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
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