Regression test selection for Java software

  • Authors:

  • Mary Jean Harrold;James A. Jones;Tongyu Li;Donglin Liang;Alessandro Orso;Maikel Pennings;Saurabh Sinha;S. Alexander Spoon;Ashish Gujarathi

  • Affiliations:

  • College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;College of Computing, Georgia Institute of Technology, Atlanta, GA;Citrix Systems, Inc, Ft., Lauderdale, FL

  • Venue:
  • OOPSLA '01 Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
  • Year:
  • 2001

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Abstract

Regression testing is applied to modified software to provide confidence that the changed parts behave as intended and that the unchanged parts have not been adversely affected by the modifications. To reduce the cost of regression testing, test cases are selected from the test suite that was used to test the original version of the software---this process is called regression test selection. A safe regression-test-selection algorithm selects every test case in the test suite that may reveal a fault in the modified software. Safe regression-test-selection technique that, based on the use of a suitable representation, handles the features of the Java language. Unlike other safe regression test selection techniques, the presented technique also handles incomplete programs. The technique can thus be safely applied in the (very common) case of Java software that uses external libraries of components; the analysis of the external code is note required for the technique to select test cases for such software. The paper also describes RETEST, a regression-test-selection algorithm can be effective in reducing the size of the test suite.