Browse by UCL people
Group by: Type | Date
Number of items: 88.
Article
Blot, Aymeric;
Petke, Justyna;
(2025)
A Comprehensive Survey of Benchmarks for Improvement of Software’s Non-Functional Properties.
ACM Computing Surveys
(In press).
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Blot, A;
Petke, J;
(2021)
Empirical Comparison of Search Heuristics for Genetic Improvement of Software.
IEEE Transactions on Evolutionary Computation
10.1109/TEVC.2021.3070271.
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Brownlee, Alexander EI;
Callan, James;
Even-Mendoza, Karine;
Geiger, Alina;
Hanna, Carol;
Petke, Justyna;
Sarro, Federica;
(2025)
Large Language Model Based Mutations in Genetic Improvement.
Automated Software Engineering
, 32
(15)
pp. 1-25.
10.1007/s10515-024-00473-6.
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Bruce, BR;
Petke, J;
Harman, M;
Barr, ET;
(2019)
Approximate Oracles and Synergy in Software Energy Search Spaces.
IEEE Transactions on Software Engineering
, 45
(11)
pp. 1150-1169.
10.1109/TSE.2018.2827066.
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Callan, James;
Krauss, Oliver;
Petke, Justyna;
Sarro, Federica;
(2022)
How Do Android Developers Improve Non-Functional Properties of Software?
Empirical Software Engineering
, 27
, Article 113. 10.1007/s10664-022-10137-2.
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Callan, James;
Petke, Justyna;
(2025)
Multi-Objective Improvement of Android Applications.
Automated Software Engineering
, 32
(2)
pp. 1-36.
10.1007/s10515-024-00472-7.
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Dakhama, Aidan;
Even-Mendoza, Karine;
Langdon, WB;
Menéndez, Héctor D;
Petke, Justyna;
(2025)
Enhancing search-based testing with LLMs for finding bugs in system simulators.
Automated Software Engineering
, 32
, Article 63. 10.1007/s10515-025-00531-7.
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De Souza, Leandro Oliveria;
De Almedia, Eduardo Santana;
Da Mota Silveira Neto, Paulo Anselmo;
Barr, Earl;
Petke, Justyna;
(2024)
Software Product Line Engineering via Software Transplantation.
ACM Transactions on Software Engineering and Methodology
(In press).
|
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Guizzo, Giovani;
Williams, David;
Harman, Mark;
Petke, Justyna;
Sarro, Federica;
(2024)
Speeding up Genetic Improvement via Regression Test Selection.
ACM Transactions on Software Engineering and Methodology
10.1145/3680466.
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Hanna, Carol;
Blot, Aymeric;
Petke, Justyna;
(2025)
Reinforcement Learning for Mutation Operator
Selection in Automated Program Repair.
Automated Software Engineering
, 32
, Article 31. 10.1007/s10515-025-00501-z.
|
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Jiang, H;
Tang, K;
Petke, J;
Harman, M;
(2017)
Search Based Software Engineering.
[Editorial comment].
IEEE Computational Intelligence Magazine
, 12
(2)
10.1109/MCI.2017.2670459.
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Langdon, WB;
Lam, BYH;
Modat, M;
Petke, J;
Harman, M;
(2017)
Genetic improvement of GPU software.
Genetic Programming and Evolvable Machines
, 18
(1)
pp. 5-44.
10.1007/s10710-016-9273-9.
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Petke, Justyna;
Alexander, Bradley;
Barr, Earl;
Brownlee, Alexander EI;
Wagner, Markus;
White, David R;
(2023)
Program Transformation Landscapes for Automated Program Modification Using Gin.
Empirical Software Engineering
, 28
, Article 104. 10.1007/s10664-023-10344-5.
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Petke, J;
Cohen, MB;
Harman, M;
Yoo, S;
(2015)
Practical Combinatorial Interaction Testing: Empirical Findings on Efficiency and Early Fault Detection.
IEEE Transactions on Software Engineering
, 41
(9)
pp. 901-924.
10.1109/TSE.2015.2421279.
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Petke, J;
Haraldsson, S;
Harman, M;
langdon, W;
White, D;
Woodward, J;
(2018)
Genetic Improvement of Software: a Comprehensive Survey.
