DocumentCode
1960376
Title
Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection
Author
Tomasev, Nenad ; Leban, Gregor ; Mladenic, Dunja
Author_Institution
Artificial Intell. Lab., Jozef Stefan Inst., Ljubljana, Slovenia
fYear
2013
fDate
24-27 June 2013
Firstpage
131
Lastpage
136
Abstract
Bug duplicate detection is an integral part of many bug tracking systems. Most bugs are reported multiple times and detecting the duplicates saves time and valuable resources. We propose a novel approach to potential duplicate report query ranking. Our secondary re-ranking procedure is self-adaptive, as it learns from previous report occurrences. It is based on the analysis of temporal evolution of the underlying distribution of influence. The experiments show definite improvements in system performance.
Keywords
program debugging; query processing; software maintenance; bug report duplicate detection; bug tracking system; hub exploitation; potential duplicate report query ranking; self-adaptive secondary re-ranking; system performance; temporal evolution analysis; Adaptive systems; Computer bugs; Context; Feature extraction; IEEE Potentials; Internet; Vectors; Bug duplicates; hubs; issue tracking; ranking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces (ITI), Proceedings of the ITI 2013 35th International Conference on
Conference_Location
Cavtat
ISSN
1334-2762
Print_ISBN
978-953-7138-30-1
Type
conf
DOI
10.2498/iti.2013.0488
Filename
6649011
Link To Document