e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : A COMPREHENSIVE REVIEW AND ANALYSIS ON OBJECT-ORIENTED SOFTWARE METRICS IN SOFTWARE MEASUREMENT
Authors : K.P. Srinivasan, Dr. T. Devi
Keywords : Result Based Software Metrics (RBSM); Object-Oriented Metrics; Software Metrics; Software Quality Assessment; Software Quality Attributes; Software Measurement.
Issue Date : July 2014.
Abstract :
The software development is dynamic and is always undergoing major changes. Today a huge number of tools and methodologies are available for software development and software development refers to all activities that go into producing information system solution. System development activities consist of system analysis, modeling, design, implementation, testing and maintenance and further the state of software metrics in software development during the last decade is encouraging and many researchers are involved in the field of software metrics. The software metrics are being applied and good results are obtained with criticisms. The use of software metrics has proved the process efficiency and product effectiveness. In software engineering, recently, software metrics researchers have introduced new metrics and validated software metrics using empirical and theoretical techniques and software metrics have been used in decisions-making as well as in various process activities and more researchers are involved in empirical studies. The eminent researchers guide the software professionals for evaluating software product effectiveness using software metrics. There are many kinds of software metrics available from traditional metrics to latest computer science field of web science, i.e., web-related metrics in software engineering. In order to propose an object-oriented metrics in software engineering, a thorough understanding of the previous object-oriented metrics is essential in software measurement. A better understanding of existing metrics would lead to clear ideation and developments of concepts to solve the problems of ambiguity in object-oriented metrics. This paper analyzes and reviews the most referred object-oriented metrics in software measurement.
Page(s) : 247-261
ISSN : 0975–3397
Source : Vol. 6, Issue.07

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