Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search

被引：0
|
作者：
Vaucher, Stephane [1 ]
Boclinville, Samuel [2 ]
Sahraoui, Houari [1 ]
Habra, Naji [2 ]
机构：
[1] Univ Montreal, DIRO, Quebec City, PQ, Canada
[2] Univ Namur, FUNDP, PReCISE Res Ctr, Namur, Belgium
来源：
WEB INFORMATION SYSTEMS ENGINEERING - WISE 2009, PROCEEDINGS | 2009年 / 5802卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：321 / +
页数：3
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