IEEE Transactions on Evolutionary Computation
, 22
(3)
pp. 415-432.
10.1109/TEVC.2017.2693219.
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Petke, J;
Harman, M;
Langdon, WB;
Weimer, W;
(2018)
Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation.
IEEE Transactions on Software Engineering
, 44
(6)
pp. 574-594.
10.1109/TSE.2017.2702606.
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Petke, J;
Menzies, T;
(2018)
Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering.
Information and Software Technology
, 104
p. 194.
10.1016/j.infsof.2018.10.002.
(In press).
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Sobania, Dominik;
Petke, Justyna;
Briesch, Martin;
Rothlauf, Franz;
(2024)
A Comparison of Large Language Models and Genetic Programming for Program Synthesis.
IEEE Transactions on Evolutionary Computation
(In press).
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Wu, H;
Changhai, N;
Petke, J;
Jia, Y;
Harman, M;
(2019)
Comparative Analysis of Constraint Handling Techniques for Constrained Combinatorial Testing.
IEEE Transactions on Software Engineering
, 47
(11)
pp. 2549-2562.
10.1109/TSE.2019.2955687.
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Wu, H;
Changhai, N;
Petke, J;
Jia, Y;
Harman, M;
(2019)
An Empirical Comparison of Combinatorial Testing, Random Testing and Adaptive Random Testing.
IEEE Transactions on Software Engineering
, 14
(8)
10.1109/TSE.2018.2852744.
(In press).
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Wu, H;
Nie, C;
Petke, J;
Jia, Y;
Harman, M;
(2019)
A Survey of Constrained Combinatorial Testing.
arXiv.org
, Article 1908.02480.
(In press).
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Proceedings paper
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An, G;
Blot, A;
Petke, J;
Yoo, S;
(2019)
PyGGI 2.0: Language independent genetic improvement framework.
In:
Proceedings of the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2019.
(pp. pp. 1100-1104).
ACM: New York (NY), USA.
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Barredo, Jorge;
Petke, Justyna;
Clark, David;
Blackwell, Dan;
Eceiza, Maialen;
Iturbe, Mikel;
Flores, Jose Luis;
(2025)
GAFLERNA Ahoy! Integrating EM Side-Channel Analysis into
Traditional Fuzzing Workflows.
In:
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion ’25).
(pp. pp. 550-554).
ACM
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Bian, Z;
Blot, A;
Petke, J;
(2021)
Refining Fitness Functions for Search-Based Program Repair.
In:
2021 IEEE/ACM International Workshop on Automated Program Repair (APR).
IEEE: Madrid, Spain (held virtually).
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Blackwell, Dan;
Petke, Justyna;
Cao, Yazhuo;
Bensoussan, Avner;
(2024)
Fuzzing-Based Differential Testing For Quantum Simulators.
In: Jahangirova, Gunel and Khomh, Foutse, (eds.)
International Symposium on Search Based Software Engineering.
(pp. pp. 63-69).
Springer Cham: Porto de Galinhas, Brazil, Brazil.
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Blot, A;
Petke, J;
(2020)
Stack-Based Genetic Improvement.
In:
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops.
(pp. pp. 289-290).
ACM
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Blot, A;
Petke, J;
(2020)
Synthetic Benchmarks for Genetic Improvement.
In:
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops.
(pp. pp. 287-288).
ACM
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Blot, A;
Petke, J;
(2020)
Comparing Genetic Programming Approaches for Non-functional Genetic Improvement.
In: Hu, T and Lourenço, N and Medvet, E and Divina, F, (eds.)
Genetic Programming.
(pp. pp. 68-83).
Springer Nature: Cham, Switzerland.
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Blot, A;
Petke, J;
(2019)
On Adaptive Specialisation in Genetic Improvement.
In:
Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO).
(pp. pp. 1703-1704).
Association for Computing Machinery (ACM): New York, NY, USA.
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Bose, Damien;
Hanna, carol;
Petke, Justyna;
(2025)
Enhancing Software Runtime with Reinforcement
Learning-Driven Mutation Operator Selection in
Genetic Improvement.
In:
Proceedings- 2025 IEEE/ACM International Workshop on Genetic Improvement (GI).
(pp. pp. 27-34).
