Recommending improvements to web applications using quality-driven heuristic search

Stephane Vaucher, Samuel Boclinville, Houari Sahraoui, Naji Habra

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Résumé

Planning out maintenance tasks to increase the quality of Web applications can be difficult for a manager. First, it is hard to evaluate the precise effect of a task on quality. Second, quality improvement will generally be the result of applying a combination of available tasks; identifying the best combination can be complicated. We present a general approach to recommend improvements to Web applications. The approach uses a meta-heuristic algorithm to find the best sequence of changes given a quality model responsible to evaluate the fitness of candidate sequences. This approach was tested using a navigability model on 15 different Web pages. The meta-heuristic recommended the best possible sequence for every tested configuration, while being much more efficient than an exhaustive search with respect to execution time.

langue originaleAnglais
titreWeb Information Systems Engineering - WISE 2009
Sous-titre10th International Conference, Proceedings
Pages321-334
Nombre de pages14
Les DOIs
Etat de la publicationNon publié - 2009
Evénement10th International Conference on Web Information Systems Engineering, WISE 2009 - Poznan, Pologne
Durée: 5 oct. 20097 oct. 2009

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5802 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence10th International Conference on Web Information Systems Engineering, WISE 2009
Pays/TerritoirePologne
La villePoznan
période5/10/097/10/09

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