Efficiently Handling and Processing Large Collection of Images for Phenotyping with Big Data Cluster. Poster presented at Global Institute of Food Security (GIFS) Emerging Conference (GIFSEC’18), University of Saskatchewan.
  80. CroPSim: Cross Platform Software Similarity Detector using API documentation
    Wazed., K., Roy, B., Roy, C. K. and Schneider K. A. (2018). CroPSim: Cross Platform Software Similarity Detector using API documentation. In Proc. of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2018), pp. 139-148.
  81. On the Use of Machine Learning Techniques Towards the Design of Cloud Based Automatic Code Clone Validation Tools
    Golam M., Svajlenko, J., Roy, B., Roy, C. K. and Schneider K. A. (2018). On the Use of Machine Learning Techniques Towards the Design of Automatic Code Clone Validation Tools. In Proc. of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2018), 10pp.
  82. Detecting Evolutionary Coupling Using Transitive Association Rules
    Islam, A., Islam, M., Mondal, M., Roy, B., Roy, C., and Schneider, K.A. (2018) Detecting Evolutionary Coupling Using Transitive Association Rules. In Proc. of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2018), 10pp.

    83. 2017

  83. Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks
    Roy, B., Mondal, A. K., Roy, C. K., Schneider, K. A., and Wazed K. (2017) Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks. In Proc. Of The 2017 International Conference on Software Architecture (ICSA’17), pp. 41-50.
  84. A Rule Based Approach for Provenance in the Domain of Plant Phenotyping and Genotyping
    Fredous, R., Roy, B., Roy, C. K. and Schneider, K. A. (2017). A Rule Based Approach for Provenance in the Domain of Plant Phenotyping and Genotyping. Poster presented at P2IRC Symposium (P2IRC’17), University of Saskatchewan.
  85. PhenoWL: A Declarative Language for Phenotype Workflow Modeling
    Hossain, M. M., Roy, B., Roy, C. K. and Schneider, K. A. (2017) PhenoWL: A Declarative Language for Phenotype Workflow Modeling. Poster presented at P2IRC Symposium (P2IRC’17), University of Saskatchewan.
  86. An Information Retrieval Based Approach for Managing Tools and Workflows for P2IRC
    Wazed., K., Roy, B., Roy, C. K. and Schneider, K. A. (2017) An Information Retrieval Based Approach for Managing Tools and Workflows for P2IRC. Poster presented at P2IRC Symposium (P2IRC’17), University of Saskatchewan.
  87. A Framework for Collaboratively Building on-the-fly Scientific Workflow for Plant Phenotyping and Genotyping
    Golam M., Roy, B., Roy, C. K. and Schneider, K. A. (2017) A Framework for Collaboratively Building on-the-fly Scientific Workflow for Plant Phenotyping and Genotyping. Poster presented at P2IRC Symposium (P2IRC’17), University of Saskatchewan.
  88. A Plugin-based Framework for Building Distributed Highthroughput Image Processing Pipelines for Plant Phenotyping
    Mondal A. K., Roy, B., Roy C. K., Schneider, K. A. (2017) A Plugin-based Framework for Building Distributed Highthroughput Image Processing Pipelines for Plant Phenotyping. Poster presented at P2IRC Symposium (P2IRC’17), University of Saskatchewan.

    89. 2016

  89. Recommendation of Features and Architecture of Big Data Processing System Considering the Challenges and Customer Demands of plant Phenotyping
    Mondal A. K., Roy, B., Roy C. K., Schneider, K. A. (2016) Recommendation of Features and Architecture of Big Data Processing System Considering the Challenges and Customer Demands of plant Phenotyping. Poster presented at P2IRC Symposium, University of Saskatchewan.

    90. 2013

  90. Handling Disconnection in Synchronous Groupware.
    Roy, B., Graham, T.C.N., and Gutwin, C. (2013) Handling Disconnection in Synchronous Groupware. PhD Thesis, School of Computing, Queen’s University (http://qspace.library.queensu.ca/handle/1974/7982), 213 pp.

    91. 2012

  91. DiscoTech: A Plug-In Toolkit to Improve Handling of Disconnection and Reconnection in Real-Time Groupware
    Roy, B., Graham, T.C.N, Gutwin, C. (2012) DiscoTech: A Plug-In Toolkit to Improve Handling of Disconnection and Reconnection in Real-Time Groupware. In Proc. of Computer Supported Collaborative Work (CSCW) 2012, ACM, pp. 1287-1296. (Won the honorary mention award).
  92. Methods for Evaluating Software Architecture: A Survey
    Roy, B. and Graham, T.C.N. (2008) Methods for Evaluating Software Architecture: A Survey, School of Computing TR 2008-545, Queen’s University, 82 pp.
  93. Fiia: user-centered development of adaptive groupware systems
    Wolfe, C, Graham, T.C. N., Phillips, W. G., and Roy, B. (2008) Fiia: User-Centered Development of Adaptive Groupware Systems. In Proc of the SIGCHI Symposium on Engineering Interactive Computing Systems, ACM, pp. 275-284.
  94. An Iterative Framework for Software Architecture Recovery: An Experience Report
    Roy, B. and Graham, T.C.N. An Iterative Framework for Software Architecture Recovery: An Experience Report. In Proc of the 2nd European Conference on Software Architecture (ECSA’08), LNCS Springer, pp 210-224.