IEEE (Institute of Electrical and Electronics Engineers): Ottawa, ON, Canada.
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Bouras, Dimitrios Stamatios;
Mechtaev, Sergey;
Petke, Justyna;
(2025)
Llm-Assisted Crossover in Genetic Improvement of Software.
In:
Proceedings of the 2025 IEEE/ACM International Workshop on Genetic Improvement (GI).
(pp. pp. 19-26).
IEEE: Ottawa, ON, Canada.
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Brownlee, Alexander EI;
Callan, James;
Even-Mendoza, Karine;
Geiger, Alina;
Hanna, Carol;
Petke, Justyna;
Sarro, Federica;
(2023)
Enhancing Genetic Improvement Mutations Using Large Language Models.
In:
SSBSE 2023: Search-Based Software Engineering. 15th International Symposium.
Springer
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Brownlee, AEI;
Petke, J;
Alexander, B;
Barr, ET;
Wagner, M;
White, DR;
(2019)
Gin: Genetic Improvement Research Made Easy.
In: López-Ibáñez, M and Auger, A and Stützle, T, (eds.)
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference.
(pp. pp. 985-993).
Association for Computing Machinery (ACM): Prague, Czech Republic.
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Brownlee, AEI;
Petke, J;
Rasburn, AF;
(2020)
Injecting Shortcuts for Faster Running Java Code.
In:
Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC).
IEEE: Glasgow, UK.
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Bruce, BR;
Aitken, JM;
Petke, J;
(2016)
Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV.
In: Sarro, F and Deb, K, (eds.)
International Symposium on Search Based Software Engineering.
(pp. pp. 238-243).
Springer, Cham: Raleigh, NC, USA.
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Callan, J;
Petke, J;
(2021)
Improving Android App Responsiveness through Search-Based Frame Rate Reduction.
In:
Search-Based Software Engineering. SSBSE 2021.
(pp. pp. 136-150).
Springer: Cham, Switzerland.
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Callan, James;
Langdon, William;
Petke, Justyna;
(2024)
On Reducing Network Usage with Genetic Improvement.
In:
Proceedings of GI@ICSE 2024: 13th International Workshop.
Association for Computing Machinery (ACM): Lisbon, Portugal.
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Callan, James;
Petke, Justyna;
(2022)
Improving responsiveness of Android activity navigation via genetic improvement.
In: Dwyer, Matthew B, (ed.)
ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings.
(pp. pp. 356-357).
Association for Computing Machinery (ACM): New York, NY, USA.
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Callan, James;
Petke, Justyna;
(2022)
Multi-Objective Genetic Improvement: A Case Study with EvoSuite.
In: Papadakis, Mike and Vergilio, Silvia Regina, (eds.)
Search-Based Software Engineering.
(pp. pp. 111-117).
Springer Nature: Cham, Switzerland.
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Callan, J;
Petke, J;
(2021)
Optimising SQL Queries Using Genetic Improvement.
In:
2021 IEEE/ACM International Workshop on Genetic Improvement (GI).
IEEE
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Dakhama, Aidan;
Even-Mendoza, Karine;
Langdon, William B;
Menendez, Hector;
Petke, Justyna;
(2023)
SearchGEM5: Towards Reliable gem5 with Search Based Software Testing and Large Language Models.
In:
Search-Based Software Engineering. SSBSE 2023.
Springer
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Even-Mendoza, Karine;
Brownlee, Alexander;
Geiger, Alina;
Hanna, Carol;
Petke, Justyna;
Sarro, Federica;
Sobania, Dominik;
(2025)
LLM-Guided Genetic Improvement: Envisioning
Semantic Aware Automated Software Evolution.
In:
(Proceedings) Automated Software Engineering - NIER track.
IEEE/ACM
(In press).
|
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Even-Mendoza, Karine;
Menéndez, Héctor D;
Langdon, William;
Dakhama, Aidan;
Petke, Justyna;
Bruce, Bobby R;
(2025)
Search+LLM-based Testing for ARM Simulators.
In:
International Conference on Software Engineering, Software Engineering in Practice Track, Proceedings.
IEEE/ACM: Ottawa, Canada.
(In press).
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Gargantini, A;
Petke, J;
Radavelli, M;
(2017)
Combinatorial Interaction Testing for Automated Constraint Repair.
