Tool supported detection and judgment of nonconformance in process execution

  • Authors:

  • Nico Zazworka;Victor R. Basili;Forrest Shull

  • Affiliations:

  • Department of Computer Science University of Maryland College Park, USA;Department of Computer Science University of Maryland College Park, USA;Fraunhofer Center for Experimental Software Engineering Maryland College Park, USA

  • Venue:
  • ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
  • Year:
  • 2009

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Abstract

In the past decades the Software Engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and non functional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool-supported approach that uses process nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process nonconformance that provide useful insight to the project manager.