University of Minnesota
Software Engineering Center
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Gregory Gay

Gregory Gay
Student/Research Assistant
Office Location: 
6-248 Keller Hall
Education: 
Ph.D. Computer Science, University of Minnesota, 2015
Advisor: Dr. Mats Heimdahl.
Thesis title: Steering Model-Based Oracles to Admit Real Program Behaviors.

M.S. Computer Science, West Virginia University, 2010.
Advisor: Dr. Tim Menzies.
Thesis title: Robust Optimization of Non-Linear Requirements Models.

B.S. Computer Science, West Virginia University, 2008.
Biography: 

Greg is an assistant professor of Computer Science & Engineering at University of South Carolina. He was previously is a PhD student and research assistant at University of Minnesota under a NSF Graduate Research Fellowship, working with the Critical Systems research group. He received his BS and MS in Computer Science from West Virginia University.

Additionally, Greg has previously interned at NASA's Ames Research Center and Independent Verification & Validation Center, and spent time as a visiting academic at the Chinese Academy of Sciences in Beijing.

Research: 

Greg's research is primarily in the areas of search-based software engineering and automated software testing and analysis, with an emphasis on aspects of the test oracle problem. His current research focus is on construction of effective test oracles for real-time and safety critical systems, including methods of selecting oracle data and making comparisons.

His approach to addressing research problems is based on a data-centric approach, forming an intersection between search, optimization, data mining, and artificial intelligence. He strives to harness the information content of software development artifacts to improve the efficiency and quality of the testing process and to automate tasks in order to lessen the burden on human testers.

His past research has largely focused on the application of search, optimization, and information retrieval techniques to various software engineering tasks, including model optimization, requirements engineering, effort estimation, defect detection, and the traceability between source code and defect reports.

Recent Publications

Automated Oracle Creation Support, or: How I Learned to Stop Worrying About Fault Propagation and Love Mutation Testing

In testing, the test oracle is the artifact that determines whether an application under test executes correctly. The choice of test oracle can significantly impact the effectiveness of the testing process. However, despite the prevalence of tools that support the selection of test inputs, little work exists for supporting oracle creation. In this work, we propose a method of supporting test oracle creation. This method automatically selects the oracle data - the set of variables monitored during testing - for expected value test oracles.

On the Danger of Coverage Directed Test Case Generation

In the avionics domain, the use of structural coverage criteria is legally required in determining test suite adequacy. With the success of automated test generation tools, it is tempting to use these criteria as the basis for test generation. To more firmly establish the eectiveness of such approaches, we have generated and evaluated test suites to satisfy two coverage criteria using counterexample-based test generation and a random generation approach, contrasted against purely random test suites of equal size.

Sharing Experiments Using Open Source Software

When researchers want to repeat, improve or refute prior conclusions, it is useful to have a complete and operational description of prior experiments. If those descriptions are overly long or complex, then sharing their details may not be informative. OURMINE is a scripting environment for the development and deployment of data mining experiments. Using OURMINE, data mining novices can specify and execute intricate experiments, while researchers can publish their complete experimental rig alongside their conclusions. This is achievable because of OURMINE's succinctness.

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