An empirical study on bug severity estimation using source code metrics and static analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An empirical study on bug severity estimation using source code metrics and static analysis

Published:2024-11 Issue: Volume:217 Page:112179
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Mashhadi Ehsan,Chowdhury Shaiful,Modaberi Somayeh,Hemmati Hadi,Uddin Gias^ORCID

Publisher

Elsevier BV

Reference131 articles.

1. Developing bug severity prediction models using word2vec;Agrawal;Int. J. Cogn. Comput. Eng.,2021

2. The impact of co-evolution of code production and test suites through software releases in open source software systems;Alenezi;Int. J. Innov. Technol. Explor. Eng. (IJITEE),2019

3. On the impact of refactoring on the relationship between quality attributes and design metrics;AlOmar,2019

4. What do the asserts in a unit test tell us about code quality? a study on open source and industrial projects;Aniche,2013

5. Identifying risky areas of software code in agile/lean software development: An industrial experience report;Antinyan,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP