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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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 |
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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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