Title :
Why so complicated? Simple term filtering and weighting for location-based bug report assignment recommendation
Author :
Shokripour, Ramin ; Anvik, John ; Kasirun, Zarinah M. ; Zamani, Samaneh
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
Large software development projects receive many bug reports and each of these reports needs to be triaged. An important step in the triage process is the assignment of the report to a developer. Most previous efforts towards improving bug report assignment have focused on using an activity-based approach. We address some of the limitations of activity-based approaches by proposing a two-phased location-based approach where bug report assignment recommendations are based on the predicted location of the bug. The proposed approach utilizes a noun extraction process on several information sources to determine bug location information and a simple term weighting scheme to provide a bug report assignment recommendation. We found that by using a location-based approach, we achieved an accuracy of 89.41% and 59.76% when recommending five developers for the Eclipse and Mozilla projects, respectively.
Keywords :
information filtering; program debugging; project management; software management; Eclipse project; Mozilla project; activity-based approach; bug location information; bug report assignment recommendations; information sources; location-based bug report assignment recommendation; noun extraction process; term filtering; term weighting scheme; two-phased location-based approach; Accuracy; Computer bugs; Data mining; Indexes; Logic gates; Noise; Software; Bug Report Assignment; File Activity Histories; Mining Software Artifacts; Named Entity Recognition; POS Filtering;
Conference_Titel :
Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-0345-0
DOI :
10.1109/MSR.2013.6623997