A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Sicong, Sun, Xiaobing, Widyasari, Ratnadira, Lo, David, Wu, Xiaoxue, Bo, Lili, Zhang, Jiale, Li, Bin, Liu, Wei, Wu, Di, Chen, Yixin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
by: Widyasari, Ratnadira, et al.
Published: (2024)
by: Widyasari, Ratnadira, et al.
Published: (2024)
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
by: Cao, Sicong, et al.
Published: (2024)
by: Cao, Sicong, et al.
Published: (2024)
Explaining Explanation: An Empirical Study on Explanation in Code Reviews
by: Widyasari, Ratnadira, et al.
Published: (2023)
by: Widyasari, Ratnadira, et al.
Published: (2023)
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization
by: Widyasari, Ratnadira, et al.
Published: (2024)
by: Widyasari, Ratnadira, et al.
Published: (2024)
Well Begun is Half Done: Location-Aware and Trace-Guided Iterative Automated Vulnerability Repair
by: Ye, Zhenlei, et al.
Published: (2025)
by: Ye, Zhenlei, et al.
Published: (2025)
LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda
by: Gomes, Victoria, et al.
Published: (2026)
by: Gomes, Victoria, et al.
Published: (2026)
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel
by: Lyu, Yunbo, et al.
Published: (2023)
by: Lyu, Yunbo, et al.
Published: (2023)
Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
by: Liu, Yue, et al.
Published: (2026)
by: Liu, Yue, et al.
Published: (2026)
Machine Learning Pipeline for Software Engineering: A Systematic Literature Review
by: Kansab, Samah
Published: (2025)
by: Kansab, Samah
Published: (2025)
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
by: Zhou, Xin, et al.
Published: (2025)
by: Zhou, Xin, et al.
Published: (2025)
Teaching Literature Reviewing for Software Engineering Research
by: Baltes, Sebastian, et al.
Published: (2024)
by: Baltes, Sebastian, et al.
Published: (2024)
A Systematic Literature Review on the Use of Machine Learning in Software Engineering
by: Fred, Nyaga, et al.
Published: (2024)
by: Fred, Nyaga, et al.
Published: (2024)
Triage in Software Engineering: A Systematic Review of Research and Practice
by: Zhao, Yongxin, et al.
Published: (2025)
by: Zhao, Yongxin, et al.
Published: (2025)
Large Language Models for Software Engineering: A Systematic Literature Review
by: Hou, Xinyi, et al.
Published: (2023)
by: Hou, Xinyi, et al.
Published: (2023)
A Quality Assessment Instrument for Systematic Literature Reviews in Software Engineering
by: Usman, Muhammad, et al.
Published: (2021)
by: Usman, Muhammad, et al.
Published: (2021)
Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
by: Shi, Jieke, et al.
Published: (2024)
by: Shi, Jieke, et al.
Published: (2024)
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
by: He, Junda, et al.
Published: (2024)
by: He, Junda, et al.
Published: (2024)
A Systematic Literature Review on Task Recommendation Systems for Crowdsourced Software Engineering
by: Nirmani, Shashiwadana, et al.
Published: (2024)
by: Nirmani, Shashiwadana, et al.
Published: (2024)
A Systematic Literature Review of Software Engineering Research on Jupyter Notebook
by: Siddik, Md Saeed, et al.
Published: (2025)
by: Siddik, Md Saeed, et al.
Published: (2025)
LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
by: He, Junda, et al.
Published: (2025)
by: He, Junda, et al.
Published: (2025)
Future of Software Engineering Research: The SIGSOFT Perspective
by: Di Penta, Massimiliano, et al.
Published: (2026)
by: Di Penta, Massimiliano, et al.
Published: (2026)
Modelling GDPR-based Privacy Requirements with Software Engineering Diagrams: A Systematic Literature Review
by: Vanezi, Evangelia, et al.
Published: (2026)
by: Vanezi, Evangelia, et al.
Published: (2026)
The Impact of Human Aspects on the Interactions Between Software Developers and End-Users in Software Engineering: A Systematic Literature Review
by: Gunatilake, Hashini, et al.
Published: (2024)
by: Gunatilake, Hashini, et al.
Published: (2024)
Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead
by: Bucaioni, Alessio, et al.
Published: (2025)
by: Bucaioni, Alessio, et al.
Published: (2025)
Software Solutions for Newcomers' Onboarding in Software Projects: A Systematic Literature Review
by: Santos, Italo, et al.
Published: (2024)
by: Santos, Italo, et al.
Published: (2024)
Software Development Analytics in Practice: A Systematic Literature Review
by: Caldeira, Joao, et al.
Published: (2020)
by: Caldeira, Joao, et al.
Published: (2020)
Systematic Literature Review of Commercial Participation in Open Source Software
by: Li, Xuetao, et al.
Published: (2024)
by: Li, Xuetao, et al.
Published: (2024)
Software Architecture Meets LLMs: A Systematic Literature Review
by: Schmid, Larissa, et al.
Published: (2025)
by: Schmid, Larissa, et al.
Published: (2025)
AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits
by: Lyu, Yunbo, et al.
Published: (2026)
by: Lyu, Yunbo, et al.
Published: (2026)
Architectural Support for Software Performance in Continuous Software Engineering: A Systematic Mapping Study
by: Eramo, Romina, et al.
Published: (2023)
by: Eramo, Romina, et al.
Published: (2023)
Carbon-Efficient Software Design and Development: A Systematic Literature Review
by: Danushi, Ornela, et al.
Published: (2024)
by: Danushi, Ornela, et al.
Published: (2024)
The Role of Humour in Software Engineering -- A Literature Review and Preliminary Taxonomy
by: Hidellaarachchi, Dulaji, et al.
Published: (2025)
by: Hidellaarachchi, Dulaji, et al.
Published: (2025)
Peer Code Review in Research Software Development: The Research Software Engineer Perspective
by: Malik, Md Ariful Islam, et al.
Published: (2025)
by: Malik, Md Ariful Islam, et al.
Published: (2025)
Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
by: Mandal, Ashis Kumar, et al.
Published: (2025)
by: Mandal, Ashis Kumar, et al.
Published: (2025)
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
by: Sajadi, Amirali, et al.
Published: (2025)
by: Sajadi, Amirali, et al.
Published: (2025)
Software Security in Software-Defined Networking: A Systematic Literature Review
by: Diouf, Moustapha Awwalou, et al.
Published: (2025)
by: Diouf, Moustapha Awwalou, et al.
Published: (2025)
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities
by: Chen, Xiangping, et al.
Published: (2024)
by: Chen, Xiangping, et al.
Published: (2024)
User Modeling in Model-Driven Engineering: A Systematic Literature Review
by: Conrardy, Aaron, et al.
Published: (2024)
by: Conrardy, Aaron, et al.
Published: (2024)
Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
by: Huang, Huihui, et al.
Published: (2025)
by: Huang, Huihui, et al.
Published: (2025)
Similar Items
-
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
by: Widyasari, Ratnadira, et al.
Published: (2024) -
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
by: Cao, Sicong, et al.
Published: (2024) -
Explaining Explanation: An Empirical Study on Explanation in Code Reviews
by: Widyasari, Ratnadira, et al.
Published: (2023) -
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
by: Zhou, Xin, et al.
Published: (2024) -
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization
by: Widyasari, Ratnadira, et al.
Published: (2024)