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An Overview of the State of Machine Learning in Bug Report Summarization

Som Gupta1 , S.K. Gupta2

Section:Review Paper, Product Type: Journal Paper
Volume-9 , Issue-2 , Page no. 53-56, Feb-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i2.5356

Online published on Feb 28, 2021

Copyright © Som Gupta, S.K. Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Som Gupta, S.K. Gupta, “An Overview of the State of Machine Learning in Bug Report Summarization,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.2, pp.53-56, 2021.

MLA Style Citation: Som Gupta, S.K. Gupta "An Overview of the State of Machine Learning in Bug Report Summarization." International Journal of Computer Sciences and Engineering 9.2 (2021): 53-56.

APA Style Citation: Som Gupta, S.K. Gupta, (2021). An Overview of the State of Machine Learning in Bug Report Summarization. International Journal of Computer Sciences and Engineering, 9(2), 53-56.

BibTex Style Citation:
@article{Gupta_2021,
author = {Som Gupta, S.K. Gupta},
title = {An Overview of the State of Machine Learning in Bug Report Summarization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2021},
volume = {9},
Issue = {2},
month = {2},
year = {2021},
issn = {2347-2693},
pages = {53-56},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5305},
doi = {https://doi.org/10.26438/ijcse/v9i2.5356}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i2.5356}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5305
TI - An Overview of the State of Machine Learning in Bug Report Summarization
T2 - International Journal of Computer Sciences and Engineering
AU - Som Gupta, S.K. Gupta
PY - 2021
DA - 2021/02/28
PB - IJCSE, Indore, INDIA
SP - 53-56
IS - 2
VL - 9
SN - 2347-2693
ER -

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Abstract

Bug Report is one of the most consulted software artifacts during the software evolution and maintenance process. Summarization is one of the approaches which is generally performed over them to perform Bug Report Analysis tasks like Duplicate Bug Report Analysis for Bug Triagers, Quick understanding of Bug Reports, Classification of Bug Reports into priorities, etc. Information Retrieval Techniques, Natural Language Processing Techniques, Machine Learning Techniques and Deep Learning Based Techniques have been successfully implemented for doing the task. Machine Learning is one of the very popular techniques which has been used by almost 70 percent of the researchers for performing the Bug Report Summarization task. Machine Learning is a very common technique which is used in context of Bug Report Summarization due to the fact that the Bug Reports are very domain-specific in nature .In this paper we have systematically analyzed the Machine Learning works used for Bug Report Summarization. We have chosen all the popular papers available through Springer, IEEE, ACM, ACL Anthology and Google Scholar.

Key-Words / Index Term

Bug Report, Machine Learning, Supervised Learning, Unsupervised Learning, Classifiers

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