Software Effort Estimation
2011 ◽
Vol 7
(3)
◽
pp. 41-53
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Keyword(s):
Software development effort estimation is important for quality management in the software development industry, yet its automation still remains a challenging issue. Applying machine learning algorithms alone often cannot achieve satisfactory results. This paper presents an integrated data mining framework that incorporates domain knowledge into a series of data analysis and modeling processes, including visualization, feature selection, and model validation. An empirical study on the software effort estimation problem using a benchmark dataset shows the necessity and effectiveness of the proposed approach.
Systematic literature review of machine learning based software development effort estimation models
2012 ◽
Vol 54
(1)
◽
pp. 41-59
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2017 ◽
Vol 13
(2-3)
◽
pp. 191-200
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2014 ◽
Vol 39
(5)
◽
pp. 1-6
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