Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits using Machine Learning Models

被引：0
|
作者：
Nadim, Md [1 ]
Roy, Banani [2 ]
机构：
[1] Software Research Lab (SRLab), Department of Computer Science, USASK, Saskatoon,SK, Canada
[2] Department of Computer Science, USASK, Saskatoon,SK, Canada
来源：
arXiv | 2022年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Bug detection - Bug inducing commit - Deep belief networks - Defect prediction - Explainability of bug detection - Just in time defect prediction - Just-in-time - Source code syntax pattern - Source codes - Token pattern - Token sequences
引用
收藏
相关论文
共 50 条
  • [1] Utilizing source code syntax patterns to detect bug inducing commits using machine learning models
    Nadim, Md
    Roy, Banani
    SOFTWARE QUALITY JOURNAL, 2023, 31 (03) : 775 - 807
  • [2] Utilizing source code syntax patterns to detect bug inducing commits using machine learning models
    Md Nadim
    Banani Roy
    Software Quality Journal, 2023, 31 : 775 - 807
  • [3] Predicting Bug Inducing Source Code Change Patterns
    Khan, Ayazuddin
    Ahsan, Syed Nadeem
    2016 INTERNATIONAL CONFERENCE ON OPEN SOURCE SYSTEMS AND TECHNOLOGIES (ICOSST), 2016, : 29 - 35
  • [4] Effective pattern matching of source code using abstract syntax patterns
    Atkinson, DC
    Griswold, WG
    SOFTWARE-PRACTICE & EXPERIENCE, 2006, 36 (04): : 413 - 447
  • [5] Bug Prediction of SystemC Models Using Machine Learning
    Efendioglu, Mustafa
    Sen, Alper
    Koroglu, Yavuz
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 38 (03) : 419 - 429
  • [6] Machine learning based software fault prediction utilizing source code metrics
    Bhandari, Guru Prasad
    Gupta, Ratneshwer
    PROCEEDINGS ON 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND SECURITY (ICCCS), 2018, : 40 - 45
  • [7] A Survey on Source Code Review Using Machine Learning
    Wang Xiaomeng
    Zhang Tao
    Xin Wei
    Hou Changyu
    2018 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS ENGINEERING (ICISE), 2018, : 56 - 60
  • [8] Detecting Vulnerabilities in Source Code Using Machine Learning
    Hany, Omar
    Abu-Elkheir, Mervat
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED CYBER SECURITY (ACS) 2021, 2022, 378 : 35 - 41
  • [9] Vulnerability Prediction From Source Code Using Machine Learning
    Bilgin, Zeki
    Ersoy, Mehmet Akif
    Soykan, Elif Ustundag
    Tomur, Emrah
    Comak, Pinar
    Karacay, Leyli
    IEEE ACCESS, 2020, 8 : 150672 - 150684
  • [10] Automatic Algorithm Recognition of Source-Code Using Machine Learning
    Shalaby, Maged
    Mehrez, Tarek
    El-Mougy, Amr
    Abdulnasser, Khalid
    Al-Safty, Aysha
    2017 16TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2017, : 170 - 177
12345