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<p>We present a case study of the use of a software process improvement method which is based on the analysis of defect data. The first step of the method is the classification of software defects using attributes which relate defects to specific process activities. Such classification captures the semantics of the defects in a fashion which is useful for process correction. The second step utilizes a machine-assisted approach to data exploration which allows a project team to discover such knowledge from defect data as is useful for process correction. We show that such analysis of defect data can readily lead a project team to improve their process during development.</p>
case study; software process improvement; defect data analysis; software defects; attributes; process activities; semantics; process correction; machine-assisted approach; data exploration; project team; software engineering; defect-based process improvement; in-process metrics; knowledge discovery; data handling; project management; software engineering; software metrics

J. Chaar, E. Tarver, D. Brown, R. Chillarege, I. Bhandari and M. Halliday, "A Case Study of Software Process Improvement During Development," in IEEE Transactions on Software Engineering, vol. 19, no. , pp. 1157-1170, 1993.
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