The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

A case study of the class firewall regression test selection technique on a large scale distributed software system

Author

Summary, in English

Regression testing is expensive and may consume much of organizations’ software development budgets. Thus, it is of interest to reduce the total time devoted to test execution by using test selection techniques. Many techniques have been proposed but few have been evaluated on real-world, large scale systems. In this paper we report on an empirical evaluation of using the class firewall regression test selection technique, in combination with scenario testing, on a large scale industrial software system using the Java byte code in the analysis. The study was performed on a large complex distributed software system in one of Sweden’s largest banks. Effects of using scenario testing together with regression test selection are reported. The results are that not all test cases were selected by the class firewall selection technique. Using scenario testing, where test cases are dependent, affects the number of test cases selected, as do the location and number of changes in the system.

Publishing year

2005

Language

English

Pages

72-81

Publication/Series

Proceedings of the International Symposium on Empirical Software Engineering

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Science

Keywords

  • authorisation
  • Java
  • distributed processing
  • program testing
  • regression analysis

Conference name

International Symposium on Empirical Software Engineering, 2005.

Conference date

2005-11-17 - 2005-11-18

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-9507-7