A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

14 September 2020

Papers citing "A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research"

30 / 30 papers shown

Title
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations David Nader-Palacio Dipin Khati Daniel Rodríguez-Cárdenas Alejandro Velasco Denys Poshyvanyk LRM 42 0 0 21 Mar 2025
Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives Dipin Khati Yijin Liu David Nader-Palacio Yixuan Zhang Denys Poshyvanyk 51 0 0 18 Mar 2025
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation Liangying Shao Yanfu Yan Denys Poshyvanyk Jinsong Su 36 1 0 18 Feb 2025
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations David Nader-Palacio Daniel Rodríguez-Cárdenas Alejandro Velasco Dipin Khati Kevin Moran Denys Poshyvanyk 43 5 0 12 Jul 2024
A Systematic Literature Review on the Use of Machine Learning in Software Engineering Nyaga Fred I. O. Temkin 56 0 0 19 Jun 2024
AI for DevSecOps: A Landscape and Future Opportunities Michael Fu Jirat Pasuksmit C. Tantithamthavorn 27 6 0 07 Apr 2024
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy Jingzhi Gong Tao Chen BDL 28 3 0 05 Mar 2024
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures Negar Alizadeh Fernando Castor 22 11 0 21 Feb 2024
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction Adil Mukhtar Dietmar Jannach Franz Wotawa AI4CE 17 0 0 08 Feb 2024
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting Hao Li Gopi Krishnan Rajbahadur Dayi Lin C. Bezemer Zhen Ming Jiang Jiang 15 25 0 18 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 20 20 0 30 Dec 2023
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps David Lo 27 39 0 08 Sep 2023
Benchmarking Causal Study to Interpret Large Language Models for Source Code Daniel Rodríguez-Cárdenas David Nader-Palacio Dipin Khati Henry Burke Denys Poshyvanyk CML ELM 22 15 0 23 Aug 2023
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 25 320 0 21 Aug 2023
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? A. Mastropaolo M. D. Penta Gabriele Bavota 13 6 0 17 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures David Nader-Palacio Alejandro Velasco Daniel Rodríguez-Cárdenas Kevin Moran Denys Poshyvanyk 34 8 0 07 Aug 2023
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code Max Hort Anastasiia Grishina Leon Moonen 10 2 0 05 Jul 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code M. Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 22 9 0 06 May 2023
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training Rosalia Tufano L. Pascarella Gabriele Bavota 17 18 0 08 Feb 2023
Toward a Theory of Causation for Interpreting Neural Code Models David Nader-Palacio Alejandro Velasco Nathan Cooper Á. Rodríguez Kevin Moran Denys Poshyvanyk 13 13 0 07 Feb 2023
What are the Machine Learning best practices reported by practitioners on Stack Exchange? Anamaria Mojica-Hanke A. Bayona Mario Linares-Vásquez Steffen Herbold Fabio A. González HAI 11 6 0 25 Jan 2023
Machine Learning for Software Engineering: A Tertiary Study Zoe Kotti R. Galanopoulou D. Spinellis 16 21 0 17 Nov 2022
Adaptive user interfaces in systems targeting chronic disease: a systematic literature review Wen Wang Hourieh Khalajzadeh Anuradha Madugalla Jennifer McIntosh Humphrey O. Obie 17 7 0 17 Nov 2022
Towards Top-Down Automated Development in Limited Scopes: A Neuro-Symbolic Framework from Expressibles to Executables Jian Gu H. Gall 10 0 0 04 Sep 2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora An Dau Thang Nguyen-Duc Hoang Thanh-Tung Nghi D. Q. Bui TDI 11 4 0 25 May 2022
Automating Code Review Activities by Large-Scale Pre-training Zhiyu Li Shuai Lu Daya Guo Nan Duan Shailesh Jannu ... Deep Majumder Jared Green Alexey Svyatkovskiy Shengyu Fu Neel Sundaresan VLM 13 137 0 17 Mar 2022
End to End Software Engineering Research Idan Amit 11 3 0 22 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 22 2 0 20 Dec 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 190 853 0 09 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020