TY - GEN
T1 - Are All Duplicates Value-Neutral? An Empirical Analysis of Duplicate Issue Reports
AU - Li, Mingyang
AU - Shi, Lin
AU - Wang, Qing
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - In open source communities, there are numerous duplicate issue reports, considered as useless and negligible by developers. Conversely, some researches argued that duplicates deliver complementary information that could benefit issueresolving. Considering all duplicates as value-neutral will result in either overestimation or underestimation of valuable information. It is necessary to be aware of whether all duplicates are redundant or beneficial. In this paper, we investigate whether duplicates have the same impacts on issue resolving and identification cost. We divide duplicates into three categories according to the statuses of master reports when duplicates are submitted. The results show duplicates in different categories play different roles in issue-resolving, and identification cost is also significantly different. Our study reveals duplicates are different, but almost are paid equal attentions. It is promising to propose new approaches and tools to resolve the problem.
AB - In open source communities, there are numerous duplicate issue reports, considered as useless and negligible by developers. Conversely, some researches argued that duplicates deliver complementary information that could benefit issueresolving. Considering all duplicates as value-neutral will result in either overestimation or underestimation of valuable information. It is necessary to be aware of whether all duplicates are redundant or beneficial. In this paper, we investigate whether duplicates have the same impacts on issue resolving and identification cost. We divide duplicates into three categories according to the statuses of master reports when duplicates are submitted. The results show duplicates in different categories play different roles in issue-resolving, and identification cost is also significantly different. Our study reveals duplicates are different, but almost are paid equal attentions. It is promising to propose new approaches and tools to resolve the problem.
KW - Duplicate Issue Report
KW - Identification Cost
KW - Master Report
UR - https://www.scopus.com/pages/publications/85073795572
U2 - 10.1109/QRS.2019.00043
DO - 10.1109/QRS.2019.00043
M3 - 会议稿件
AN - SCOPUS:85073795572
T3 - Proceedings - 19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019
SP - 272
EP - 279
BT - Proceedings - 19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019
Y2 - 22 July 2019 through 26 July 2019
ER -