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

页码：321 / +

页数：3

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