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Grammatical Evolution for the Multi-Objective Integration and Test Order Problem

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. Green open access

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Abstract

Search techniques have been successfully applied for solving different software testing problems. However, choosing, implementing and configuring a search technique can be hard tasks. To reduce efforts spent in such tasks, this paper presents an offline hyper-heuristic named GEMOITO, based on Grammatical Evolution (GE). The goal is to automatically generate a Multi-Objective Evolutionary Algorithm (MOEA) to solve the Integration and Test Order (ITO) problem. The MOEAs are distinguished by components and parameters values, described by a grammar. The proposed hyper-heuristic is compared to conventional MOEAs and to a selection hyper-heuristic used in related work. Results show that GEMOITO can generate MOEAs that are statistically better or equivalent to the compared algorithms.

Type: Proceedings paper
Title: Grammatical Evolution for the Multi-Objective Integration and Test Order Problem
Event: Genetic and Evolutionary Computation Conference (GECCO 2016)
Location: Denver, CO
Dates: 20 July 2016 - 24 July 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2908812.2908816
Publisher version: https://doi.org/10.1145/2908812.2908816
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, search based software engineering, multi-objective, grammatical evolution, hyper-heuristic, evolutionary algorithm, GENERATION, HEURISTICS, ALGORITHM
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10089271
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