Abstract
Purpose: The purpose of this mapping study has been performed to identify, critically analyze and synthesize research performed in the area of software engineering teams. Teams, in a general sense, have been studied extensively. But the distinctive processes that need to be executed effectively and efficiently in software engineering require a better understanding of current software engineering team research. Design/methodology/approach: In this work, software engineering team publications were analyzed and the key findings of each paper that met our search inclusion criteria were synthesized. In addition, a keyword content analysis was performed to create a taxonomy to categorize each paper and evaluate the state of software engineering team research. Findings: In software engineering team research, the resulting areas that are the most active are teamwork/collaboration, process/design and coordination. Clear themes of analysis have been determined to help understand how team members collaborate, factors affecting their success and interactions among all project stakeholders. In addition, themes related to tools to support team collaboration, improve the effectiveness of software engineering processes and support team coordination have been found. However, the research gaps determined from the content analysis point toward a need for more research in the area of communication and tools. Originality/value: The goal of this work is to define the span of previous research in this area, create a taxonomy to categorize such research and identify open research areas to provide a clear road map for future research in the area of software engineering teams. These results, along with the key finding themes presented, will help guide future research in an area that touches all parts of the software engineering and development processes.
Original language | English (US) |
---|---|
Pages (from-to) | 203-248 |
Number of pages | 46 |
Journal | Team Performance Management |
Volume | 24 |
Issue number | 3-4 |
DOIs | |
State | Published - Jun 7 2018 |
All Science Journal Classification (ASJC) codes
- Management Information Systems
- Organizational Behavior and Human Resource Management
- Management of Technology and Innovation