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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

EXTAMT: A systematic map to navigate the wide seas of factors affecting expert judgment software estimate

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Author(s):
Fernandes Matsubara, Patricia Gomes [1, 2] ; Gadelha, Bruno Freitas [1] ; Steinmacher, Igor [3, 4] ; Conte, Tayana Uchoa [1]
Total Authors: 4
Affiliation:
[1] Fed Univ Amazonas UFAM, Inst Comp, Manaus, Amazonas - Brazil
[2] Fed Univ Mato Grosso do Sul UFMS, Fac Comp, Campo Grande, MS - Brazil
[3] Fed Univ Technol Parana UTFPR, Curitiba, Parana - Brazil
[4] Northern Arizona Univ NAU, Flagstaff, AZ - USA
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF SYSTEMS AND SOFTWARE; v. 185, MAR 2022.
Web of Science Citations: 0
Abstract

Context: Software projects involve technical and managerial activities, including software estimation. Inaccurate estimates are harmful and improving estimation methods is not enough: we need to understand more of the factors that impact estimates. Objective: Our study aims to identify the existing evidence about the factors that affect estimates in software projects when using expert judgment. Method: We executed a Systematic Literature Mapping (SLM) based on database and snowballing searches, selecting papers by first reading their titles and abstracts and later reading the full text. Results: Researchers investigated a wide range of different factors employing mostly laboratory research strategies and relying primarily on differences of estimates and participants' perceptions to measure the factors' effects. Resulting from our analysis, we present the SEXTAMT (Software Estimates of eXperts: A Map of influencing facTors), a map of factors affecting estimates built on three dimensions: project/iteration phase, stakeholders, and type of effect. Conclusion: Over the years, researchers have investigated a varied set of factors. Many of them were explored in different studies, employing diverse research strategies. Such studies provide compelling evidence on the elements that influence expert judgment estimates, which can be used to assess and improve everyday estimation in the software industry. (C) 2021 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 20/05191-2 - INDEXAR: Individualization of user experience for remote learning tools
Grantee:Tayana Uchôa Conte
Support Opportunities: Regular Research Grants