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ICSE 2020
Wed 24 June - Thu 16 July 2020
Gregory Kapfhammer

Registered user since Wed 11 Dec 2019

Name: Gregory Kapfhammer

Bio: Gregory M. Kapfhammer is an Associate Professor in the Department of Computer Science at Allegheny College. He earned his PhD from the Department of Computer Science at the University of Pittsburgh, writing a PhD dissertation that was supervised by Mary Lou Soffa. Kapfhammer was previously a short-term visitor in the Department of Computer Science at the University of Virginia, the Institute of Applied Information Processing at the University of Ulm, and the Department of Computer Science at the University of Sheffield. In a prior position, Gregory Kapfhammer was a research associate at Cigital, a software company that was acquired by Synopsys. Working in the areas of software engineering and software testing, Kapfhammer publishes papers at top conferences and journals such as the International Conference on Software Testing, Verification and Validation, the International Symposium on Software Testing and Analysis, the International Symposium on the Foundations of Software Engineering, Transactions on Software Engineering, and Transactions on Software Engineering and Methodology. He currently serves as an Associate Editor for the Journal of Software: Evolution and Process, an Academic Editor for the PeerJ Computer Science journal, and recently served as a program committee member for conferences like the International Conference on Software Testing, Verification and Validation and other venues such as the International Symposium on Search Based Software Engineering and the International Workshop on the Automation of Software Test.

Country: United States

Affiliation: Allegheny College, USA

Personal website: https://www.gregorykapfhammer.com/

Research interests: Software Engineering and Software Testing

Contributions

AST 2020Program Committee in Program Committee within the AST 2020-track
Author of Hybrid Methods for Reducing Database Schema Test Suites: Experimental Insights from Computational and Human Studies within the AST 2020-track
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