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Software Refactoring Cost Estimation Using Particle Swarm Optimization

Authors: M. Sangeetha*, Dr. P. Sengottuvelan;

Software Refactoring Cost Estimation Using Particle Swarm Optimization

Abstract

“Now a day’s software industry major development cost devoted software maintenance. The major challenge for this industry is to produce quality software which is timely designed and build with proper cost estimates. Refactoring is used increasing the ability of software to adopt the new requirements and maintenance In this paper, we have proposed a cost estimation model based on Multi-objective Particle Swarm Optimization (MPSO) to tune the parameters of the famous Constructive Cost Model (COCOMO). This cost estimation model is integrated with Quality Function Deployment (QFD) methodology to support decision making in software designing and development processes for improving the quality. This approach helps to the developers to efficiently plan the overall software development life cycle.

Keywords

M. Sangeetha*, Dr. P. Sengottuvelan

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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