A Study on Software Metrics and Phase based Defect Removal Pattern Technique for Project Management
Jayanthi.R1, M Lilly Florence2

1Jayanthi.R, MCA, VTU / PESIT- South Campus / Bangalore, India, India.
2Dr. M Lilly Florence, Department of MCA, Anna university/ Adhiyamaan engg College(ACE)/ Hosur, Tamilnadu, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 26, 2013. | Manuscript published on September 05, 2013. | PP: 151-155 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1796093413/2013©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: The Software engineering is a application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; that is, the application of engineering to software. Metrics are used by the software industry to quantify the development, operation and maintenance of software. They give us knowledge of the status of an attribute of the software and help us to evaluate it in an objective way. In software development, a metric is the measurement of a particular characteristic of a program’s performance or efficiency. Basically, as applied to the software product, a software metric measures (or quantifies) a characteristic of the software. Metrics provide information to support quantitative managerial decision-making during the software lifecycle and also software metrics is a collective term used to describe the very wide range of activities concerned with measurement in software engineering. The practice of applying software metrics to a software process and to a software product is a complex task that requires study and discipline and which brings knowledge of the status of the process and / or product of software in regards to the goals to achieve Phase-based defect removal pattern.
Keywords: Metrics, Models Project, Product, Quantitative.