Article

Assessing quality processes with ODC COQUALMO

Authors:

Raymond Madachy,

Barry BoehmAuthors Info & Claims

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

Pages 198 - 209

Published: 10 May 2008 Publication History

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.

References

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Chulani, S., Boehm, B.: Modeling software defect introduction and removal: COQUALMO(COnstructive QUALity MOdel), University of Southern California Center forSoftware Engineering, USC-CSE Technical Report 99-510 (1999).

[2]

Boehm, B., Abts, C., Brown, A., Chulani, S., Clark, B., Horowitz, E., Madachy, R., Reifer,D., Steece, B.: Software Cost Estimation with COCOMO II. Prentice-Hall, EnglewoodCliffs (2000).

Digital Library

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Biffl, S., Aurum, A., Boehm, B., Erdogmus, H., Grünbacher, P. (eds.): Value-Based SoftwareEngineering. Springer, Heidelberg (2005).

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Boehm, B.: Software Engineering Economics. Prentice-Hall, Englewood Cliffs (1981).

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Chillarege, R., Bhandari, I., Chaar, J., Halliday, M., Moebus, D., Ray, B., Wong, M.: OrthogonalDefect Classification - A Concept for In-Process Measurements. IEEE Transactionson Software Engineering 18(11), 943-956 (1992).

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Lutz, R., Mikulski, I.: Final Report: Adapting ODC for Empirical Analysis of Pre-Launch Anomalies, version 1.2, NASA Jet Propulsion Laboratories, JPL Caltech report (2003).

[7]

Madachy, R.: Risk Model Calibration Report, USC Center for Systems and Software Engineering,Report to NASA AMES (2006).

[8]

Madachy, R.: JPL Delphi Survey for V&V Defect Detection Efficiencies, USC Center forSystems and Software Engineering, Report to NASA (2006).

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Madachy, R.: Calibration of ODC COQUALMO to Predict V&V Effectiveness, USCCenter for Systems and Software Engineering, Report to NASA AMES (2007).

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Madachy, R.: Software Process Dynamics. IEEE-Wiley, Hoboken NJ (2008).

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Menzies, T., Richardson, J.: XOMO: Understanding Development Options for Autonomy.In: 20th International Forum on COCOMO and Software cost Modeling, USC (2005).

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Port, D., Kazman, R., Polo, B., Nakao, H., Katahira, M.: Practicing What is Preached: 80-20 Rules for Strategic IV&V Assessment, Center for Strategic Software Engineering,Technical Report, CSSE-TR20051025, University of Hawaii at Manoa (2005).

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Feather, M., Cornford, S.: Quantitative Risk-based Requirements Reasoning. RequirementsEngineering 8(4), 242-265 (2005).

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Feather, M., Cornford, S., Hicks, K., Johnson, R.: Applications of Tool Support for Risk-informed Requirements Reasoning. Computer Systems Science and Engineering 20(1), 5-17 (2005).

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Madachy, R., Boehm, B., Richardson, J., Feather, M., Menzies, T.: Value-Based Design ofSoftware V&V Processes for NASA Flight Projects. In: AIAA Space 2007 Conference(2007).

Cited By

Wang JWang Q(2016)Analyzing and predicting software integration bugs using network analysis on requirements dependency networkRequirements Engineering10.1007/s00766-014-0215-x21:2(161-184)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s00766-014-0215-x
Morrison PBertolino ACanfora GElbaum S(2015)A security practices evaluation frameworkProceedings of the 37th International Conference on Software Engineering - Volume 210.5555/2819009.2819218(935-938)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2819009.2819218
van der Spek PVerhoef C(2014)Balancing Time-to-Market and Quality in Embedded SystemsSystems Engineering10.1002/sys.2126117:2(166-192)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1002/sys.21261
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Information & Contributors

Information

Published In

cover image Guide Proceedings

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

May 2008

421 pages

ISBN:3540795871

Editors:
Qing Wang
Chinese Academy of Sciences, Institute of Software, Beijing, China
,
Dietmar Pfahl
Simula Research Laboratory, Lysaker, Norway
,
David M. Raffo
Portland State University, Maseeh College of Engineering and Computer Science, Portland, OR

Sponsors

ISPA: Int'l Software Process Assoc.
iTechs: ISCAS Laboratory for Internet Software Technologies
Chinese Academy of Sciences

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 May 2008

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Cited By

Wang JWang Q(2016)Analyzing and predicting software integration bugs using network analysis on requirements dependency networkRequirements Engineering10.1007/s00766-014-0215-x21:2(161-184)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s00766-014-0215-x
Morrison PBertolino ACanfora GElbaum S(2015)A security practices evaluation frameworkProceedings of the 37th International Conference on Software Engineering - Volume 210.5555/2819009.2819218(935-938)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2819009.2819218
van der Spek PVerhoef C(2014)Balancing Time-to-Market and Quality in Embedded SystemsSystems Engineering10.1002/sys.2126117:2(166-192)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1002/sys.21261
Dubey AAggarwal SPrabhakar TVarma VPadmanabhuni S(2012)Towards adopting ODC in automation application development projectsProceedings of the 5th India Software Engineering Conference10.1145/2134254.2134282(153-156)Online publication date: 22-Feb-2012
https://dl.acm.org/doi/10.1145/2134254.2134282

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