An empirical study of global software development: distance and speed
By James D. Herbsleb, Audris Mockus, Thomas A. Finholt, Rebecca E. Grinter. Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001, 2001
467 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
View Paper: https://www.semanticscholar.org/paper/8797130d50fec7d11960fcc5bd413dec1c1a92d5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- James D. Herbsleb
- Gail C. Murphy
- Janice Singer
- Davor Cubranic
- Audris Mockus
- Kellogg S. Booth
- Michael J. Muller
- Amy X. Zhang
In Information Systems
- James D. Herbsleb
- Gail C. Murphy
- Janice Singer
- Davor Cubranic
- Audris Mockus
- Kellogg S. Booth
- Michael J. Muller
- Dakuo Wang
Citations in the corpus
- Introducing instant messaging and chat in the workplace (2002, background): “Chief among these issues were substantial delay in any work split across sites [7], and difficulties in coping with unforeseen events [5], and the difficulty of finding and negotiating the availability of co-workers [6].”
- How do Data Science Workers Collaborate? Roles, Workflows, and Tools (2020, methodology): “ir findings partially echo previous results [34, 54, 67] that suggest data science workflows have many steps. More importantly, their findings are similar to the software engineering work cited above [42, 53, 87] opening the possibility that data science may also be a highly collaborative effort whe”
- Expertise Browser: a quantitative approach to identifying expertise (2002, background): “Finding experts is critical, especially those outside one's group, Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear…”
- Hipikat: a project memory for software development (2005, background): “Moreover, studies show that workers are less likely to help their noncollocated colleagues [3], making it even harder for a newcomer to come up-to-speed on a project in a virtual team.”
- An Empirical Study of Speed and Communication in Globally Distributed Software Development (2003, background): “Previous research [21], [23] suggests that cross-site communication and coordination issues cause a substantial loss of development speed.”