Software Effort Estimation: Harmonizing Algorithms and Domain Knowledge in an Integrated Data Mining Approach

Jeremiah D. Deng, Martin Purvis and Maryam Purvis
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Jeremiah D. Deng: University of Otago, New Zealand
Martin Purvis: University of Otago, New Zealand
Maryam Purvis: University of Otago, New Zealand

International Journal of Intelligent Information Technologies (IJIIT), 2011, vol. 7, issue 3, 41-53

Abstract: 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.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:7:y:2011:i:3:p:41-53

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