Novel Approach to Software Metrics
Reena Sharma1, R.S.Chhillar2
1Reena Sharma, Department of computer science & application M.D. university, Rohtak-124001, Haryana,india
2R.S.Chhillar. Department of computer science & application M.D. university, Rohtak-124001, Haryana,india.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 234-236 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0829062312/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Software metrics are becoming important day by day. Many metrics have been defined and have been related to class coupling cohesion etc. First of all it is difficult to choose the correct metrics for particular software and secondly most of the metrics only cater to requirements phase. It is to be understood that the importance of software metrics cannot be undermined in the design and implementation phase also. The work discusses the various techniques, their merits and demerits and intends to propose a new system for measuring the goodness of implementation phase. The concept of Object Oriented Software Metrics has also been explored. The proposed metrics uses the concept of Genetic Algorithms, which are based on the theory of natural selection. Thus, the work intends to introduce natural selection techniques for measuring the quality of software.
Keywords: Software Metric, Measure, Object Oriented Metrics, Genetic Algorithms