Name
Abstract | ||
|---|---|---|
Participants of a software project have a significant impact on whether the project could achieve success, and the relevant information can reflect some trustworthy properties of software. By studying a large number of OSS projects in SourceForge, the role configuration of these projects is analyzed, and some latent frequent patterns are discovered in this paper. It prepares the ground for quantification and utilization of the software trustworthiness evidence from the roles information. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/UIC-ATC.2010.113 | UIC/ATC Workshops |
Keywords | Field | DocType |
public domain software,relevant information,software project,software quality,latent frequent pattern,significant impact,frequent development pattern mining,trustworthy property,open source software,frequent development patterns,roles information,sourceforge,large number,role configuration,software trustworthiness evidence,trustworthiness evidence,oss project,data mining,metrics,oss projects,association rules,trusted software,measurement,association rule | World Wide Web,Software engineering,Computer science,Trustworthiness,Computer network,Association rule learning,Software,Software quality,Open source software,Team software process,Software development,Public domain software | Conference |
ISBN | Citations | PageRank |
978-0-7695-4272-0 | 1 | 0.41 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Yuan | 1 | 54 | 2.38 |
| Wang Huaimin | 2 | 1025 | 121.31 |
| Gang Yin | 3 | 305 | 37.92 |
| Dian-Xi Shi | 4 | 100 | 25.92 |
| Xiang Li | 5 | 1 | 0.41 |
| Bixin Liu | 6 | 9 | 3.04 |