Solutions in Global Software Engineering: A Systematic Literature Review

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Author(s): Stefan Schneider, Richard Torkar, Tony Gorschek
Title: Solutions in Global Software Engineering: A Systematic Literature Review
Journal: International Journal of Information Management
Year: 2013
Volume: 33
Issue: 1
Pagination: 119-132
ISSN: 0268-4012
Publisher: Elsevier
URI/DOI: 10.1016/j.ijinfomgt.2012.06.002
ISI number: 000313310000013
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: Global software engineering (GSE) has received increased attention, as globalization enables and encourages increased distribution of product development. Many empirical studies and systematic literature reviews (SLRs) focus on the identification of challenges, this paper however presents the first SLR collecting and analyzing solutions associated with GSE, while also evaluating the level of empirical validation of said solutions. As a starting point the paper presents a GSE model, designed to categorize solutions into process areas, useful for the analysis of the research community's contributions to state-of-the-art and identifying fundamental gaps in research. In addition, the model categorizing the solutions is populated with references and good-examples, useful for practitioners, which can use the model to find solutions to overall challenges in various process areas. The overall results of the systematic review revealed more than 330 papers containing 127 solutions that were then identified and mapped to the model. The process areas of project management are highly populated, while other areas like product integration have received surprisingly little attention. In addition, selected process area is elaborated upon in terms of contents and deficiencies.
Subject: Software Engineering\General
Computer Science\General
Keywords: global software engineering, systematic review