| An analysis of the automatic bug fixing performance of chatgpt D Sobania, M Briesch, C Hanna, J Petke 2023 IEEE/ACM International Workshop on Automated Program Repair (APR), 23-30, 2023 | 353 | 2023 |
| Genetic improvement of software: a comprehensive survey J Petke, SO Haraldsson, M Harman, WB Langdon, DR White, ... IEEE Transactions on Evolutionary Computation 22 (3), 415-432, 2017 | 270 | 2017 |
| Automated software transplantation ET Barr, M Harman, Y Jia, A Marginean, J Petke Proceedings of the 2015 International Symposium on Software Testing and …, 2015 | 177 | 2015 |
| Search based software engineering for software product line engineering: a survey and directions for future work M Harman, Y Jia, J Krinke, WB Langdon, J Petke, Y Zhang Proceedings of the 18th International Software Product Line Conference …, 2014 | 176 | 2014 |
| Using genetic improvement and code transplants to specialise a C++ program to a problem class J Petke, M Harman, WB Langdon, W Weimer Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014 | 166 | 2014 |
| Learning combinatorial interaction test generation strategies using hyperheuristic search Y Jia, MB Cohen, M Harman, J Petke 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 139 | 2015 |
| Reducing energy consumption using genetic improvement BR Bruce, J Petke, M Harman Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 135 | 2015 |
| Efficiency and early fault detection with lower and higher strength combinatorial interaction testing J Petke, S Yoo, MB Cohen, M Harman Proceedings of the 2013 9th Joint Meeting on Foundations of Software …, 2013 | 128 | 2013 |
| Practical combinatorial interaction testing: Empirical findings on efficiency and early fault detection J Petke, MB Cohen, M Harman, S Yoo IEEE Transactions on Software Engineering 41 (9), 901-924, 2015 | 123 | 2015 |
| Improving CUDA DNA analysis software with genetic programming WB Langdon, BYH Lam, J Petke, M Harman Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 75 | 2015 |
| An empirical comparison of combinatorial testing, random testing and adaptive random testing H Wu, C Nie, J Petke, Y Jia, M Harman IEEE Transactions on Software Engineering 46 (3), 302-320, 2018 | 68 | 2018 |
| Improving 3D medical image registration CUDA software with genetic programming WB Langdon, M Modat, J Petke, M Harman Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 62 | 2014 |
| Genetic improvement for adaptive software engineering (keynote) M Harman, Y Jia, WB Langdon, J Petke, IH Moghadam, S Yoo, F Wu Proceedings of the 9th International Symposium on Software Engineering for …, 2014 | 55 | 2014 |
| Gin: genetic improvement research made easy AEI Brownlee, J Petke, B Alexander, ET Barr, M Wagner, DR White Proceedings of the Genetic and Evolutionary Computation Conference, 985-993, 2019 | 49 | 2019 |
| Specialising software for different downstream applications using genetic improvement and code transplantation J Petke, M Harman, WB Langdon, W Weimer IEEE Transactions on Software Engineering 44 (6), 574-594, 2017 | 49 | 2017 |
| Genetic improvement of GPU software WB Langdon, BYH Lam, M Modat, J Petke, M Harman Genetic Programming and Evolvable Machines 18, 5-44, 2017 | 48 | 2017 |
| The order encoding: From tractable CSP to tractable SAT J Petke, P Jeavons International Conference on Theory and Applications of Satisfiability …, 2011 | 48 | 2011 |
| Software is not fragile WB Langdon, J Petke First Complex Systems Digital Campus World E-Conference 2015, 203-211, 2016 | 47 | 2016 |
| Evolving better RNAfold structure prediction WB Langdon, J Petke, R Lorenz Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy …, 2018 | 43 | 2018 |
| Applying genetic improvement to MiniSAT J Petke, WB Langdon, M Harman Search Based Software Engineering: 5th International Symposium, SSBSE 2013 …, 2013 | 43 | 2013 |
