Title :
Mining Frequent Development Patterns of roles in Open Source Software
Author :
Yuan, Lin ; Wang, Huaimin ; Yin, Gang ; Shi, Dianxi ; Li, Xiang ; Liu, Bixin
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
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.
Keywords :
data mining; public domain software; software quality; OSS projects; SourceForge; frequent development pattern mining; latent frequent pattern; open source software; software project; software trustworthiness evidence; Association rules; Itemsets; Measurement; Open source software; association rules; metrics; trusted software; trustworthiness evidence;
Conference_Titel :
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location :
Xian, Shaanxi
Print_ISBN :
978-1-4244-9043-1
Electronic_ISBN :
978-0-7695-4272-0
DOI :
10.1109/UIC-ATC.2010.113
