A Review of Studies On Machine Learning Techniques

In this paper, the authors provide an extensive review of studies related to expert estimation of software development using Machine-Learning Techniques (MLTs). Machine learning in this new era, is demonstrating the promise of producing consistently accurate estimates. Machine learning system effectively "Learns" how to estimate from training set of completed projects. The main goal and contribution of the review is to support the research on expert estimation, i.e. to ease other researchers for relevant expert estimation studies using machine-learning techniques.

Provided by: Computer Science Journals Topic: Enterprise Software Date Added: Jul 2007 Format: PDF

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