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Effectiveness of traditional software metrics for object-oriented systems

David P. Tegarden, Steven D. Sheetz, David E. Monarchi

Open publisher page 66 citations

Abstract

An acceptable measure of software quality must quantify software complexity. Traditional software metrics such as lines of code, software science and cyclomatic complexity are investigated as possible indicators of complexity of object-oriented systems. This research reports the effects of polymorphism and inheritance on the complexity of object-oriented systems are measured by the traditional metrics. The results of this research indicate that traditional metrics are applicable to the measurement of the complexity of object-oriented systems.>

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What this paper is about

An acceptable measure of software quality must quantify software complexity. Traditional software metrics such as lines of code, software science and cyclomatic complexity are investigated as possible indicators of complexity of object-oriented systems. This research reports the effects of polymorphism and inheritance on the complexity of object-oriented systems are measured by the traditional metrics. The results of this research indicate that traditional metrics are applicable to the measurement of the complexity of object-oriented systems.>

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OpenAlex reports 66 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An acceptable measure of software quality must quantify software complexity. Traditional software metrics such as lines of code, software science and cyclomatic complexity are investigated as possible indicators of complexity of object-oriented systems. This research reports the effects of polymorphism and inheritance on the complexity of object-oriented systems are measured by the traditional metrics. The results of this research indicate that traditional metrics are applicable to the measurement of the complexity of object-oriented systems.>

Key concepts: Cyclomatic complexity, Software metric, Computer science, Source lines of code, Software, Software system, Software measurement, Software quality

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