Impact of Requirements Quality on Project Success or Failure

  • Tetsuo Tamai
  • Mayumi Itakura Kamata
Conference paper

DOI: 10.1007/978-3-540-92966-6_15

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 14)
Cite this paper as:
Tamai T., Kamata M.I. (2009) Impact of Requirements Quality on Project Success or Failure. In: Lyytinen K., Loucopoulos P., Mylopoulos J., Robinson B. (eds) Design Requirements Engineering: A Ten-Year Perspective. Lecture Notes in Business Information Processing, vol 14. Springer, Berlin, Heidelberg


We are interested in the relationship between the quality of the requirements specifications for software projects and the subsequent outcome of the projects. To examine this relationship, we investigated 32 projects started and completed between 2003 and 2005 by the software development division of a large company in Tokyo. The company has collected reliable data on requirements specification quality, as evaluated by software quality assurance teams, and overall project performance data relating to cost and time overruns. The data for requirements specification quality were first converted into a multiple-dimensional space, with each dimension corresponding to an item of the recommended structure for software requirements specifications (SRS) defined in IEEE Std. 830-1998. We applied various statistical analysis methods to the SRS quality data and project outcomes.

The results showed some interesting relationships between the quality of the requirements and the success or failure of projects; for example, (1) a relatively small set of SRS items had a strong impact on whether a project succeeded or failed; (2) descriptions of SRS in normal projects tended to be balanced; (3) SRS descriptions in Section 1, which were expected to include the purpose, overview and general context for SRS, were comprehensive for normal projects but inadequate for projects that finished with overruns; and (4) when the descriptions of SRS in Section 1 were inadequate, while those of the expected functions and product perspective were comprehensive, the project tended to end up with cost overruns.


Requirements quality project success statistical analysis 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tetsuo Tamai
    • 1
  • Mayumi Itakura Kamata
    • 2
  1. 1.The University of Tokyo 
  2. 2.Tokyo Research LaboratoryIBM Research 

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