Litcius/Paper detail

Software development effort estimation: a systematic mapping study

Carlos Eduardo Carbonera, Kleinner Farias, Vinícius Bischoff

2020IET Software50 citationsDOI

Abstract

The field of software‐development effort estimation explores ways of defining effort through prediction approaches. Even though this field has a crucial impact on budgeting and project planning in industry, the number of works classifying and examining currently available approaches is still small. This article, therefore, presents a comprehensive overview of these approaches, and pinpoints research gaps, challenges and trends. A systematic mapping of the literature was designed and performed based on well‐established practical guidelines. In total, 120 primary studies were selected, analysed and categorised, after applying a careful filtering process from a sample of 3746 candidate studies to answer six research questions. Over 70% of the selected studies adopted multiple effort estimation approaches; over 45% adopted evaluation research as a research method; over 90% of the participants were students, rather than professionals; most studies had their quality assessed as high, and were most commonly published in journals. Our study benefits practitioners and researchers by providing a body of knowledge about the current literature, serving as a starting point for upcoming studies. This article reports challenges worth investigating, regarding the use of cognitive load and team interaction.

Topics & Concepts

Computer scienceEstimationField (mathematics)Process (computing)Systematic reviewSample (material)Point (geometry)SoftwareSoftware developmentManagement scienceProcess managementData scienceKnowledge managementEngineeringSystems engineeringOperating systemGeometryProgramming languagePure mathematicsMEDLINEChromatographyPolitical scienceChemistryMathematicsLawSoftware Engineering ResearchSoftware Engineering Techniques and PracticesSoftware Reliability and Analysis Research