TY - GEN
T1 - Evidence-based insights about issue management processes
T2 - International Conference on Software Process, ICSP 2009
AU - Garousi, Vahid
PY - 2009/7/17
Y1 - 2009/7/17
N2 - Issue (e.g., defect) repositories usually contain rich information that can be used to mine evidence about team dynamics, issue management processes, and other aspects of software development. The exploratory case study reported in this paper uses quantitative issue tracking data of three open-source projects to derive insights into how issues emerge and are handled in opensource projects. The mined information provides empirical evidence for a few beliefs in the software engineering and process communities. For example, depending on their specific context factors, projects show different degrees of responsiveness to the occurrence of defects. Software engineers can use techniques similar to those presented in this paper to mine the issue repositories of their in-house development projects. This may serve to better characterize their issue management processes, to perform self-assessment and evaluation on them, and also to identify process smells (symptoms) in those processes.
AB - Issue (e.g., defect) repositories usually contain rich information that can be used to mine evidence about team dynamics, issue management processes, and other aspects of software development. The exploratory case study reported in this paper uses quantitative issue tracking data of three open-source projects to derive insights into how issues emerge and are handled in opensource projects. The mined information provides empirical evidence for a few beliefs in the software engineering and process communities. For example, depending on their specific context factors, projects show different degrees of responsiveness to the occurrence of defects. Software engineers can use techniques similar to those presented in this paper to mine the issue repositories of their in-house development projects. This may serve to better characterize their issue management processes, to perform self-assessment and evaluation on them, and also to identify process smells (symptoms) in those processes.
KW - Evidence report
KW - Issue management
KW - Issue processing
KW - Issue repositories
KW - Open-source projects
KW - Qualitative analysis
UR - http://www.scopus.com/inward/record.url?scp=67650327105&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01680-6_12
DO - 10.1007/978-3-642-01680-6_12
M3 - Conference contribution
AN - SCOPUS:67650327105
SN - 9783642016790
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 112
EP - 123
BT - Trustworthy Software Development Processes - International Conference on Software Process, ICSP 2009, Proceedings
Y2 - 16 May 2009 through 17 May 2009
ER -