Awesome Software Engineering

Key papers

• Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution (2026)
  Liliana Hotsko et al.
  12.88
• A Survey on Large Language Models for Code Generation (2024)
  Juyong Jiang et al.
  9.98
• How Can ChatGPT Support Human Security Testers to Help Mitigate Supply Chain Attacks? (2023)
  Ying Zhang et al.
  8.58
• REPOT: Recoverable Program-of-Thought via Checkpoint Repair (2026)
  Parsa Mazaheri
  8.51
• CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (2026)
  Weinan Dai et al.
  8.17
• LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights (2025)
  Ze Sheng et al.
  7.50
• An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities (2025)
  Zezhou Yang et al.
  7.29
• To Err is Machine: Vulnerability Detection Challenges LLM Reasoning (2024)
  Benjamin Steenhoek et al.
  7.16
• IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities (2024)
  Ziyang Li et al.
  7.00
• RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair (2023)
  Andr\'e Silva et al.
  6.86
• GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development (2025)
  Leming Shen et al.
  6.47
• Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents (2026)
  Xiang Liu et al.
  6.46
• A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks (2025)
  Ronas Shakya et al.
  6.23
• AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code (2025)
  Lola Solovyeva et al.
  6.17
• Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications (2025)
  Yiming Zeng and Wanhao Yu and Zexin Li and Tao Ren and Yu Ma and Jinghan Cao and Xiyan Chen and Tingting Yu
  6.17
• Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study (2023)
  Yujia Fu et al.
  6.13
• A Survey on Evaluating Large Language Models in Code Generation Tasks (2024)
  Liguo Chen et al.
  6.08
• PythonPal: Enhancing Online Programming Education through Chatbot-Driven Personalized Feedback (2025)
  Sirinda Palahan
  5.96
• Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models (2025)
  Marc Bruni et al.
  5.90
• Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization (2026)
  Anmol Agarwal et al.
  5.81
• SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion (2025)
  Chaoyang Gao et al.
  5.76
• Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models (2025)
  Anastasiia Grishina and Vadim Liventsev and Aki H\"arm\"a and Leon Moonen
  5.65
• Translating Regulatory Clauses into Executable Codes for Building Design Checking via Large Language Model Driven Function Matching and Composing (2023)
  Zhe Zheng et al.
  5.63
• The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot (2024)
  Doron Yeverechyahu et al.
  5.62
• COFFE: A Code Efficiency Benchmark for Code Generation (2025)
  Yun Peng et al.
  5.59
• LLM-Generated Microservice Implementations from RESTful API Definitions (2025)
  Saurabh Chauhan et al.
  5.59
• SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs? (2023)
  Mohamed Amine Ferrag et al.
  5.58
• TOGLL: Correct and Strong Test Oracle Generation with LLMs (2024)
  Soneya Binta Hossain and Matthew Dwyer
  5.40
• TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment (2024)
  Zhiqiang Yuan et al.
  5.35
• DocAgent: A Multi-Agent System for Automated Code Documentation Generation (2025)
  Dayu Yang et al.
  5.35
• Advancing Code Coverage: Incorporating Program Analysis with Large Language Models (2024)
  Chen Yang et al.
  5.34
• Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation (2025)
  Cristina Improta et al.
  5.29
• Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models (2025)
  Averi Bates et al.
  5.29
• What's Wrong with Your Code Generated by Large Language Models? An Extensive Study (2024)
  Shihan Dou et al.
  5.20
• C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques (2025)
  Vikram Nitin et al.
  5.18
• BitsAI-CR: Automated Code Review via LLM in Practice (2025)
  Tao Sun et al.
  5.18
• Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration (2024)
  Yingwei Ma and Qingping Yang and Rongyu Cao and Binhua Li and Fei Huang and Yongbin Li
  5.15
• On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization (2025)
  Giuseppe Crupi et al.
  5.10
• A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities (2022)
  Yaoxian Li et al.
  5.06
• AI-powered Code Review with LLMs: Early Results (2024)
  Zeeshan Rasheed et al.
  5.04
• KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding (2025)
  Zhangchen Xu et al.
  5.04
• A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages (2024)
  Sathvik Joel et al.
  5.02
• Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration (2026)
  Cristina Carleo et al.
  5.01
• Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution (2026)
  Can Gurkan et al.
  5.01
• Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language Models (2026)
  Yuchen Chen et al.
  5.01
• Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications (2026)
  Walther A. Del Orbe et al.
  5.01
• Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models (2025)
  Junda Zhao et al.
  4.98
• Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs (2026)
  Alexander Sternfeld et al.
  4.95
• Validating Network Protocol Parsers with Traceable RFC Document Interpretation (2025)
  Mingwei Zheng et al.
  4.93
• SpecGen: Automated Generation of Formal Program Specifications via Large Language Models (2024)
  Lezhi Ma et al.
  4.87
• Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks (2025)
  Amanpreet Singh Saimbhi
  4.87
• StepGrade: Grading Programming Assignments with Context-Aware LLMs (2025)
  Mohammad Akyash et al.
  4.87
• Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps (2025)
  Junayed Mahmud et al.
  4.82
• Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? (2025)
  Antonio Vitale et al.
  4.82
• Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis (2025)
  Jiahao Gai et al.
  4.82
• Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models (2025)
  Quanjun Zhang et al.
  4.82
• Code Summarization Beyond Function Level (2025)
  Vladimir Makharev et al.
  4.82
• Should AI Optimize Your Code? A Comparative Study of Classical Optimizing Compilers Versus Current Large Language Models (2024)
  Miguel Romero Rosas et al.
  4.79
• LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models (2025)
  Mohamad Fakih et al.
  4.76
• SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution (2025)
  Chengxing Xie et al.
  4.76