{"total":22,"rows":[{"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":"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":"2506.03136","title":"Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning","created":"2025-06-03","cited_by_count":56,"area":null},{"id":"2404.00566","title":"CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks","created":"2024-03-31","cited_by_count":23,"area":null},{"id":"2602.02361","title":"SWE-Universe: Scale Real-World Verifiable Environments to Millions","created":"2026-02-02","cited_by_count":19,"area":null},{"id":"2402.03396","title":"UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing","created":"2024-02-04","cited_by_count":5,"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":"2412.08859","title":"ViUniT: Visual Unit Tests for More Robust Visual Programming","created":"2024-12-12","cited_by_count":4,"area":null},{"id":"2501.11264","title":"Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian","created":"2025-01-20","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":"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":"2505.12424","title":"EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation","created":"2025-05-18","cited_by_count":2,"area":null},{"id":"2509.20190","title":"STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2509.23812","title":"Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models","created":"2025-09-28","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":"2312.08055","title":"Breaking the Silence: the Threats of Using LLMs in Software Engineering","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2604.06946","title":"An empirical study of LoRA-based fine-tuning of large language models for automated test case generation","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2607.05032","title":"Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.11342","title":"Fail-Aware and Explainable Test Oracle Prediction","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.22880","title":"Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study)","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2607.22883","title":"Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests","created":"2026-07-24","cited_by_count":0,"area":null}],"next_cursor":null}