Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight

CH.V.M.K.Hari; Dr. Prasad Reddy

Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight

CH.V.M.K.Hari * §

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Dr. Prasad Reddy

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GITAM University

Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight

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CSTN4027

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Abstract

Software is the most expensive element of virtually all computer based systems. For complex custom systems, a large effort estimation error can make the difference between profit and loss. Cost (Effort) Overruns can be disastrous for the developer. The basic input for the effort estimation is size of project. A number of models have been proposed to construct a relation between software size and Effort; however we still have problems for effort estimation because of uncertainty existing in the input information. Accurate software effort estimation is a challenge in Industry. In this paper we are proposing three software effort estimation models by using soft computing techniques: Particle Swarm Optimization with inertia weight for tuning effort parameters. The performance of the developed models was tested by NASA software project dataset. The developed models were able to provide good estimation capabilities.

References

6 Cites in Article

Reference Format

D Goldberg (1989). Genetic algorithms in search, optimization, and machine learning.
K Deb (2002). Multi-Objective Optimization Using Evolutionary Algorithms.
C Coello Coello (2002). Evolutionary Algorithms for Solving Multi-Objective Problems.
T Robert,King,C Harry,Rughooputh (2003). Elitist Multi evolutionary algorithm for environmental/economic dispatch.
Alaa Sheta (2006). Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects.
Alaa Sheta,David Rine,Aladdin Ayesh Development of Software Effort and Schedule Estimation Models Using Soft Computing 5 7.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

CH.V.M.K.Hari, Dr. Prasad Reddy. 1970. "Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 11 (GJCST Volume 11 Issue C18).

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GJCST Volume 11 Issue C18

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

KDLOC-Thousands of Delivered Lines of Code PM- Person Months PSO - Particle Swarm Optimization Software Cost Estimation

Classification

GJCST-C Classification D.2.9

Submission ReceivedAugust 24, 2011
Peer Review Double Blind
Handling Editor
Accepted September 19, 2011
Published October 1, 2011

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v1.2

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Prasad Reddy.P.V.G.D,CH.V.M.K.Hari (PhD/Dr. count: 1)

View Count (all-time): 103

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Publish Date: 2011 10, Sat

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Total Views: 4.9K

Total Downloads: 339

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