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Rohil, Harish. Multiclass labelling for bug report severity prediction using semantic analysis and machine learning. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Multiclass labelling for bug report severity prediction using semantic analysis and machine learning
Name: Bansal, Kulbhushan
Organization :
Ch. Devi Lal University. Department of Computer Science & Engineering
Email :
kul_bansal@yahoo.co.in
Name: Malik, Sunesh
Organization :
Maharaja Surajmal Information Technology. Department of Information Technology
Email :
suneshmlk@gmail.com
Name: Rohil, Harish
Organization :
Ch. Devi Lal University. Department of Computer Science & Engineering
Email :
harishrohil2@gmail.com
LCSH:
Software failures
-- Testing
LCSH:
Machine learning
Abstract:
Bug reporting is a feature that is provided with
the intent that the user can submit a bug report regarding
software malfunction. Most of the sizeable open source software
is equipped with this feature. Such reporting systems are
generally termed "issue tracking systems." One of the typical
attributes of a bug report is severity, which is often marked as
critical by users in most bug reports. However, not all bugs are
critical, and the ones that are actually critical can be overlooked
in such a situation. Likewise, there are some other types of
classifications of bug reports, some of which require more
critical attention in one context or the other. For example, the
bug report might be labeled as one of the non-functional
requirements like robustness, security, efficiency, etc., or might
be in some other class domain like UI, Database, and
Notifications, etc. Often, for large software projects, we are
interested in two or more of such class labels for the
consideration of bug reports, so as to determine the priority of
assignment to the developer for resolution. This paper
considers the Eclipse software database for the determination
of multiclass labels for the purpose of the determination of
priorities in changing contexts
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-15
Issued:
2024-05-15
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.275-277). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.030446 วินาที
Bansal, Kulbhushan
| Title | Contributor | Type |
|---|---|---|
| Multiclass labelling for bug report severity prediction using semantic analysis and machine learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bansal, Kulbhushan;Malik, Sunesh;Rohil, Harish | บทความ/Article | |
| Literature review of finding duplicate bugs in open-source systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bansal, Kulbhushan;Rohil, Harish | บทความ/Article |
Malik, Sunesh
| Title | Contributor | Type |
|---|---|---|
| Multiclass labelling for bug report severity prediction using semantic analysis and machine learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bansal, Kulbhushan;Malik, Sunesh;Rohil, Harish | บทความ/Article |
Rohil, Harish
| Title | Contributor | Type |
|---|---|---|
| Multiclass labelling for bug report severity prediction using semantic analysis and machine learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bansal, Kulbhushan;Malik, Sunesh;Rohil, Harish | บทความ/Article | |
| Literature review of finding duplicate bugs in open-source systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bansal, Kulbhushan;Rohil, Harish | บทความ/Article |