As Web sites becoming a fundamental component of businesses, quality of service will be one of the top management concerns. Users, normally, does not care about site failures, traffic jams, network bandwidth [1], or other indicators of system failures. To an online customer, quality of service means fast, predictable response service, level of a Web site noted in a real time. User measures the quality by response time, availability, reliability, predictability, and cost. Poor quality implies that the customer will no longer visit the site and hence the organization may loose business. The issues that affect the quality are broken pages and faulty images, CGI-bin error messages, complex colour combinations, no back link, multiple and frequent links, etc. So we try to build a good program that can scan Web site for broken links, broken images, broken pages and other common Web site faults. As Web site cannot test as a whole in one attempt we rely on decomposing the behavior of the Web site into testable components and mapping these components onto testable objects. Moreover we verify our method by using Jmeter tool [2] to measure the performance of Web, which indicate that broken components on a Web site has a bad effect in its performance.
[1]
Baowen Xu,et al.
Website evolution based on statistic data
,
2003,
The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings..
[2]
Xu Bao.
A Survey of Web Testing
,
2003
.
[3]
Yasufumi Toyoshima,et al.
Engineering on the Internet for Global Software Production
,
1999,
Computer.
[4]
Ralph Barker,et al.
Optimizing internet bandwidth
,
2000
.
[5]
R. Pressman.
Software Engineering: a Practioner''s approach
,
1987
.
[6]
Paolo Tonella,et al.
Web site analysis: structure and evolution
,
2000,
Proceedings 2000 International Conference on Software Maintenance.
[7]
Jeff Tian,et al.
Measuring and Modeling Usage and Reliability for Statistical Web Testing
,
2001,
IEEE Trans. Software Eng..
[8]
Virgílio A. F. Almeida,et al.
Capacity planning for web performance: metrics
,
1998
.