Obtaining Optimal Software Effort Estimation Data Using Feature Subset Selection

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Effort estimation is usually an odd job and it should be done with utmost care. It is basically carried out with large set of software effort estimation data. But the problem with estimating such a large data set is very hard and there are many chances of errors. To avoid drawbacks in effort estimation, various techniques have been widely used. But no method produces absolute result for effort estimation. Since visualization is not possible in these cases of estimation, no method can be the best for estimating efforts efficiently.
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