484 results on '"Denys Poshyvanyk"'
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2. Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
3. Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports.
4. BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems.
5. Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs.
6. 'The Law Doesn't Work Like a Computer': Exploring Software Licensing Issues Faced by Legal Practitioners.
7. Toward a Theory of Causation for Interpreting Neural Code Models.
8. Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations.
9. Burt: A Chatbot for Interactive Bug Reporting.
10. Helion: Enabling Natural Testing of Smart Homes.
11. MASC: A Tool for Mutation-Based Evaluation of Static Crypto-API Misuse Detectors.
12. Benchmarking Causal Study to Interpret Large Language Models for Source Code.
13. ACER: An AST-based Call Graph Generator Framework.
14. Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios.
15. Enhancing Mobile App Bug Reporting via Real-Time Understanding of Reproduction Steps.
16. Using Transfer Learning for Code-Related Tasks.
17. Using Pre-Trained Models to Boost Code Review Automation.
18. Toward interactive bug reporting for (android app) end-users.
19. Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques.
20. Can We Automatically Fix Bugs by Learning Edit Operations?
21. An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation.
22. A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.
23. An Empirical Study on the Usage of Transformer Models for Code Completion.
24. Enabling Mutant Generation for Open- and Closed-Source Android Apps.
25. An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation.
26. 'False negative - that one is going to kill you': Understanding Industry Perspectives of Static Analysis based Security Testing.
27. Evaluating and Explaining Large Language Models for Code Using Syntactic Structures.
28. BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems.
29. Toward a Theory of Causation for Interpreting Neural Code Models.
30. Towards Automating Code Review Activities.
31. It Takes Two to TANGO: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports.
32. V2S: A Tool for Translating Video Recordings of Mobile App Usages into Replayable Scenarios.
33. Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.
34. µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android.
35. An Empirical Study on the Usage of BERT Models for Code Completion.
36. Translating video recordings of mobile app usages into replayable scenarios.
37. On learning meaningful assert statements for unit test cases.
38. DeepMutation: a neural mutation tool.
39. Improving the effectiveness of traceability link recovery using hierarchical bayesian networks.
40. Towards a Natural Perspective of Smart Homes for Practical Security and Safety Analyses.
41. Security in Centralized Data Store-based Home Automation Platforms: A Systematic Analysis of Nest and Hue.
42. Automatically Assessing Code Understandability.
43. SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
44. Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques.
45. Guigle: a GUI search engine for Android apps.
46. On learning meaningful code changes via neural machine translation.
47. Assessing the quality of the steps to reproduce in bug reports.
48. Learning to Identify Security-Related Issues Using Convolutional Neural Networks.
49. Learning How to Mutate Source Code from Bug-Fixes.
50. A Study of Data Store-based Home Automation.
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