• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Buch
  4. Optimizing cost and quality by integrating inspection and test processes
 
  • Details
  • Full
Options
2011
Report
Title

Optimizing cost and quality by integrating inspection and test processes

Abstract
Inspections and testing are two of the most commonly performed software quality assurance processes today. Typically, these processes are applied in isolation, which, however, fails to exploit the benefits of systematically combining and integrating them. Expected benefits of such process integration are higher defect detection rates or reduced quality assurance effort. Moreover, when conducting testing without any prior information regarding the system's quality, it is often unclear which parts or which defect types should be prioritized. Existing approaches do not explicitly use information from inspections in a systematical way to focus testing processes. In this article, we present an integrated two-stage approach that routes inspection data to test processes in order to prioritize code classes and defect types. While an initial version of the approach focused on prioritizing code classes, this article focuses on the prioritization of defect types for testing. Results from a case study where the approach was applied on the code level show that those defect types could be prioritized before the testing that afterwards actually showed up most often during the test process. In addition, an overview of related work and an outlook on future research directions are given.
Author(s)
Elberzhager, Frank  
Münch, Jürgen
Rombach, H. Dieter
Freimut, Bernd
Publishing Place
Kaiserslautern
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • verification

  • inspection

  • testing

  • quality assurance strategy

  • case study

  • orthogonal defect classification

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024