A theoretical validation of the number of polymorphic methods as a complexity metric

Bajeh, A.O. and Basri, S. and Jung, L.T. (2014) A theoretical validation of the number of polymorphic methods as a complexity metric. In: UNSPECIFIED.

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The external quality attributes of software product are influenced by the internal and structural properties of the design of software products. This implies that to estimate the external quality, the internal properties need to be accurately measured. Measuring the internal attributes requires the use of metrics that are both theoretically and empirically valid. This work identifies and theoretically validates an OO metrics that measures polymorphism. The property-based and measurement theory-based validation approaches are used to show that the metric measures the concept of complexity which has impact on the external quality attribute of software design. © 2014 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 1
Uncontrolled Keywords: Computer software; Measurement theory; Polymorphism; Product design; Software design; Software quality, Complexity; Design of softwares; External quality; Metrics; Object oriented software; Software products; Theoretical validations; Validation approach, Object oriented programming
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 09:02
Last Modified: 25 Mar 2022 09:02
URI: http://scholars.utp.edu.my/id/eprint/31175

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