DocumentCode :
1696072
Title :
Analysis of test case coverage using data mining technique
Author :
Indumathi, C.P. ; Galeebathullah, B. ; Pandithurai, O.
Author_Institution :
Dept. of Comput. Sci. & Eng., Anna Univ. of Technol., Tiruchirappalli, India
fYear :
2010
Firstpage :
806
Lastpage :
809
Abstract :
Coverage analysis defines the tracing of a program by test cases. It also helps in the testing process by finding the areas of a program not exercised by a set of test cases. Introducing new test cases to increase coverage, and determine the quantitative measure of the code, which is an indirect measure of quality. Coverage analysis provides more benefit when applied to an application that makes a lot of decisions rather than data-centric applications, such as a database application. This paper will discuss the issues that make test case coverage analysis a complicated task and how those issues are being addressed. We will describe the technique for improving the maximum coverage for test case of a program by using a data mining technique called Association rule Mining.
Keywords :
data mining; program testing; association rule mining; coverage analysis; data mining technique; test case coverage; Association rules; Correlation; Programming; Software; Software testing; Association-rule; Software testing; coverage; test case; test suite;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4244-7769-2
Type :
conf
DOI :
10.1109/ICCCCT.2010.5670732
Filename :
5670732
Link To Document :
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