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An Approach For Software Effort Estimation Using Fuzzy Numbers And Genetic Algorithm

Boehm and Valerdi (2006) reported that the uncertainty level of effort estimation during

early stage of software development is very high. The uncertainty present in the attribute

causes some inaccuracy in the prediction [url removed, login to view] improve the performance of analogy based

estimation at the early stage, combined at with fuzzy numbers and calculate the

similarity distances. But sometimes the most similar project still has a similarity distance

with the project being estimated in most of the cases. Essentially, the effort needs to be

adjusted when the most similar project has a similarity distance with the project being

estimated. To adjust the effort in Estimation by Analogy, the proposed approach uses

Genetic Algorithm method.

Skills: Algorithm, C++ Programming, Matlab and Mathematica

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MikroStar

hi, i can help. i have extensive knowledge and experience of Genetic Algorithm.

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bchandra1955

Interesting project, I gave worked with genetic , PSO type of algorithms.

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kmittal

I am B.Tech+M.Tech from IIT Bombay with 3 years of experience, and have done a couple of projects involving fuzzy logic before. Please see pm.

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StepsToSuccess

Dear Divya Kashyap, I downloaded the article that you've attached and looked through it yet briefly. I work with Academical/Technical writing and software development.Please see PMB for more details.

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jacquesmsr

I'm an expert in artificial intelligence and currently working as a research officer in the first AI research centre of Malaysia. Please visit my website to view my publications in fuzzy logic, GA, NN, PSO and the rest More

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technologies2526

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D6AG5Js2t

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