Name
Abstract | ||
|---|---|---|
Free, open source software development communities can become large and complex. They can also be a focus of interest for competing companies relying on their outcomes, with employees joining the development and maintenance effort. In those cases, it's especially important for both companies and communities to understand how this collaboration is working and how it matches their policies and expectations. This articles looks at two cases (OpenStack and WebKit) that the authors studied using analytics techniques. They conclude that such analytics can improve factual knowledge about how development communities are performing in aspects that are of interest to companies. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MS.2013.95 | IEEE Software |
Keywords | Field | DocType |
free software communities,open source software development,maintenance effort,analytics technique,factual knowledge,development community,companies interact,software measurement,statistics,software engineering,public domain software,data analysis,measurement,software metrics,software analytics | Software deployment,Personal software process,Software analytics,Software engineering,Package development process,Computer science,Software metric,Software walkthrough,Software development,Software measurement | Journal |
Volume | Issue | ISSN |
30 | 5 | 0740-7459 |
Citations | PageRank | References |
12 | 0.73 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesús M. González-barahona | 1 | 462 | 35.96 |
| Daniel Izquierdo | 2 | 12 | 0.73 |
| Stefano Maffulli | 3 | 12 | 0.73 |
| Gregorio Robles | 4 | 1294 | 91.67 |