An empirical evaluation of system and regression testing

  • Authors:

  • Mechelle Gittens;Hanan Lutfiyya;Michael Bauer;David Godwin;Yong Woo Kim;Pramod Gupta

  • Affiliations:

  • University of Western Ontario;University of Western Ontario;University of Western Ontario;IBM;IBM;IBM

  • Venue:
  • CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 2002

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Abstract

We had the opportunity to conduct an empirical study in the context of the testing environment for a large commercial product. The particular goal of the organization for which this study was done, was to gain a strong understanding of how particular aspects of their testing practice impact on the quality of the released products. In this paper we present some of the results of that research as it relates to the verification of intuitive claims of those in this industrial environment, and documented claims from other research about the relationships between several parameters. The parameters of interest to the organization were: breadth of system and regression testing of software components defined by code coverage, number of defects discovered by an in-house test team prior to the release of those software components, and number of defects discovered by the customer in the field subsequent to the release of those software components.