Poshyvanyk, Denys
William & Mary
14 papers on CoChatORCID 0000-0002-5626-7586
Most cited papers
- Verified
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Tufano, M., Watson, C., Bavota, G., Penta, M. D., White, M., & Poshyvanyk, D. (2019) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 370
- Verified
Deep learning similarities from different representations of source code
Tufano, M., Watson, C., Bavota, G., Di Penta, M., White, M., & Poshyvanyk, D. (2018) · Proceedings of the 15th International Conference on Mining Software Repositories
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 158
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How do API changes trigger stack overflow discussions? a study on the Android SDK
Linares-Vásquez, M., Bavota, G., Di Penta, M., Oliveto, R., & Poshyvanyk, D. (2014) · Proceedings of the 22nd International Conference on Program Comprehension
Software Engineering ResearchExpert finding and Q&A systems
Cited by 146
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A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Watson, C., Cooper, N., Palacio, D. N., Moran, K., & Poshyvanyk, D. (2022) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 137
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Improving code readability models with textual features
Scalabrino, S., Linares-Vasquez, M., Poshyvanyk, D., & Oliveto, R. (2016) · 2016 IEEE 24th International Conference on Program Comprehension (ICPC)
Software Engineering ResearchText Readability and Simplification
Cited by 114
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Using Data Fusion and Web Mining to Support Feature Location in Software
Revelle, M., Dit, B., & Poshyvanyk, D. (2010) · 2010 IEEE 18th International Conference on Program Comprehension
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 105
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Automated reporting of GUI design violations for mobile apps
Moran, K., Li, B., Bernal-Cárdenas, C., Jelf, D., & Poshyvanyk, D. (2018) · Proceedings of the 40th International Conference on Software Engineering
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 101
- Verified · note
Can Better Identifier Splitting Techniques Help Feature Location?
Dit, B., Guerrouj, L., Poshyvanyk, D., & Antoniol, G. (2011) · 2011 IEEE 19th International Conference on Program Comprehension
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 89
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On automatically detecting similar Android apps
Linares-Vasquez, M., Holtzhauer, A., & Poshyvanyk, D. (2016) · 2016 IEEE 24th International Conference on Program Comprehension (ICPC)
Software Engineering ResearchAdvanced Malware Detection Techniques
Cited by 43
- Verified · note
Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms
Panichella, A., Dit, B., Oliveto, R., Di Penta, M., Poshyvanyk, D., & De Lucia, A. (2016) · 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)
Software Engineering ResearchInformation Retrieval and Search Behavior
Cited by 36
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Toward a Theory of Causation for Interpreting Neural Code Models
Nader Palacio, D., Velasco, A., Cooper, N., Rodriguez, A., Moran, K., & Poshyvanyk, D. (2024) · IEEE Transactions on Software Engineering
Explainable Artificial Intelligence (XAI)Software Engineering Research
Cited by 18
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Benchmarking Causal Study to Interpret Large Language Models for Source Code
Rodriguez-Cardenas, D., Palacio, D. N., Khati, D., Burke, H., & Poshyvanyk, D. (2023) · 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 14
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A 2030 Roadmap for Software Engineering
Pezzè, M., Abrahão, S., Penzenstadler, B., Poshyvanyk, D., Roychoudhury, A., & Yue, T. (2025) · ACM Transactions on Software Engineering and Methodology
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 13
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GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs
Liu, R., Teoh, X., Lin, Y., Chen, G., Ren, R., Poshyvanyk, D., & Dong, J. S. (2025) · Proceedings of the ACM on Software Engineering
Software Testing and Debugging TechniquesMobile and Web Applications
Cited by 12
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