Assessing quality processes with ODC COQUALMO

  • Authors:

  • Raymond Madachy;Barry Boehm

  • Affiliations:

  • University of Southern California, Center for Systems and Software Engineering, Los Angeles, CA;University of Southern California, Center for Systems and Software Engineering, Los Angeles, CA

  • Venue:
  • ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
  • Year:
  • 2008

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Abstract

Software quality processes can be assessed with the Orthogonal DefectClassification COnstructive QUALity MOdel (ODC COQUALMO) thatpredicts defects introduced and removed, classified by ODC types. Using parametriccost and defect removal inputs, static and dynamic versions of themodel help one determine the impacts of quality strategies on defect profiles,cost and risk. The dynamic version provides insight into time trends and issuitable for continuous usage on a project. The models are calibrated with empiricaldata on defect distributions, introduction and removal rates; and supplementedwith Delphi results for detailed ODC defect detection efficiencies. Thiswork has supported the development of software risk advisory tools for NASAflight projects. We have demonstrated the integration of ODC COQUALMOwith automated risk minimization methods to design higher value quality processes,in shorter time and with fewer resources, to meet stringent quality goalson projects.