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ESEM
2008
ACM

Reducing biases in individual software effort estimations: a combining approach

13 years 5 months ago
Reducing biases in individual software effort estimations: a combining approach
Software effort estimation techniques abound, each with its own set of advantages and disadvantages, and no one proves to be the single best answer. Combining estimating is an appealing approach. Avoiding the difficult problem of choosing the single "best" technique, it solves the problem by asking which techniques would help to improve accuracy, assuming that each has something to contribute. In this paper, we firstly introduce the systematic "external" combining idea into the field of software effort estimation, and estimate software effort using Optimal Linear Combining (OLC) method with an experimental study based on a real-life data set. The result indicates that combining different techniques can significantly improve the accuracy and consistency of software effort estimation by making full use of information provided by all components, even the much "worse" one. Categories and Subject Descriptors D.2.9 [Software Engineering]: Management
Qi Li, Qing Wang, Ye Yang, Mingshu Li
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ESEM
Authors Qi Li, Qing Wang, Ye Yang, Mingshu Li
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