"Estimating software project effort using analogies": Reflections after 28 years

Fuente: arXiv
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Autor principal: Shepperd, Martin
Formato: Preprint
Publicado: 2025
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author Shepperd, Martin
author_facet Shepperd, Martin
contents Background: This invited paper is the result of an invitation to write a retrospective article on a "TSE most influential paper" as part of the journal's 50th anniversary. Objective: To reflect on the progress of software engineering prediction research using the lens of a selected, highly cited research paper and 28 years of hindsight. Methods: The paper examines (i) what was achieved, (ii) what has endured and (iii) what could have been done differently with the benefit of retrospection. Conclusions: While many specifics of software project effort prediction have evolved, key methodological issues remain relevant. The original study emphasised empirical validation with benchmarks, out-of-sample testing and data/tool sharing. Four areas for improvement are identified: (i) stronger commitment to Open Science principles, (ii) focus on effect sizes and confidence intervals, (iii) reporting variability alongside typical results and (iv) more rigorous examination of threats to validity.
format Preprint
id arxiv_https___arxiv_org_abs_2501_14582
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle "Estimating software project effort using analogies": Reflections after 28 years
Shepperd, Martin
Software Engineering
Background: This invited paper is the result of an invitation to write a retrospective article on a "TSE most influential paper" as part of the journal's 50th anniversary. Objective: To reflect on the progress of software engineering prediction research using the lens of a selected, highly cited research paper and 28 years of hindsight. Methods: The paper examines (i) what was achieved, (ii) what has endured and (iii) what could have been done differently with the benefit of retrospection. Conclusions: While many specifics of software project effort prediction have evolved, key methodological issues remain relevant. The original study emphasised empirical validation with benchmarks, out-of-sample testing and data/tool sharing. Four areas for improvement are identified: (i) stronger commitment to Open Science principles, (ii) focus on effect sizes and confidence intervals, (iii) reporting variability alongside typical results and (iv) more rigorous examination of threats to validity.
title "Estimating software project effort using analogies": Reflections after 28 years
topic Software Engineering
url https://arxiv.org/abs/2501.14582