Name
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1049/iet-sen.2018.5334 | IET Software |
Keywords | DocType | Volume |
software development management,software quality,project management,software cost estimation,planning | Journal | 14 |
Issue | ISSN | Citations |
4 | 1751-8806 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Carbonera | 1 | 1 | 0.35 |
| Kleinner Farias | 2 | 43 | 15.61 |
| Vinicius Bischoff | 3 | 2 | 2.39 |