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Title: Artificial Neural Networks for Software Effort Estimation : A Review

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Title:
Artificial Neural Networks for Software Effort Estimation : A Review
Author Name:
Poonam Rijwani, Sonal Jain
Abstract:
Several software effort estimation models have been developed over the past few years, but providing accurate estimates of the software projects is still a challenge. Failures in software are mainly due to the erroneous estimation of effort at early stages. Therefore, many researchers are working on the development of new models and the improvement of the existing ones using artificial intelligence techniques. Dynamic scenarios of software development technology make effort estimation difficult to predict. Ability of ANN (Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a budding tool for estimation. This paper presents a review based on performance analysis of different ANNs and comparing the results of various ANN models in effort estimation.
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