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

: Basili, V.R.; Condon, S.; Emam, K. el; Hendrick, R.B.; Melo, W.L.

Fulltext urn:nbn:de:0011-px-447467 (123 KByte PDF)
MD5 Fingerprint: ac9834aba56741ee77e2f6c49ae6f125
Created on: 10.08.2000

Kaiserslautern, 1997
IESE-Report, 042.97/E
Reportnr.: IESE-Report 042.97/E
Report, Electronic Publication
Fraunhofer IESE ()
classification models; prediction models; software metrics; software process improvement

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.