Gregory Gay

Forskarassistent vid Testing, Requirements, Innovation and Psychology

Gregory Gay is an Assistant Professor in the Software Engineering division at Chalmers and the University of Gothenburg. His research interests include automated testing and analysis and search-based software engineering. Our society depends on complex software. Dr. Gay's research blends optimization, artificial intelligence, and machine learning techniques in order to help developers deliver those systems in a safe, secure, and efficient manner.

Dr. Gay received his Ph.D. from the University of Minnesota, working with the Critical Systems research group, and an M.S. from West Virginia University. He was previously an Assistant Professor at the University of South Carolina.

Personal Webpage: ​http://greggay.com
Google Scholar: ​https://scholar.google.com/citations?user=3nwDANgAAAAJ&hl=en

Källa: chalmers.se
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Visar 6 publikationer

2021

Using Machine Learning to Generate Test Oracles: A Systematic Literature Review

Afonso Fontes, Gregory Gay
TORACLE 2021: Proceedings of the 1st International Workshop on Test Oracles, p. 1-10
Paper i proceeding
2020

Understanding The Impact of Solver Choice in Model-Based Test Generation

Ying Meng, Gregory Gay
Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Vol. ESEM '20
Paper i proceeding
2020

Learning How to Search: Generating Exception-Triggering Tests Through Adaptive Fitness Function Selection

Hussein Almulla, Gregory Gay
2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST), p. 63-73
Paper i proceeding
2020

Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection

Hussein Almulla, Gregory Gay
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. SSBSE 2020, p. 246-252
Paper i proceeding
2020

Defects4J as a Challenge Case for the Search-Based Software Engineering Community

Gregory Gay, René Just
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12420 LNCS, p. 255-261
Paper i proceeding
2020

Bytecode-Based Multiple Condition Coverage: An Initial Investigation

Srujana Bollina, Gregory Gay
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. SSBSE 2020, p. 220-236
Paper i proceeding

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Visar 1 forskningsprojekt

2020–2023

Context-Infused Automated Software Test Generation

Gregory Gay Software Engineering for Testing, Requirements, Innovation and Psychology
Afonso Fontes Software Engineering for Testing, Requirements, Innovation and Psychology
Vetenskapsrådet (VR)

Det kan finnas fler projekt där Gregory Gay medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.