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A conversation around the analysis of the SiP effort estimation dataset

2019/01/06 by Derek M. Jones, Jones, Derek M., Stephen Cullum +1 · 1 voice
Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Engineering Techniques and Practices #Software Reliability and Analysis Research #cs.SE

paper · pdf · doi:10.48550/arxiv.1901.01621

openalex publication_date 2019/01/06 · arxiv published 2019/01/06 · arxiv updated 2019/01/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The analysis of over ten years of commercial development using Agile (10,100 unique task estimates made by 22 developers, under 20 project codes) is documented via a conversation involving the data analyst and a director of the company that created the SiP dataset. Factors found to influence task implementation effort estimation accuracy include the person making the estimate, the project involved, and the propensity to use round numbers. Any improvement in estimation accuracy, with practice, did not noticeably improve regression models fitted.

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