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Giovani Guizzo
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2020 – today
- 2024
- [j9]Giovani Guizzo, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman:
Mutation analysis for evaluating code translation. Empir. Softw. Eng. 29(1): 19 (2024) - 2023
- [j8]Giovani Guizzo, Francesco Califano, Federica Sarro, Filomena Ferrucci, Mark Harman:
Inferring test models from user bug reports using multi-objective search. Empir. Softw. Eng. 28(4): 95 (2023) - [j7]Giovani Guizzo, Sebastiano Panichella:
Fuzzing vs SBST: Intersections & Differences. ACM SIGSOFT Softw. Eng. Notes 48(1): 105-107 (2023) - [c18]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23). GECCO Companion 2023: 37-38 - [c17]Alessio Gambi, Giovani Guizzo, Sebastiano Panichella:
Message from SBFT 2023 Program Chairs. SBFT 2023: 1 - 2022
- [j6]Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia R. Vergilio:
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies. IEEE Trans. Software Eng. 48(3): 803-818 (2022) - [c16]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction. ESEM 2022: 159-170 - [c15]Dario Asprone, Jonathan Metzman, Abhishek Arya, Giovani Guizzo, Federica Sarro:
Comparing Fuzzers on a Level Playing Field with FuzzBench. ICST 2022: 302-311 - 2021
- [j5]Giovani Guizzo, Thainá Mariani, Silvia Regina Vergilio, Aurora T. R. Pozo:
An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem. J. Softw. Eng. Res. Dev. 9: 4:1-4:18 (2021) - [c14]Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman:
Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection. ICSE (Companion Volume) 2021: 220 - [c13]Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman:
Enhancing Genetic Improvement of Software with Regression Test Selection. ICSE 2021: 1323-1333 - [c12]Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro:
Refining Fitness Functions for Search-Based Automated Program Repair - A Case Study with ARJA and ARJA-e. SSBSE 2021: 159-165 - [i1]Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia Regina Vergilio:
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies. CoRR abs/2103.07241 (2021) - 2020
- [j4]Thelma Elita Colanzi, Wesley K. G. Assunção, Silvia R. Vergilio, Paulo Roberto Farah, Giovani Guizzo:
The Symposium on Search-Based Software Engineering: Past, Present and Future. Inf. Softw. Technol. 127: 106372 (2020) - [j3]Giovani Guizzo, Silvia R. Vergilio:
A pattern-driven solution for designing multi-objective evolutionary algorithms. Nat. Comput. 19(3): 481-494 (2020) - [c11]Giovani Guizzo, Federica Sarro, Mark Harman:
Cost measures matter for mutation testing study validity. ESEC/SIGSOFT FSE 2020: 1127-1139 - [c10]Mingyi Lim, Giovani Guizzo, Justyna Petke:
Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software. SSBSE 2020: 188-203
2010 – 2019
- 2019
- [j2]Giovani Guizzo, Thelma Elita Colanzi, Silvia Regina Vergilio:
Applying design patterns in the search-based optimization of software product line architectures. Softw. Syst. Model. 18(2): 1487-1512 (2019) - [c9]Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Paulo Roberto Farah, Silvia Regina Vergilio, Giovani Guizzo:
A Review of Ten Years of the Symposium on Search-Based Software Engineering. SSBSE 2019: 42-57 - 2017
- [j1]Giovani Guizzo, Silvia R. Vergilio, Aurora T. R. Pozo, Gian Mauricio Fritsche:
A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem. Appl. Soft Comput. 56: 331-344 (2017) - [c8]Giovani Guizzo, Mosab Bazargani, Matheus Paixão, John H. Drake:
A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava. SSBSE 2017: 168-174 - 2016
- [c7]Giovani Guizzo, Silvia R. Vergilio:
Metaheuristic Design Pattern: Visitor for Genetic Operators. BRACIS 2016: 157-162 - [c6]Thainá Mariani, Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo:
Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. GECCO 2016: 1069-1076 - [c5]Jackson A. Prado Lima, Giovani Guizzo, Silvia R. Vergilio, Alan P. C. Silva, Helson L. Jakubovski Filho, Henrique V. Ehrenfried:
Evaluating Different Strategies for Reduction of Mutation Testing Costs. SAST 2016: 4:1-4:10 - 2015
- [c4]Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo:
Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem. BRACIS 2015: 1-6 - [c3]Giovani Guizzo, Gian Mauricio Fritsche, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo:
A Hyper-Heuristic for the Multi-Objective Integration and Test Order Problem. GECCO 2015: 1343-1350 - 2014
- [c2]Giovani Guizzo, Thelma Elita Colanzi, Silvia Regina Vergilio:
A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design. SSBSE 2014: 77-91 - 2013
- [c1]Giovani Guizzo, Thelma Elita Colanzi, Silvia Regina Vergilio:
A Feasibility Analysis for the Application of Design Patterns in Search Based Product Line Design. SCCC 2013: 116-120
Coauthor Index
aka: Silvia R. Vergilio
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