A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research

26 January 2024

Papers citing "A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research"

6 / 6 papers shown

Title
A Systematic Literature Review on the Use of Machine Learning in Software Engineering Nyaga Fred I. O. Temkin 60 0 0 19 Jun 2024
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? Yue Liu C. Tantithamthavorn Li Li Yepang Liu 37 29 0 02 Sep 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 150 289 0 26 Feb 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 198 1,105 0 09 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017