Development of software effort and schedule estimation models using soft computing techniques

Alaa Sheta*, David Rine, Aladdin Ayesh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

39 Citations (Scopus)

Abstract

Accurate estimation of the software effort and schedule affects the budget computation. Bidding for contracts depends mainly on the estimated cost. Inaccurate estimates will lead to failure of making a profit, increased probability of project incompletion and delay of the project delivery date. In this paper, we explore the use of Soft Computing Techniques to build a suitable model structure to utilize improved estimations of software effort for NASA software projects. In doing so, we plan to use Particle Swarm Optimization (PSO) to tune the parameters of the famous Constructive COst MOdel (COCOMO). We plan also to explore the advantages of Fuzzy Logic to build a set of linear models over the domain of possible software Line Of Code (LOC). The performance of the developed model was evaluated using NASA software projects data set [1]. A comparison between COCOMO tuned-PSO, Fuzzy Logic (FL), Halstead, Walston-Felix, Bailey-Basili and Doty models were provided.

Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages1283-1289
Number of pages7
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Conference

Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
Country/TerritoryChina
CityHong Kong
Period1/06/086/06/08

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