Software Cognitive Complexity Metrics for OO Design : A Survey

Authors(2) :-Syed Tanzeel Rabani, K. Maheswaran

Software metric is used to measure the quality of a software. The conventional metric may be categorized as procedural and Object-oriented metrics. Object-oriented Programming is widely used for software development from the last three decades. There arises a dire need for metrics to evaluate the quality of software in a better manner. Number of metrics are already proposed for OO design but their implementation is still very less. Cognitive Informatics plays an important role in understanding the fundamental characteristics of software. The cognitive complexity metrics is a better indicator to measure the human effort needed to perform the task and measure the difficulty in understanding the software. The primary objective of this paper is to throw some light on various Software cognitive complexity metrics. The classical and modern metrics of software cognitive complexity are discussed and analysed.

Authors and Affiliations

Syed Tanzeel Rabani
Research Scholar, Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Tamil Nadu, India
K. Maheswaran
Assistant Professor, Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Tamil Nadu, India

Software Metrics, Software Complexity, Cognitive Informatics, Cognitive Complexity.

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Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 692-698
Manuscript Number : IJSRSET173415
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Syed Tanzeel Rabani, K. Maheswaran, " Software Cognitive Complexity Metrics for OO Design : A Survey, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.692-698, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET173415

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