Paper Info
Title
Reporting Empirical Evidence in Distributed Software Development: An Extended Taxonomy
Abstract
Distributed Software Development (DSD) has been discussed by industry and academia for almost two decades now, and, as consequence, there is a large number of empirical scientific papers and industrial reports on it. However, the description of the context in which the empirical study was conducted is not always clear or complete, making the process of searching for empirical evidence burdensome. It becomes difficult to understand or to judge the relevance of study given that DSD scenarios are diverse. What works in one context might not apply to another. To reduce such difficulty, we need, as a research community, to have means to standardize how we report empirical studies and their findings aiming to make them more readily available to practitioners and researchers. In this paper we present an extended taxonomy to classify empirical DSD evidence. We conducted an expert opinion survey with researchers and practitioners to identify elements to compose the taxonomy. Preliminary evaluation of the proposed taxonomy suggests that it can be used to synthesize existing knowledge, to identify gaps in literature, to identify related work and to help researchers who will publish or review further empirical work, as well as practitioners who are interested in published empirical studies.
Year
DOI
Venue
2015
10.1109/ICGSE.2015.23
IEEE International Conference on Global Software Engineering
Keywords
Field
DocType
Systematization of Knowledge, Expert Opinion Survey, Taxonomy, Empirical Evidence, Distributed Software Development
Publication,Terminology,Empirical evidence,Computer science,Knowledge management,Distributed software development,Empirical research
Conference
ISSN
Citations 
PageRank 
2329-6305
4
0.39
References 
Authors
33
3
Name
Order
Citations
PageRank
Antonio Rafael Da Rosa Techio140.39
Rafael Prikladnicki284086.35
Sabrina Marczak325936.37