In: Kitamura, Takashi and Alégroth, Emil and Ramler, Rudolf, (eds.)
Proceedings of 10th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW - 2017).
(pp. pp. 239-248).
IEEE: Tokyo, Japan.
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Gargantini, A;
Petke, J;
Radavelli, M;
Vavassori, P;
(2016)
Validation of Constraints Among Configuration Parameters Using Search-Based Combinatorial Interaction Testing.
In: Sarro, F and Deb, K, (eds.)
International Symposium on Search Based Software Engineering.
(pp. pp. 49-63).
Springer, Cham: Raleigh, NC, USA.
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Guizzo, G;
Blot, A;
Callan, J;
Petke, J;
Sarro, F;
(2021)
Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e.
In: Sarro, F and Deb, K, (eds.)
SSBSE: International Symposium on Search Based Software Engineering.
Springer: Cham, Switzerland.
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Guizzo, G;
Petke, J;
Sarro, F;
Harman, M;
(2021)
Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection.
In:
2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).
(pp. p. 220).
IEEE
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Guizzo, G;
Petke, J;
Sarro, F;
Harman, M;
(2021)
Enhancing Genetic Improvement of Software with Regression Test Selection.
In:
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE).
(pp. pp. 1323-1333).
IEEE: Madrid, ES.
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Hanna, Carol;
Petke, Justyna;
(2023)
Hot Patching Hot Fixes: Reflection and Perspectives.
In:
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).
ACM
(In press).
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Jia, Y;
Cohen, MB;
Harman, M;
Petke, J;
(2015)
Learning Combinatorial Interaction Test Generation Strategies Using Hyperheuristic Search.
In: Bertolino, A and Elbaum, S and Canfora, G, (eds.)
Proceedings of 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
(pp. pp. 540-550).
IEEE: Florence, Italy.
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Kosorukov, Ilya;
Blackwell, Daniel;
Clark, David;
Cohen, Myra B;
Petke, Justyna;
(2024)
Mining for Mutation Operators for Reduction of Information Flow Control Violations.
In:
Proceedings of The New Ideas and Emerging Results (NIER) Track (ASE-NIER ’24).
(pp. pp. 1-5).
ACM (Association for Computing Machinery)
(In press).
|
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Langdon, WB;
Petke, J;
Clark, D;
(2021)
Dissipative polynomials.
In:
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1683-1691).
ACM
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Langdon, WB;
Weimer, W;
Petke, J;
Fredericks, E;
Lee, S;
Winter, E;
Basios, M;
... Gerten, M; + view all
(2020)
Genetic Improvement @ ICSE 2020.
In:
ACM SIGSOFT Software Engineering Notes.
(pp. pp. 24-30).
ACM
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Langdon, William;
Petke, Justyna;
Blot, Aymeric;
Clark, David;
(2023)
Genetically Improved Software with fewer Data Cache Misses.
In:
GECCO’22 Companion: Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion.
ACM: Lisbon, Portugal.
(In press).
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Langdon, W;
Petke, J;
Harman, M;
Weimer, W;
(2014)
Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class.
In: Heywood, M and Nicolau, M and Krawiec, K, (eds.)
Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014.
(pp. 137 -149).
Springer Verlag: Berlin/Heidelberg, Germany.
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Langdon, WB;
Petke, J;
(2018)
Evolving better software parameters.
In: Colanzi, T and McMinn, P, (eds.)
Search-Based Software Engineering. SSBSE 2018. Lecture Notes in Computer Science.
(pp. pp. 363-369).
Springer: Cham.
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Langdon, WB;
Petke, J;
(2017)
Software is Not Fragile.
In: Bourgine, P and Collet, P and Parrend, P, (eds.)
First Complex Systems Digital Campus World E-Conference 2015.
(pp. pp. 203-211).
Springer: Cham, Switzerland.
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Langdon, WB;
Petke, J;
Bruce, BR;
(2016)
Optimising quantisation noise in energy measurement.
In: Handl, J and Hart, E and Lewis, PR and López-Ibáñez, M and Ochoa, G and Paechter, B, (eds.)
Parallel Problem Solving from Nature – PPSN XIV 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings.
(pp. pp. 249-259).
