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Neural network based models for software effort estimation: a review
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DOI：10.1007/s10462-012-9339-x.png)
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Prediction of software development effort is the key task for the effective management of any software industry. The accuracy and reliability of prediction mechanisms is also important. Neural network based models are competitive to traditional regression and statistical models for software effort estimation. This comprehensive article, covers various neural network based models for software estimation as presented by various researchers. The review of twenty-one articles covers a range of features used for effort prediction. This survey aims to support the research for effort prediction and to emphasize capabilities of neural network based model in effort prediction.
Keyword:
Neural networks
Effort estimation
Accuracy
Reliability
期刊
IF:
13.9
论文数:
6.1K
被引数:
1.9W
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