208 results on '"Meiyappan Nagappan"'
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2. (Deep) Learning of Android Access Control Recommendation from Static Execution Paths.
3. Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization.
4. A User-centered Security Evaluation of Copilot.
5. FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing.
6. Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems.
7. The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds.
8. RLocator: Reinforcement Learning for Bug Localization.
9. AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes.
10. Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets.
11. Unveiling the Relationship Between Continuous Integration and Code Coverage.
12. Design choices made by LLM-based test generators prevent them from finding bugs.
13. Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks.
14. BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning.
15. Test-Driven Development for Code Generation.
16. LLbezpeky: Leveraging Large Language Models for Vulnerability Detection.
17. Bash in the Wild: Language Usage, Code Smells, and Bugs.
18. ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction.
19. RepoQuester: A Tool Towards Evaluating GitHub Projects.
20. Towards understanding barriers and mitigation strategies of software engineers with non-traditional educational and occupational backgrounds.
21. Diversity in issue assignment: humans vs bots.
22. Analyzing First Contributions on GitHub: What Do Newcomers Do?
23. Watch Out for Extrinsic Bugs! A Case Study of Their Impact in Just-In-Time Bug Prediction Models on the OpenStack Project.
24. On the Relationship Between the Developer's Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS.
25. Copilot Security: A User Study.
26. Measuring the Runtime Performance of Code Produced with GitHub Copilot.
27. Diversity in Software Engineering Conferences and Journals.
28. Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++.
29. RLocator: Reinforcement Learning for Bug Localization.
30. Insights Into Nonmerged Pull Requests in GitHub: Is There Evidence of Bias Based on Perceptible Race?
31. Effects of Personality Traits on Pull Request Acceptance.
32. A Report on Tutorials and Tech-Briefings co-located with ISEC 2022.
33. Is GitHub's Copilot as Bad As Humans at Introducing Vulnerabilities in Code?
34. Towards Understanding Barriers and Mitigation Strategies of Software Engineers with Non-traditional Educational and Occupational Backgrounds.
35. Is GitHub's Copilot as bad as humans at introducing vulnerabilities in code?
36. An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects.
37. Relationship between diversity of collaborative group members' race and ethnicity and the frequency of their collaborative contributions in GitHub.
38. A comparison of bugs across the iOS and Android platforms of two open source cross platform browser apps.
39. Examining User-Developer Feedback Loops in the iOS App Store.
40. Open Source Vulnerability Notification.
41. Shadow Program Committee Initiative: Process and Reflection.
42. Ammonia: an approach for deriving project-specific bug patterns.
43. Roles and impacts of hands-on software architects in five industrial case studies.
44. Understanding the Role of Reporting in Work Item Tracking Systems for Software Development: An Industrial Case Study.
45. Affective Dynamics and Control in Group Processes.
46. On the Relationship Between the Developer's Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS.
47. Watch out for Extrinsic Bugs! A Case Study of their Impact in Just-In-Time Bug Prediction Models on the OpenStack project.
48. Guest Editorial: Special Issue on Software Engineering for Mobile Applications.
49. A large-scale study on the usage of testing patterns that address maintainability attributes: patterns for ease of modification, diagnoses, and comprehension.
50. Evaluating State-of-the-Art Free and Open Source Static Analysis Tools Against Buffer Errors in Android Apps.
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