Springer International Publishing
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Langdon, WB;
Petke, J;
Lorenz, R;
(2018)
Evolving better RNAfold structure prediction.
In:
Genetic Programming. EuroGP 2018.
(pp. pp. 220-236).
Springer International Publishing: Cham, Switzerland.
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Langdon, WB;
Vilella, A;
Lam, BYH;
Petke, J;
Harman, M;
(2016)
Benchmarking genetically improved BarraCUDA on epigenetic methylation NGS datasets and nVidia GPUs.
In: Friedrich, T and Neumann, F and Sutton, AM, (eds.)
GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1131-1132).
Association for Computing Machinery (ACM): New York, NY, USA.
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Langdon, WB;
White, DR;
Harman, M;
Jia, Y;
Petke, J;
(2016)
API-constrained genetic improvement.
In: Sarro, F and Deb, K, (eds.)
Search Based Software Engineering: 8th International Symposium, SSBSE 2016, Raleigh, NC, USA, October 8-10, 2016, Proceedings.
(pp. pp. 224-230).
Springer International Publishing
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Lim, M;
Guizzo, G;
Petke, J;
(2020)
Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software.
In:
International Symposium on Search Based Software Engineering SSBSE 2020: Search-Based Software Engineering.
(pp. pp. 188-203).
Springer
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Mesecan, I;
Blackwell, D;
Clark, D;
Cohen, MB;
Petke, J;
(2022)
HyperGI: Automated Detection and Repair of Information Flow Leakage.
In:
36th IEEE/ACM International Conference on Automated Software Engineering (ASE).
IEEE: Melbourne, Australia.
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Mesecan, Ibrahim;
Blackwell, Daniel;
Clark, David;
Cohen, Myra B;
Petke, Justyna;
(2022)
Keeping Secrets: Multi-objective Genetic Improvement for Detecting and Reducing Information Leakage.
In:
ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Association for Computing Machinery (ACM): New York, NY, USA.
|
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Petke, J;
Clark, D;
Langdon, WB;
(2021)
Software robustness: A survey, a theory, and prospects.
In:
ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
(pp. pp. 1475-1478).
Association for Computing Machinery (ACM): New York, NY, USA.
|
 |
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Petke, Justyna;
(2025)
Optimised Fitness Functions for Automated Improvement of Software’s Execution Time.
In:
(Proceedings) 17th International Symposium on Search-Based Software Engineering.
SBSE
(In press).
|
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Petke, J;
(2017)
New operators for non-functional genetic improvement.
In:
Proceeding GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1541-1542).
ACM: New York, NY, USA.
|
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Petke, J;
(2016)
Genetic Improvement for Code Obfuscation.
In: Friedrich, T, (ed.)
Proceeding GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1135-1136).
ACM: New York, NY, USA.
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Petke, J;
Alexander, B;
Barr, ET;
Brownlee, AEI;
Wagner, M;
White, DR;
(2019)
A survey of genetic improvement search spaces.
In: López-Ibáñez, M and Auger, A and Stützle, T, (eds.)
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1715-1721).
Association for Computing Machinery (ACM): New York, NY, USA.
|
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Petke, J;
Blot, A;
(2020)
Refining Fitness Functions in Test-Based Program Repair.
In:
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops.
(pp. pp. 13-14).
ACM
|
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Petke, J;
Brownlee, AEI;
(2019)
Software Improvement with Gin: a Case Study.
In: López-Ibáñez, Manuel, (ed.)
Proceedings of the Genetic and Evolutionary Computation Conference - GECCO '19.
(pp. pp. 985-993).
ACM: New York, NY, USA.
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Petke, J;
Brun, Y;
(2019)
Message from the demonstrations track chairs of ICSE 2019.
In:
Proceedings of the 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).
IEEE
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Petke, J;
Gay, G;
(2016)
Message from the workshop chairs.
In: Petke, J and Gay, G, (eds.)
Proceedings of the 9th International Workshop on Search-Based Software Testing.
(pp. vii-viii).
ACM: New York, USA.
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Petke, J;
Langdon, W;
(2019)
Genetic Improvement of Data gives Binary Logarithm from sqrt.
In:
Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO).
(pp. pp. 413-414).
Association for Computing Machinery (ACM): New York, NY, USA.
