Predicting project outcome leveraging socio-technical network patterns

Proceedings of the European Conference on Software Maintenance and Reengineering, CSMR

Volumn , Issue , 2013, Pages 47-56

  Surian, Didi ^a   Tian, Yuan ^b   Lo, David ^b   Cheng, Hong ^c   Lim, Ee Peng ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

collaboration graph; discriminative pattern; graph mining; software project

Indexed keywords

10-FOLD CROSS-VALIDATION; COLLABORATION GRAPH; DISCRIMINATIVE PATTERN; GRAPH MINING; OPEN SOURCE SOFTWARE DEVELOPMENT; SOCIO-TECHNICAL NETWORKS; SOFTWARE DEVELOPMENT PROCESS; SOFTWARE PROJECT;

DATA MINING; PROJECT MANAGEMENT; REENGINEERING; SOFTWARE ENGINEERING;

COMPUTER SOFTWARE MAINTENANCE;

EID: 84877255221     PISSN: 15345351     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSMR.2013.15     Document Type: Conference Paper

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