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A maintainability model for industrial software systems using design level metrics

, , , and . Working Conference on Reverse Engineering, page 248--256. (2000)

Abstract

Software maintenance is a time consuming and expensive phase of a software product's life-cycle. The paper investigates the use of software design metrics to statistically estimate the maintainability of large software systems, and to identify error prone modules. A methodology for assessing, evaluating and, selecting software metrics for predicting software maintainability is presented. In addition, a linear prediction model based on a minimal set of design level software metrics is proposed. The model is evaluated by applying it to industrial software systems

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