eprintid: 10131840
rev_number: 14
eprint_status: archive
userid: 608
dir: disk0/10/13/18/40
datestamp: 2021-07-29 13:59:20
lastmod: 2021-09-17 22:31:34
status_changed: 2021-07-29 13:59:20
type: article
metadata_visibility: show
creators_name: Guizzo, G
creators_name: Mariani, T
creators_name: Vergilio, SR
creators_name: Pozo, ATR
title: An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
note: Copyright (c) 2021 Thaina Mariani, Giovani Guizzo, Silvia Regina Vergilio, Aurora Pozo. This work is licensed under a Creative Commons Attribution 4.0 International License
abstract: Multi-Objective Evolutionary Algorithms (MOEAs) have been successfully applied to solve hard real software engineering problems. However, to choose and design a MOEA is considered a difficult task, since there are several parameters and components to be configured. These aspects directly impact the generated solutions and the performance of MOEAs. In this sense, this paper proposes an approach for the automatic generation of MOEAs applied to the Integration and Test Order (ITO) problem. Such a problem refers to the generation of optimal sequences of units for integration testing. The approach includes a set of parameters and components of different MOEAs, and is implemented with two design algorithms: Grammatical Evolution (GE) and Iterated Racing (irace). Evaluation results are presented, comparing the MOEAs generated by both design algorithms. Furthermore, the generated MOEAs are compared to two well-known MOEAs used in the literature to solve the ITO problem. Results show that the MOEAs generated with GE and irace perform similarly, and both outperform traditional MOEAs. The approach can reduce efforts spent to design and configure MOEAs, and serves as basis for implementing solutions to other software engineering problems.
date: 2021-04-05
date_type: published
official_url: https://doi.org/10.5753/jserd.2021.816
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1870481
doi: 10.5753/jserd.2021.816
lyricists_name: Guizzo, Giovani
lyricists_id: GGUIZ78
actors_name: Guizzo, Giovani
actors_id: GGUIZ78
actors_role: owner
full_text_status: public
publication: Journal of Software Engineering Research and Development
volume: 9
pagerange: 1-18
citation:        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 <https://doi.org/10.5753/jserd.2021.816>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10131840/1/816-Article-5996-1-10-20210405.pdf