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WISE
2009
Springer

Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search

9 years 5 months ago
Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search
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 time-consuming. We present a general approach to recommend improvements to Web applications. The approach uses a meta-heuristic algorithm to find 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.
Stéphane Vaucher, Samuel Boclinville, Houar
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where WISE
Authors Stéphane Vaucher, Samuel Boclinville, Houari A. Sahraoui, Naji Habra
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