Browse by UCL people
Group by: Type | Date
Number of items: 17.
2023
Guizzo, Giovani;
Califano, Francesco;
Sarro, Federica;
Ferrucci, Filomena;
Harman, Mark;
(2023)
Inferring Test Models from User Bug Reports Using Multi-Objective Search.
Empirical Software Engineering: An international journal
10.1007/s10664-023-10333-8.
(In press).
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2022
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Asprone, Dario;
Metzman, Jonathan;
Arya, Abhishek;
Guizzo, Giovani;
Sarro, Federica;
(2022)
Comparing Fuzzers on a Level Playing Field with FuzzBench.
In:
Proceedings of the International Conference on Software Testing, ICST.
IEEE
(In press).
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2021
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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;
Mariani, T;
Vergilio, SR;
Pozo, ATR;
(2021)
An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem.
Journal of Software Engineering Research and Development
, 9
pp. 1-18.
10.5753/jserd.2021.816.
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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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2020
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Colanzi, TE;
Assunção, WKG;
Vergilio, SR;
Farah, PR;
Guizzo, G;
(2020)
The Symposium on Search-Based Software Engineering: Past, Present and Future.
Information and Software Technology
, 127
, Article 106372. 10.1016/j.infsof.2020.106372.
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Guizzo, G;
Sarro, F;
Harman, M;
(2020)
Cost Measures Matter for Mutation Testing Study Validity.
In:
Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software EngineeringNovember 2020 (ESEC/FSE 2020).
ACM: Newyork, USA.
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Guizzo, G;
Sarro, F;
Krinke, J;
Vergilio, SR;
(2020)
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies.
IEEE Transactions on Software Engineering
10.1109/TSE.2020.3002496.
(In press).
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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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2019
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Colanzi, TE;
Assunção, WKG;
Farah, PR;
Vergilio, SR;
Guizzo, G;
(2019)
A Review of Ten Years of the Symposium on Search-Based Software Engineering.
In: Nejati, S and Gay, G, (eds.)
SSBSE 2019: Search-Based Software Engineering.
(pp. pp. 42-57).
Springer: Cham, Switzerland.
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Guizzo, G;
Colanzi, TE;
Vergilio, SR;
(2019)
Applying design patterns in the search-based optimization of software product line architectures.
Software & Systems Modeling
, 18
(2)
pp. 1487-1512.
10.1007/s10270-017-0614-9.
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2018
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Guizzo, G;
Vergilio, SR;
(2018)
A pattern-driven solution for designing multi-objective evolutionary algorithms.
Natural Computing
10.1007/s11047-018-9677-y.
(In press).
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2017
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Guizzo, G;
Bazargani, M;
Paixao, M;
Drake, JH;
(2017)
A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava.
In: Menzies, T and Petke, J, (eds.)
Search Based Software Engineering: 9th International Symposium, SSBSE 2017, Paderborn, Germany, September 9-11, 2017, Proceedings.
(pp. pp. 168-174).
Springer: Padernborn, Germany.
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Guizzo, G;
Vergilio, SR;
(2017)
Metaheuristic Design Pattern: Visitor for Genetic Operators.
In:
Proceedings of the 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).
(pp. pp. 157-162).
IEEE: Recife, Brazil.
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Guizzo, G;
Vergilio, SR;
Pozo, ATR;
Fritsche, GM;
(2017)
A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem.
Applied Soft Computing
, 56
pp. 331-344.
10.1016/j.asoc.2017.03.012.
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2016
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Mariani, T;
Guizzo, G;
Vergilio, SR;
Pozo, ATR;
(2016)
Grammatical Evolution for the Multi-Objective Integration and Test Order Problem.
In:
Proceedings of the Genetic and Evolutionary Computation Conference 2016.
(pp. pp. 1069-1076).
ACM: New York, NY, USA.
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