mlsanityData to 14 Oct 2026

A Tool for Test Case Scenarios Generation Using Large Language Models

arXiv 2406.07021 ↗First posted 11 Jun 2024cs.SEcited by 4

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Abstract (arXiv)

Large Language Models (LLMs) are widely used in Software Engineering (SE) for various tasks, including generating code, designing and documenting software, adding code comments, reviewing code, and writing test scripts. However, creating test scripts or automating test cases demands test suite documentation that comprehensively covers functional requirements. Such documentation must enable thorough testing within a constrained scope and timeframe, particularly as requirements and user demands evolve. This article centers on generating user requirements as epics and high-level user stories and crafting test case scenarios based on these stories. It introduces a web-based software tool that employs an LLM-based agent and prompt engineering to automate the generation of test case scenarios against user requirements.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Jun 2024.

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Citing papers per year: 2025: 1; 2026: 3.

4 papers.

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  1. 2024The Potential of LLMs in Automating Software Testing: From Generation to Reporting
  2. 2025Software Testing with Large Language Models: An Interview Study with Practitioners ↗
  3. 2025Generating High-Level Test Cases from Requirements using LLM: An Industry Study
  4. 2024Generating Test Scenarios from NL Requirements using Retrieval-Augmented LLMs: An Industrial Study
  5. 2026Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows
  6. 2025Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
  7. 2024Large Language Models as Test Case Generators: Performance Evaluation and Enhancement
  8. 2024From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future