SEXTAMT: A systematic map to navigate the wide seas of factors affecting expert judgment software estimates

Patrícia Gomes Fernandes Matsubara, Bruno Freitas Gadelha, Igor Steinmacher, Tayana Uchôa Conte

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number111148
JournalJournal of Systems and Software
Volume185
DOIs
StatePublished - Mar 2022

Keywords

  • Expert judgment
  • Software effort estimation

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture

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