Biography and Research Information
OverviewAI-generated summary
Kevin A. Schneider's research focuses on the application of artificial intelligence and machine learning techniques to address challenges in software engineering and medical imaging. He has explored the development of deep transfer learning models for segmenting colorectal cancer histopathology images, aiming to improve diagnostic accuracy. His work also investigates methods for enhancing model interpretability, such as the C-SHAP hybrid method, and benchmarks the performance of large language models like GPT-3 for tasks such as detecting semantic clones and generating user stories.
Further research by Schneider includes empirical studies on software development issues, such as the propagation of near-miss clones and the reproducibility of programming-related problems found in online forums like Stack Overflow. He has also investigated automated derivation of technical diagrams, like UML sequence diagrams, from user stories using both generative AI and rule-based approaches. Schneider's scholarly contributions are reflected in his h-index of 33 and over 218 publications, accumulating more than 3,900 citations. He is recognized as a highly cited researcher.
Metrics
- h-index: 33
- Publications: 217
- Citations: 4,004
Selected Publications
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A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 (2025)
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Quantum software engineering and potential of quantum computing in software engineering research: a review (2025)
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Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study (2025)
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Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review (2025)
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability (2025)
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Integrating Feedback From Application Reviews Into Software Development (2024)
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Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction (2024)
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Take Loads Off Your Developers: Automated User Story Generation using Large Language Model (2024)
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Review-Pulse: A Dashboard for Managing User Feedback for Android Applications (2024)
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Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach (2024)
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Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems (2024)
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A Study of Backporting Code in Open-Source Software for Characterizing Changesets (2024)
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ReBack: recommending backports in social coding environments (2024)
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Active Clones: Source Code Clones at Runtime (2024)
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Late Propagation in Near-Miss Clones: An Empirical Study (2024)
Collaboration Network
Top Collaborators
Chanchal K. Roy
University of Saskatchewan (CA)
41 shared publications
- C-SHAP: A Hybrid Method for Fast and Efficient Interpretability
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Late Propagation in Near-Miss Clones: An Empirical Study
- The reproducibility of programming-related issues in Stack Overflow questions
- Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach
Showing 5 of 41 shared publications
Banani Roy
University of Saskatchewan (CA)
27 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach
- Take Loads Off Your Developers: Automated User Story Generation using Large Language Model
- A survey of software architectural change detection and categorization techniques
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
Showing 5 of 27 shared publications
Manishankar Mondal
University of Saskatchewan (CA)
6 shared publications
- Late Propagation in Near-Miss Clones: An Empirical Study
- FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates
- Evaluating the performance of clone detection tools in detecting cloned co-change candidates
- ID-correspondence: a measure for detecting evolutionary coupling
- A Testing Approach While Re-engineering Legacy Systems: An Industrial Case Study
Showing 5 of 6 shared publications
Debasish Chakroborti
University of Saskatchewan (CA)
6 shared publications
- Backports
- How does quality deviate in stable releases by backporting?
- ReBack: recommending backports in social coding environments
- Release conventions of open‐source software: An exploratory study
- Backport Dataset
Showing 5 of 6 shared publications
Ajmain Inqiad Alam
University of Saskatchewan (CA)
6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
Palash Ranjan Roy
University of Saskatchewan (CA)
6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
Farouq Al-omari
University of Saskatchewan (CA)
6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
Amit Kumar Mondal
University of Saskatchewan (CA)
5 shared publications
- A survey of software architectural change detection and categorization techniques
- Semantic Slicing of Architectural Change Commits
- A Survey of Software Architectural Change Detection and Categorization Techniques
- Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review
- Large Scale Image Registration Utilizing Data-Tunneling in the MapReduce Cluster
Md Nadim
University of Saskatchewan (CA)
5 shared publications
- Quantum software engineering and potential of quantum computing in software engineering research: a review
- Evaluating the performance of clone detection tools in detecting cloned co-change candidates
- Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
- Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
- Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
Ashis Kumar Mandal
University of Saskatchewan (CA)
4 shared publications
- Quantum software engineering and potential of quantum computing in software engineering research: a review
- Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
- Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
- Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
Sristy Sumana Nath
University of Saskatchewan (CA)
3 shared publications
- Semantic Slicing of Architectural Change Commits
- Release conventions of open‐source software: An exploratory study
- Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review
Debajyoti Mondal
University of Saskatchewan (CA)
3 shared publications
- Putting Table Cartograms into Practice
- ContourDiff: Revealing Differential Trends in Spatiotemporal Data
- SET-STAT-MAP: Extending Parallel Sets for Visualizing Mixed Data
Avijit Bhattacharjee
University of Saskatchewan (CA)
3 shared publications
- Supporting program comprehension by generating abstract code summary tree
- Supporting Readability by Comprehending the Hierarchical Abstraction of a Software Project
- Supporting program comprehension by generating abstract code summary tree
Muhammad Mainul Hossain
University of Saskatchewan (CA)
3 shared publications
- Extensibility Challenges of Scientific Workflow Management Systems
- A Domain-Specific Composition Environment for Provenance Query of Scientific Workflows
- Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems
Jarin Tasnim
University of Saskatchewan (CA)
2 shared publications
- Putting Table Cartograms into Practice
- How does quality deviate in stable releases by backporting?
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