Jeff Offutt
PhD, Information and Computer Science, Georgia Institute of Technology, 1988
MS, Information and Computer Science, Georgia Institute of Technology, 1985
BS, double major in Data Processing and Mathematics, Morehead State University, 1982
Jeff Offutt joined the University at Albany in August 2023. Prior to joining UAlbany, he was Professor and Associate Chair of Computer Science at George Mason University. He spent 31 years at George Mason, where he designed the Master's Program in Software Engineering, the PhD program in Computer Science, and numerous courses. He is widely known for seminal research on mutation testing, web application testing, dynamic symbolic execution, and model-based testing.
He was editor-in-chief of the journal of Software Testing, Verification, and Reliability; co-authored the book Introduction to Software Testing; and co-founded the IEEE International Conference on Software Testing. He has published more than 200 research papers, received several major awards for both research and teaching, and been awarded two Most Influential Papers and an ACM Notable paper.
Research Interests:
* Software testing
* Computer science and software engineering education
* Software evolution and maintenance
Selected Publications
Paul Ammann and Jeff Offutt, Introduction to Software Testing, second edition, 2016, Cambridge University Press (first edition 2008)
Fabiano Ferrari, Vinicius Durelli, Sten Andler, Jeff Offutt, Mehrdad Saadatmand, Nils Muellner. On the Implications of Transforming Tests from Models to Code: A Systematic Literature Review. Wiley’s Journal of Software Testing, Verification, and Reliability. July 2023
Marcos Lordello Chaim, Kesina Baral, Jeff Offutt, Mario Concilio Neto, and Roberto Paulo Andrioli de Araujo. On Subsumption Relationships in Data Flow Testing. Wiley’s Journal of Software Testing, Verification, and Reliability. March 2023
Amy Hutchison, Jamie Colwell, Kristie Gutierrez, Anya Evmenova, Jeff Offutt, and Margaret Gross. Evaluating the role of professional development on elementary teachers™ knowledge, comfort, and beliefs related to teaching computer science to students with high-incidence disabilities. Journal of Research on Technology in Education. July 2022
Amy Hutchison, Jamie Colwell, Kristie Gutierrez, Anya Evmenova, Jeff Offutt, and Valerie Taylor. Designing a model of computer science professional development for elementary educators in inclusive settings. Journal of Technology and Teacher Education, 29(2):165-193, April 2022
Jeff Offutt and Kesina Baral. Designing Divergent Thinking, Creative Problem Solving Exams. Software Engineering Education and Training, May 2022
Kesina Baral, Jeff Offutt, and Fiza Mulla. Self determination: A comprehensive strategy for making automated tests more effective and efficient. 13th IEEE International Conference on Software Testing, Verification, and Validation, April 2021
Marcos Lordello Chaim, Kesina Baral, Jeff Offutt, Mario Concilio Neto, and Roberto Araujo. Efficiently Finding Data Flow Subsumptions. 13th IEEE International Conference on Software Testing, Verification, and Validation, April 2021 (Best paper award)
Jeff Offutt and Sunitha Thummala. Testing Concurrent User Behavior of Synchronous Web Applications with Petri Nets. Springer’s Software and Systems Modeling, February 2018
Nan Li and Jeff Offutt. Test Oracle Strategies for Model-based Testing. IEEE Transactions on Software Engineering, 43(4):372-395, April 2017
Deanna D. Caputo, Shari Lawrence Pfleeger, M. Angela Sasse, Paul Ammann, Jeff Offutt, and Lin Deng. Barriers to Usable Security? Three Organizational Case Studies. IEEE Security & Privacy, 14(5):22-32, September-October 2016