{"total":57,"rows":[{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2312.02003","title":"A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly","created":"2023-12-04","cited_by_count":387,"area":null},{"id":"2312.02120","title":"Magicoder: Empowering Code Generation with OSS-Instruct","created":"2023-12-04","cited_by_count":256,"area":null},{"id":"2404.00971","title":"Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code","created":"2024-04-01","cited_by_count":107,"area":null},{"id":"2308.04748","title":"Fuzz4All: Universal Fuzzing with Large Language Models","created":"2023-08-09","cited_by_count":88,"area":null},{"id":"2402.00097","title":"Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM","created":"2024-01-31","cited_by_count":64,"area":null},{"id":"2311.07989","title":"Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code","created":"2023-11-14","cited_by_count":62,"area":null},{"id":"2404.14646","title":"Exploring and Unleashing the Power of Large Language Models in Automated Code Translation","created":"2024-04-23","cited_by_count":57,"area":null},{"id":"2506.03136","title":"Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning","created":"2025-06-03","cited_by_count":56,"area":null},{"id":"2308.03656","title":"Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench","created":"2023-08-07","cited_by_count":54,"area":null},{"id":"2407.06153","title":"What's Wrong with Your Code Generated by Large Language Models? An Extensive Study","created":"2024-07-08","cited_by_count":53,"area":null},{"id":"2311.08588","title":"CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation","created":"2023-11-14","cited_by_count":39,"area":null},{"id":"2412.13091","title":"LMUnit: Fine-grained Evaluation with Natural Language Unit Tests","created":"2024-12-17","cited_by_count":33,"area":null},{"id":"2406.07737","title":"The Future of AI-Driven Software Engineering","created":"2024-06-11","cited_by_count":23,"area":null},{"id":"2401.00563","title":"KernelGPT: Enhanced Kernel Fuzzing via Large Language Models","created":"2023-12-31","cited_by_count":17,"area":null},{"id":"2407.00456","title":"Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models","created":"2024-06-29","cited_by_count":15,"area":null},{"id":"2312.10622","title":"Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools","created":"2023-12-17","cited_by_count":13,"area":null},{"id":"2511.02108","title":"Metamorphic Testing of Large Language Models for Natural Language Processing","created":"2025-11-03","cited_by_count":12,"area":null},{"id":"2307.13018","title":"The potential of LLMs for coding with low-resource and domain-specific programming languages","created":"2023-07-24","cited_by_count":11,"area":null},{"id":"2411.00932","title":"LLMs: A Game-Changer for Software Engineers?","created":"2024-11-01","cited_by_count":11,"area":null},{"id":"2502.18474","title":"A Contemporary Survey of Large Language Model Assisted Program Analysis","created":"2025-02-05","cited_by_count":11,"area":null},{"id":"2408.03519","title":"RepoMasterEval: Evaluating Code Completion via Real-World Repositories","created":"2024-08-07","cited_by_count":10,"area":null},{"id":"2409.08692","title":"B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests","created":"2024-09-13","cited_by_count":9,"area":null},{"id":"2409.10741","title":"NaviQAte: Functionality-Guided Web Application Navigation","created":"2024-09-16","cited_by_count":9,"area":null},{"id":"2503.05070","title":"PromptPex: Automatic Test Generation for Language Model Prompts","created":"2025-03-07","cited_by_count":9,"area":null},{"id":"2408.07846","title":"A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites","created":"2024-08-14","cited_by_count":8,"area":null},{"id":"2411.08243","title":"Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset","created":"2024-11-12","cited_by_count":8,"area":null},{"id":"2502.04008","title":"Automating a Complete Software Test Process Using LLMs: An Automotive Case Study","created":"2025-02-06","cited_by_count":8,"area":null},{"id":"2308.08033","title":"Domain Adaptation for Code Model-based Unit Test Case Generation","created":"2023-08-15","cited_by_count":7,"area":null},{"id":"2310.07856","title":"Assessing Evaluation Metrics for Neural Test Oracle Generation","created":"2023-10-11","cited_by_count":7,"area":null},{"id":"2502.06633","title":"Combining Large Language Models with Static Analyzers for Code Review Generation","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2405.14619","title":"exLong: Generating Exceptional Behavior Tests with Large Language Models","created":"2024-05-23","cited_by_count":4,"area":null},{"id":"2411.08254","title":"Toward Automated Validation of Language Model Synthesized Test Cases using Semantic Entropy","created":"2024-11-13","cited_by_count":4,"area":null},{"id":"2505.15039","title":"LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2310.00483","title":"Prompting Code Interpreter to Write Better Unit Tests on Quixbugs Functions","created":"2023-09-30","cited_by_count":3,"area":null},{"id":"2407.05202","title":"Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing","created":"2024-07-06","cited_by_count":3,"area":null},{"id":"2411.02462","title":"Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study","created":"2024-11-04","cited_by_count":3,"area":null},{"id":"2510.01994","title":"Clarifying Semantics of In-Context Examples for Unit Test Generation","created":"2025-10-02","cited_by_count":3,"area":null},{"id":"2403.10588","title":"S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2409.06416","title":"Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes","created":"2024-09-10","cited_by_count":2,"area":null},{"id":"2505.22818","title":"A Tool for Generating Exceptional Behavior Tests With Large Language Models","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2601.05542","title":"Understanding LLM-Driven Test Oracle Generation","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2312.10448","title":"Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing","created":"2023-12-16","cited_by_count":1,"area":null},{"id":"2409.12405","title":"On the Effectiveness of LLMs for Manual Test Verifications","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2502.02866","title":"A Systematic Approach for Assessing Large Language Models' Test Case Generation Capability","created":"2025-02-05","cited_by_count":1,"area":null},{"id":"2505.05584","title":"PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2505.15088","title":"Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2508.02503","title":"OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2510.17163","title":"TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2511.20403","title":"LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2602.21997","title":"Enhancing LLM-Based Test Generation by Eliminating Covered Code","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2605.05267","title":"Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2404.01754","title":"Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2507.14256","title":"Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2508.04125","title":"Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2510.24019","title":"Lifecycle-Aware code generation: Leveraging Software Engineering Phases in LLMs","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2604.19826","title":"Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}