Sampson Gholston

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Empirical validation of software metrics suites to predict fault proneness in object-oriented (OO) components is essential to ensure their practical use in industrial settings. In this paper, we empirically validate three OO metrics suites for their ability to predict software quality in terms of fault-proneness: the Chidamber and Kemerer (CK) metrics,(More)
It has been stated that there is very less variability in cohesion, coupling and complexity of software packages within specific domains such as Graphical User Interface (GUI). This implies that software metrics show low variability within single domain and high variability between domains. This paper investigates the domain issue by creating hierarchical(More)
This paper presents Percentage of Shared Ideas (PSI), a metric for measuring the semantic cohesion of a class in object-oriented software. PSI uses information in a knowledge base to quantify the cohesiveness of a class's task in the problem domain, allowing a clearer view of cohesion than code syntax provides. Furthermore, this metric is independent of(More)
1. Tu Honglei1, Sun Wei1, Zhang Yanan1, “The Research on Software Metrics and Software Complexity Metrics”, International Forum on Computer Science-Technology and Applications, 2009. 2. 3. S. Downey and J. Sutherland, “Scrum Metrics for Hyper-productive Teams: How They Fly like Fighter Aircraft”,(More)