Increasing the accuracy of software development effort estimation using projects clustering
Software development effort is one of the most important metrics that must be correctly estimated in software projects. Analogy-based estimation (ABE) and artificial neural networks (ANN) are the most popular methods used widely in this field. These methods suffer from inconsistent and irrelevant pr...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/47096/ http://dx.doi.org/10.1049/iet-sen.2011.0210 |
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| Institution: | Universiti Teknologi Malaysia |