Team-external coordination in large-scale software development projects
2021 (English)In: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481, Vol. 33, no 3, article id e2297Article in journal (Refereed) Published
Abstract [en]
High-quality work is said to depend on team abilities. However, teams working in large-scale projects often do not have all expertise to complete their tasks, which are also highly interdependent. Therefore, teams need to rely on coordination with other teams, experts, and supporting roles. In this paper, we explore teams' coordination needs and evaluate the impact of the satisfaction of these needs on team performance. We conducted an embedded multicase study with nine teams in two projects in two companies. We collected qualitative data through nine focus groups and 19 interviews and quantitative data using a questionnaire with 49 members from the studied teams. Our results suggest that project-, team-, and task-related characteristics impact teams' coordination needs. Even in the same project, teams may have different expertise and work coordination needs. We found that the satisfaction of these needs seems to influence teams' performance, although our results are inconclusive and yield a closer look in future research. On the basis of our findings, we recommend the companies to cultivate a networking culture and support teams external coordination with other teams and experts, paying attention to their needs, for example, driven by a lack of experience or increased work complexity. © 2020 The Authors. Journal of Software: Evolution and Process published by John Wiley & Sons Ltd
Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2021. Vol. 33, no 3, article id e2297
Keywords [en]
case study, empirical, expertise coordination, large-scale software development, work coordination, Software design, Surveys, Focus groups, Large-scale projects, Qualitative data, Quantitative data, Software development projects, Supporting role, Team performance, Work complexity, Human resource management
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-20195DOI: 10.1002/smr.2297ISI: 000543671000001Scopus ID: 2-s2.0-85087208689OAI: oai:DiVA.org:bth-20195DiVA, id: diva2:1453422
Funder
Knowledge Foundation, 2009/0249,2016/0191The Research Council of Norway, 267704
Note
Open access
2020-07-102020-07-102021-09-09Bibliographically approved