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Petke, J;
Le Goues, C;
Forrest, S;
Langdon, WB;
(2018)
Genetic Improvement of Software (Dagstuhl Seminar 18052).
In:
Dagstuhl Reports.
(pp. pp. 158-182).
Dagstuhl Publishing
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Petke, J;
Stolee, KT;
Langdon, WB;
Weimer, W;
(2018)
Proceedings of the 4th International Genetic Improvement Workshop, , GI@ICSE 2018, Gothenburg, Sweden, June 2, 2018.
In:
Proceedings of the 4th International Workshop on Genetic Improvement Workshop.
ACM
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Sachi, Lad;
Hanna, Carol;
Petke, Justyna;
(2025)
From Kotlin to Swift and Back: Toward Fully Automated Cross-Language Code Transpilation.
In:
(Proceedings) 8th International Workshop on Advances in Mobile App Analysis.
(In press).
|
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Smigielska, M;
Blot, A;
Petke, J;
(2021)
Empirical Analysis of Mutation Operator Selection Strategies for Genetic Improvement.
In:
2021 IEEE/ACM International Workshop on Genetic Improvement (GI).
IEEE
|
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Sobania, Dominik;
Briesch, Martin;
Hanna, Carol;
Petke, Justyna;
(2023)
An Analysis of the Automatic Bug Fixing Performance of ChatGPT.
In:
Proceedings of the 4th International Workshop on Automated Program Repair (APR 2023).
(pp. pp. 23-30).
IEEE/ACM: Melbourne, Australia.
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Sobania, Dominik;
Geiger, Alina;
Callan, James;
Brownlee, Alexander;
Hanna, Carol;
Moussa, Rebecca;
Zamorano López, Mar;
... Sarro, Federica; + view all
(2023)
Evaluating Explanations for Software Patches Generated by Large Language Models.
In:
Search-Based Software Engineering. SSBSE 2023.
Springer
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Songpetchmongkol, Thanatad;
Blot, Aymeric;
Petke, Justyna;
(2025)
Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination.
In:
2025 IEEE/ACM International Workshop on Genetic Improvement (GI) - Proceedings.
(pp. pp. 35-42).
IEEE: Ottawa, ON, Canada.
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Wang, Jingyuan;
Hanna, Carol;
Petke, Justyna;
(2025)
Large Language Model Based Code Completion is an Effective Genetic Improvement Mutation.
In:
Proceedings of the 2025 IEEE/ACM International Workshop on Genetic Improvement (GI).
(pp. pp. 11-18).
IEEE Computer Society: Ottawa, ON, Canada.
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Weimer, W;
Petke, J;
White, DR;
(2016)
Genetic Improvement 2016 Chairs' Welcome & Organization.
In: Friedrich, T and Neumann, F and Sutton, AM, (eds.)
GECCO '16: Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1129-1130).
Association for Computing Machinery (ACM): New York, NY, USA.
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Williams, David;
Callan, James;
Kirbas, Serkan;
Mechtaev, Sergey;
Petke, Justyna;
Prideaux-Ghee, Thomas;
Sarro, Federica;
(2024)
User-Centric Deployment of Automated Program Repair at Bloomberg.
In:
ICSE SEIP 2024 46th International Conference on Software Engineering, Software Engineering in Practice.
ACM
(In press).
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Zuo, Shengjie;
Blot, Aymeric;
Petke, Justyna;
(2022)
Evaluation of genetic improvement tools for improvement of non-functional properties of software.
In:
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionProceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1956-1965).
Association for Computing Machinery (ACM): New York, NY, USA.
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Working / discussion paper
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Blot, Aymeric;
Petke, Justyna;
(2022)
MAGPIE: Machine Automated General Performance Improvement via Evolution of Software.
ArXiv
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Martinez, Matias;
Kechagia, Maria;
Perera, Anjana;
Petke, Justyna;
Sarro, Federica;
Aleti, Aldeida;
(2022)
Test-based Patch Clustering for Automatically-Generated Patches Assessment.
arXiv
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Conference item
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Petke, J;
Galeotti, JP;
(2017)
Message from the workshop chairs SBST 2017.
Presented at: 2017 IEEE/ACM 10th International Workshop on Search-Based Software Testing (SBST), Buenos Aires, Argentina.
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