A systematic literature review to identify and classify software requirement errors

  • Authors:

  • Gursimran Singh Walia;Jeffrey C. Carver

  • Affiliations:

  • Mississippi State University, Department of Computer Science and Engineering, 300 Butler Hall, Mississippi State, MS 39762, United States;University of Alabama, Computer Science, Box 870290, 101 Houser Hall, Tuscaloosa, AL 35487-0290, United States

  • Venue:
  • Information and Software Technology
  • Year:
  • 2009

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Abstract

Most software quality research has focused on identifying faults (i.e., information is incorrectly recorded in an artifact). Because software still exhibits incorrect behavior, a different approach is needed. This paper presents a systematic literature review to develop taxonomy of errors (i.e., the sources of faults) that may occur during the requirements phase of software lifecycle. This taxonomy is designed to aid developers during the requirement inspection process and to improve overall software quality. The review identified 149 papers from the software engineering, psychology and human cognition literature that provide information about the sources of requirements faults. A major result of this paper is a categorization of the sources of faults into a formal taxonomy that provides a starting point for future research into error-based approaches to improving software quality.