Analysis of test case coverage using data mining technique

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.