Automatic Generation of Detection Algorithms for Design Defects

Moha, Naouel; Guéhéneuc, Yann-Gaël et Pierre Leduc, (2006). « Automatic Generation of Detection Algorithms for Design Defects » (Proceedings of the 21st Conference on Automated Software Engineering (ASE'06), ), sous la dir. de Uchitel, Sebastian et Easterbrook, Steve. pp. 297-300.

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Résumé

Maintenance is recognised as the most difficult and expansive activity of the software development process. Numerous techniques and processes have been proposed to ease the maintenance of software. In particular, several authors published design defects formalising ``bad" solutions to recurring design problems (e.g., anti-patterns, code smells). We propose a language and a framework to express design defects synthetically and to generate detection algorithms automatically. We show that this language is sufficient to describe some design defects and to generate detection algorithms, which have a good precision. We validate the generated algorithms on several programs.

Type:	Communication, article de congrès ou colloque
Informations complémentaires:	Ptidej Team, GEODES Lab, Department of Informatics and Operations Research, University of Montreal, Quebec, Canada
Déposé par:	Naouel Moha
Date de dépôt:	29 janv. 2013 14:12
Dernière modification:	01 nov. 2014 02:24
Adresse URL :	http://archipel.uqam.ca/id/eprint/5168

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