Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search

Authors:
Stephane Vaucher;Samuel Boclinville;Houari Sahraoui;Naji Habra
Affiliations:
DIRO, Université de Montréal, Québec, Canada;PReCISE Research Center, FUNDP, University of Namur, Belgium;DIRO, Université de Montréal, Québec, Canada;PReCISE Research Center, FUNDP, University of Namur, Belgium
Venue:
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Year:
2009

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Abstract

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.