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Adapting software quality models: Practical challenges, approach, and first empirical results

 
: Kläs, M.; Lampasona, C.; Münch, J.

:

Biffl, S. ; Institute of Electrical and Electronics Engineers -IEEE-; European Organisation for Information Technology and Microelectronics -EUROMICRO-:
37th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2011. Proceedings : 30 August - 2 September 2011, Oulu, Finland
Los Alamitos, Calif.: IEEE Computer Society Press, 2011
ISBN: 978-1-4577-1027-8 (Print)
ISBN: 978-0-7695-4488-5
pp.341-348
Conference on Software Engineering and Advanced Applications (SEAA) <37, 2011, Oulu>
English
Conference Paper
Fraunhofer IESE ()
software quality; empirical study; meta model; quality model; QuaMoCo; customization

Abstract
Measuring and evaluating software quality has become a fundamental task. Many models have been proposed to support stakeholders in dealing with software quality. However, in most cases, quality models do not fit perfectly for the target application context. Since approaches for efficiently adapting quality models are largely missing, many quality models in practice are built from scratch or reuse only high-level concepts of existing models. We present a tool-supported approach for the efficient adaptation of quality models. An initial empirical investigation indicates that the quality models obtained applying the proposed approach are considerably more consistently and appropriately adapted than those obtained following an ad-hoc approach. Further, we could observe that model adaptation is significantly more efficient (~factor 8) when using this approach.

: http://publica.fraunhofer.de/documents/N-208652.html