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 :
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