2026 Gordon Fraser: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3816	3710	170	165	267	13777

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

3816

3710

170

165

267

13777

Overview

Gordon Fraser is affiliated with the University of Passau in Germany and has contributed extensively to the field of computer science, particularly in software testing and debugging. Their body of work spans over a hundred publications with a strong focus on software engineering research, software reliability, and teaching methodologies in programming.

Their recent papers include:

"Practical Mutation Testing at Scale: A view from Google", 2021, IEEE Transactions on Software Engineering
"An empirical study of automated unit test generation for Python", 2023, Empirical Software Engineering
"Test smells 20 years later: detectability, validity, and reliability", 2022, Empirical Software Engineering
"Automated test generation for Scratch programs", 2023, Empirical Software Engineering
"Encoding the certainty of boolean variables to improve the guidance for search-based test generation", 2021, Proceedings of the Genetic and Evolutionary Computation Conference

Frequent co-authors collaborating with Gordon Fraser include:

Philipp Straubinger
Stephan Lukasczyk
Patric Feldmeier
Sebastian Schweikl
Florian Kroiß

Gordon Fraser's work is frequently published in the following venues:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Empirical Software Engineering
Proceedings of the Genetic and Evolutionary Computation Conference
2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Their research spans several fields and subfields within computer science, including:

Software
Computer Science Applications
Information Systems
Artificial Intelligence
Signal Processing

Core topics addressed in Gordon Fraser's research are:

Software Testing and Debugging Techniques
Teaching and Learning Programming
Software Engineering Research
Software Reliability and Analysis Research
Advanced Malware Detection Techniques
Educational Games and Gamification
Software System Performance and Reliability

Best Publications

EvoSuite: automatic test suite generation for object-oriented software

Gordon Fraser;Andrea Arcuri

1216
Citations
Are mutants a valid substitute for real faults in software testing

René Just;Darioush Jalali;Laura Inozemtseva;Michael D. Ernst

779
Citations
Mutation-Driven Generation of Unit Tests and Oracles

G. Fraser;A. Zeller

691
Citations
Whole Test Suite Generation

G. Fraser;A. Arcuri

682
Citations
A Survey on Metamorphic Testing

Sergio Segura;Gordon Fraser;Ana B. Sanchez;Antonio Ruiz-Cortes

559
Citations
Evaluating and improving fault localization

Spencer Pearson;Jose Campos;Rene Just;Gordon Fraser

458
Citations
Parameter tuning or default values? An empirical investigation in search-based software engineering

Andrea Arcuri;Gordon Fraser

421
Citations
Testing with model checkers: a survey

Gordon Fraser;Franz Wotawa;Paul E. Ammann

285
Citations
A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite

Gordon Fraser;Andrea Arcuri

256
Citations
Do Automatically Generated Unit Tests Find Real Faults? An Empirical Study of Effectiveness and Challenges (T)

Sina Shamshiri;Rene Just;Jose Miguel Rojas;Gordon Fraser

255
Citations
Testing with model checkers: a survey

Unknown

244
Citations
On parameter tuning in search based software engineering

Andrea Arcuri;Gordon Fraser

233
Citations
Automatically testing self-driving cars with search-based procedural content generation

Alessio Gambi;Marc Mueller;Gordon Fraser

208
Citations
Evolutionary Generation of Whole Test Suites

Gordon Fraser;Andrea Arcuri

174
Citations
Sound empirical evidence in software testing

Gordon Fraser;Andrea Arcuri

159
Citations
An industrial evaluation of unit test generation: finding real faults in a financial application

M. Moein Almasi;Hadi Hemmati;Gordon Fraser;Andrea Arcuri

157
Citations
Modeling readability to improve unit tests

Ermira Daka;José Campos;Gordon Fraser;Jonathan Dorn

155
Citations
A Survey on Unit Testing Practices and Problems

Ermira Daka;Gordon Fraser

154
Citations
Search-based system testing: high coverage, no false alarms

Florian Gross;Gordon Fraser;Andreas Zeller

151
Citations
The Seed is Strong: Seeding Strategies in Search-Based Software Testing

Gordon Fraser;Andrea Arcuri

133
Citations
1600 faults in 100 projects: automatically finding faults while achieving high coverage with EvoSuite

Gordon Fraser;Andrea Arcuri

131
Citations
Achieving scalable mutation-based generation of whole test suites

Gordon Fraser;Andrea Arcuri

131
Citations
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE 2018)

Marianne Huchard;Christian Kästner;Gordon Fraser

127
Citations

Frequent Co-Authors

Andrea Arcuri Kristiania University College

Phil McMinn University of Sheffield

Andreas Zeller Saarland University

Paul Ammann George Mason University

Rui Abreu University of Porto

Michael D. Ernst University of Washington

Alessandro Orso Georgia Institute of Technology

Guy J. Brown University of Sheffield

Westley Weimer University of Michigan–Ann Arbor

Darko Marinov University of Illinois at Urbana-Champaign

External Links

Personal website of Gordon Fraser Google Scholar page

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