Information Technology Reference
In-Depth Information
The impact of web site changes and related fault injections
: Our testing and
reliability analyses in this chapter assumed the stability of the web sites under
study, and our evaluation of reliability growth potential additionally assumed
that none or few new faults were injected. Therefore, a direct generalization of
this study is to study the impact of web changes and injection of new faults on
test effectiveness and web reliability.
Detailed defect analysis and risk identification for reliability improvement
:Web
error distribution is highly uneven, as shown in this chapter and in related
studies
[25,28,52]
. To analyze them further, we plan to adapt detailed defect
classification and analysis schemes such as ODC (orthogonal defect classifica-
tion)
[10]
for traditional systems to the web environment. We also plan to apply
appropriate risk identification techniques
[46]
and related models
[45,53]
to
identify high-defect or low-reliability areas for focused web software reliability
improvement.
In addition, we also plan to identify better existing tools, develop new tools and
utility programs, and integrate them to provide better implementation support for our
strategy. All these efforts should lead us to a more practical and effective approach
to achieve and maintain high reliability for web applications.
A
CKNOWLEDGEMENTS
The work reported in this chapter was supported in part by NSF grant 0204345 and
THECB/ATP grant 003613-0030-2001. We thank our system administrator, Merlin
Wilkerson, for his help in gathering and interpreting the web logs for the SMU/SEAS
web site, and Dirk Mueller from the KDE project who helped us obtain and interpret
the access logs for the KDE web site and deal with various data problems. We also
thank Chaitanya Kallepalli and Omar Shahdad for their previous work in developing
many of the Perl programs used in this study, and A. Günes Koru and Zhao Li for
their help and suggestions.
R
EFERENCES
[1] Arlitt M.F., Williamson C.L., “Internet web servers: Workload characterization and per-
formance implications”,
IEEE/ACM Trans. Networking
5
(5) (Oct. 1997) 631-645.
[2] Avritzer A., Weyuker E.J., “The automatic generation of load test suites and the as-
sessment of the resulting software”,
IEEE Trans. Software Engrg.
21
(9) (Sept. 1995)
705-716.
