Denys Poshyvanyk is a Chancellor Professor of Computer Science at William and Mary. His current research is in the area of software engineering, evolution and maintenance, program comprehension, applications of machine learning (deep learning) and information retrieval in SE, mobile app (Android) development and testing, and large-scale software repository mining. His papers received seven Best Paper Awards and seven ACM SIGSOFT Distinguished Paper Awards. He also received four Most Influential Paper Awards (Òtest of timeÓ awards). He is a recipient of the NSF CAREER award (2013). He has served on the editorial boards for several top SE journals, including IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and Empirical Software Engineering. He serves on the steering committee of the IEEE/ACM International Conference on Automated Software Engineering and ACM/IEEE International Conference on Mobile Software Engineering and Systems. He served on the steering committee of the IEEE International Conference on Software Maintenance and Evolution and chaired the steering committee of the IEEE International Conference on Program Comprehension. He was also one of the co-organizers of the 2019 NSF Workshop on Deep Learning and Software Engineering. He currently serves as an Artificial Intelligence and Software Engineering Area Co-chair for ICSEÕ23 PC. He also served as a PC Co-chair for multiple conferences including ASE'21, MobileSoftÕ19, ICSME'16, and ICPC'13. He is a member of the CRA-E Board of Directors. He is a senior member of ACM and IEEE.
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Deep Learning for Software Engineering
Bridging the abstraction gap between concepts and source code is the essence of software engineering (SE). SE researchers regularly use machine learning to bridge this gap, but there are...
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