NDLI: Classifying bug severity using dictionary based approach

Content Provider	IEEE Xplore Digital Library
Author	Gujral, S. Sharma, G. Sharma, S. Diksha
Copyright Year	2015
Description	Author affiliation: Dept. Of CSE, CU, Gharuan, India (Gujral, S.; Sharma, G.; Sharma, S.; Diksha)
Abstract	Bug tracking system allows user to report bugs that they encounter while operating the software. These bugs are then received by developers and they resolve these bugs according to their severity level. This task of assigning severity level is manual task that need expertise of assessing the severity level of reported bug. But if these reported bugs are large in number then manual process to assess severity level of bugs becomes very hectic. So there should be an automatic process to classify it so that bugs that need immediate fixation get resolved early. A few attempts have been made by researchers to automate the task. The approach followed in this paper has made an attempt to automate the bug severity classification using text mining technique and Naïve Bayes Multinomial classifier. This paper further proposes an approach of making this task more efficient using dictionary of bug terms.
Starting Page	599
Ending Page	602
File Size	182799
Page Count	4
File Format	PDF
e-ISBN	9781479984336
DOI	10.1109/ABLAZE.2015.7154933
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Bug severity Dictionary Accuracy Machine learning algorithms Dictionaries Computer bugs Software Classification algorithms Software bug classification Bug Tracking system
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in