Papers Test Case Creation
“Test Case Creation” 태그가 달린 논문 6편 · 필터 해제
Agentic AI for Behavior-Driven Development Testing Using Large Language Models
Behavior-driven development (BDD) testing significantly improves communication and collaboration between developers, testers and business stakeholders, and ensures that software functionality meets business requirements.…
Computational EfficiencyTest Case CreationA Systematic Approach for Assessing Large Language Models' Test Case Generation Capability
Software testing ensures the quality and reliability of software products, but manual test case creation is labor-intensive. With the rise of large language models (LLMs), there is growing interest in unit test creation …
software testingTest Case CreationVALTEST: Automated Validation of Language Model Generated Test Cases
Large Language Models (LLMs) have demonstrated significant potential in automating software testing, specifically in generating unit test cases. However, the validation of LLM-generated test cases remains a challenge, pa…
HumanEvalLanguage ModelingLanguage Modellingmbpp+3Large Language Models as Test Case Generators: Performance Evaluation and Enhancement
Code generation with Large Language Models (LLMs) has been extensively studied and achieved remarkable progress. As a complementary aspect to code generation, test case generation is of crucial importance in ensuring the…
Code GenerationTest Case CreationComprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Behavior-driven development (BDD) is an Agile testing methodology fostering collaboration among developers, QA analysts, and stakeholders. In this manuscript, we propose a novel approach to enhance BDD practices using la…
Few-Shot LearningIn-Context LearningLarge Language ModelPrompt Engineering+4Reinforcement learning guided fuzz testing for a browser's HTML rendering engine
Generation-based fuzz testing can uncover various bugs and security vulnerabilities. However, compared to mutation-based fuzz testing, it takes much longer to develop a well-balanced generator that produces good test cas…
reinforcement-learningTest Case Creation