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Your search keyword '"Denys Poshyvanyk"' showing total 173 results

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173 results on '"Denys Poshyvanyk"'

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1. Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios

2. A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

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3. Enabling Mutant Generation for Open- and Closed-Source Android Apps

4. Security in Centralized Data Store-based Home Automation Platforms

5. Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

6. A Multi-Study Investigation into Dead Code

8. An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation

9. Using Pre-Trained Models to Boost Code Review Automation

10. Toward Interactive Bug Reporting for (Android App) End-Users

12. An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

13. A Replication Package for It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

14. µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android

15. Towards Automating Code Review Activities

16. An Empirical Study on the Usage of Transformer Models for Code Completion

17. Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques

18. Systematic Mutation-based Evaluation of the Soundness of Security-focused Android Static Analysis Techniques

19. An Empirical Study on the Usage of BERT Models for Code Completion

20. On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery

21. Translating video recordings of mobile app usages into replayable scenarios

22. DeepMutation

23. On learning meaningful assert statements for unit test cases

24. Improving the effectiveness of traceability link recovery using hierarchical bayesian networks

25. Towards a Natural Perspective of Smart Homes for Practical Security and Safety Analyses

26. Multi-Objective Optimization of Energy Consumption of GUIs in Android Apps

27. When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

28. How developers micro-optimize Android apps

29. Assessing the quality of the steps to reproduce in bug reports

30. On Learning Meaningful Code Changes Via Neural Machine Translation

32. SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

33. License usage and changes: a large-scale study on gitHub

34. An empirical investigation into learning bug-fixing patches in the wild via neural machine translation

35. Overcoming language dichotomies

36. Towards just-in-time refactoring recommenders

37. Aiding comprehension of unit test cases and test suites with stereotype-based tagging

38. To distribute or not to distribute?

39. Development, testing and maintenance of Android apps

40. Automated reporting of GUI design violations for mobile apps

41. MDroid+

42. How developers micro-optimize Android apps (journal-first abstract)

43. Learning How to Mutate Source Code from Bug-Fixes

44. How do Developers Test Android Applications?

45. How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects

46. FOREPOST: finding performance problems automatically with feedback-directed learning software testing

47. The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps

48. Automatically assessing code understandability: How far are we?

49. Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing

50. GEMMA: Multi-objective Optimization of Energy Consumption of GUIs in Android Apps