Résultat de recherche par an
Résultat de recherche par an
Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie Van Deursen, Annibale Panichella
Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque
Evolutionary-based crash reproduction techniques aid developers in their debugging practices by generating a test case that reproduces a crash given its stack trace. In these techniques, the search process is typically guided by a single search objective called Crash Distance. Previous studies have shown that current approaches could only reproduce a limited number of crashes due to a lack of diversity in the population during the search. In this study, we address this issue by applying Multi-Objectivization using Helper-Objectives (MO-HO) on crash reproduction. In particular, we add two helper-objectives to the Crash Distance to improve the diversity of the generated test cases and consequently enhance the guidance of the search process. We assessed MO-HO against the single-objective crash reproduction. Our results show that MO-HO can reproduce two additional crashes that were not previously reproducible by the single-objective approach.
langue originale | Anglais |
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titre | GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion |
Editeur | ACM Press |
Pages | 309-310 |
Nombre de pages | 2 |
ISBN (Electronique) | 9781450371278 |
Les DOIs | |
Etat de la publication | Publié - 8 juil. 2020 |
Modification externe | Oui |
Evénement | 2020 Genetic and Evolutionary Computation Conference, GECCO 2020 - Cancun, Mexique Durée: 8 juil. 2020 → 12 juil. 2020 |
Nom | GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion |
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Une conférence | 2020 Genetic and Evolutionary Computation Conference, GECCO 2020 |
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Pays/Territoire | Mexique |
La ville | Cancun |
période | 8/07/20 → 12/07/20 |
Résultats de recherche: Forme non textuelle › Logiciel
Derakhshanfar, P. (Créateur), Devroey, X. (Créateur) & Soltani, M. (Contributeur), Zenodo, 26 avr. 2020
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