The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Collaboration in Software Engineering: A Roadmap
Abstract
Software engineering projects are inherently cooperative, requiring many software engineers to coordinate their efforts to produce a large software system. Integral to this effort is developing shared understanding surrounding multiple artifacts, each artifact embodying its own model, over the entire development process. This focus on model- oriented collaboration embedded within a larger process is what distinguishes collaboration research in software engineering from broader collaboration research, which tends to address artifact-neutral coordination technologies and toolkits. This article first presents a list of goals for software engineering collaboration, then surveys existing collaboration support tools in software engineering. The survey covers both tools that focus on a single artifact or stage in the development process (requirements support tools, UML collaboration tools), and tools that support the representation and execution of an entire software process. Important collaboration standards are also described. Several possible future directions for collaboration in software engineering are presented, including tight integration between web and desktop development environments, broader participation by customers and end users in the entire development process, capturing argumentation surrounding design rationale, and use of massively multiplayer online (MMO) game technology as a collaboration medium. The article concludes by noting a problem in performing research on collaborative systems, that of assessing how well certain artifacts, models, and embedded processes work, and whether they are better than other approaches.
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Cites
The interdisciplinary study of coordination
Malone, T. W., & Crowston, K. (1994) · ACM Computing Surveys · doi:10.1145/174666.174668 · Cited by 3,504
Cited by
Automatic enforcement of constraints in real-time collaborative architectural decision making
Gaubatz, P., Lytra, I., & Zdun, U. (2015) · Journal of Systems and Software · doi:10.1016/j.jss.2015.01.056 · Cited by 11
Metadata
- Authors
- Whitehead, J.
- Venue
- Future of Software Engineering (FOSE '07)
- Publisher
- IEEE
- Published
- 2007-05
- Pages
- 214-225
- OpenAlex
- W2163313306
- Cited by
- 306
- References
- 1
- FWCI
- 15.51
- Type
- conference paper
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.