Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Characterizing and modeling the cost of rework in a library of reusable software components


Association for Computing Machinery -ACM-, Special Interest Group on Software Engineering -SIGSOFT-; IEEE Computer Society, Technical Council on Software Engineering:
International Conference on Software Engineering 1997. Proceedings : May 17 - 23, 1997, Boston, Massachusetts, USA, ICSE 97
Los Alamitos: IEEE Computer Society Press, 1997
ISBN: 0-8186-7817-8
ISBN: 0-89791-914-9
ISBN: 0-8186-7818-6
S.282-291 : Ill., Lit.
International Conference on Software Engineering (ICSE) <19, 1997, Boston>
Fraunhofer IESE ()
classification models; machine learning; prediction models; software cost; software maintenance; software metrics; software process improvement; software reuse; software rework

In this paper we characterize and model the cost of rework in a Component Factory (CF) organization. A CF is responsible for developing and packaging reusable software components. Data was collected on corrective maintenance activities for the Generalized Support Software reuse asset library located at the Flight Dynamics Division of NASA's GSFC. We then constructed a predictive model of the cost of rework using the C4.5 system for generating a logical classification model. The predictor variables for the model are measures of internal software product attributes. The model demonstrates good prediction accuracy, and can be used by managers to allocate resources for corrective maintenance activities. Furthermore, we used the model to generate proscriptive coding guidelines to improve programming practices so that the cost of rework can be reduced in the future. The general approach we have used is applicable to other environments.