Gregory Gay
Gregory Gay is an Associate 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
Visar 28 publikationer
An intelligent test management system for optimizing decision making during software testing
Testing, Debugging, and Log Analysis With Modern AI Tools
A Framework for Managing Quality Requirements for Machine Learning-Based Software Systems
Exploring the Role of Automation in Duplicate Bug Report Detection: An Industrial Case Study
Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter
Exploring Genetic Improvement of the Carbon Footprint of Web Pages
Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction
Automated Support for Unit Test Generation
Understanding Problem Solving in Software Testing: An Exploration of Tester Routines and Behavior
Understanding Problem Solving in Software Testing: An Exploration of Tester Routines and Behavior
Test Maintenance for Machine Learning Systems: A Case Study in the Automotive Industry
How Do Different Types of Testing Goals Affect Test Case Design?
Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps
The integration of machine learning into automated test generation: A systematic mapping study
Identifying Redundancies and Gaps Across Testing Levels During Verification of Automotive Software
Mutation Testing in Continuous Integration: An Exploratory Industrial Case Study
Requirements Engineering for Automotive Perception Systems: An Interview Study
How Closely are Common Mutation Operators Coupled to Real Faults?
Learning how to search: generating effective test cases through adaptive fitness function selection
Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest
Using Machine Learning to Generate Test Oracles: A Systematic Literature Review
Bytecode-Based Multiple Condition Coverage: An Initial Investigation
Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection
Understanding The Impact of Solver Choice in Model-Based Test Generation
Defects4J as a Challenge Case for the Search-Based Software Engineering Community
Ladda ner publikationslistor
Du kan ladda ner denna lista till din dator.
Filtrera och ladda ner publikationslista
Som inloggad användare hittar du ytterligare funktioner i MyResearch.
Du kan även exportera direkt till Zotero eller Mendeley genom webbläsarplugins. Dessa hittar du här:
Zotero Connector
Mendeley Web Importer
Tjänsten SwePub erbjuder uttag av Researchs listor i andra format, till exempel kan du få uttag av publikationer enligt Harvard och Oxford i .RIS, BibTex och RefWorks-format.
Visar 1 forskningsprojekt
Context-Infused Automated Software Test Generation