Islam Elgendy

Research

Research Interests

My research focuses on Software Engineering, particularly Software Testing and Verification. My key areas of interest include:

  • Diversity-Based Testing Techniques
  • Search-Based Software Testing
  • Mutation Testing
  • Automated Test Data Generation
  • Test Case Prioritization and Selection
  • Test Suite Reduction
  • Large Language Models for Software Testing

I am currently working on projects that apply diversity-based principles to improve software testing efficiency and effectiveness.

Ongoing Research

I am currently investigating the use of Large Language Models (LLMs) to enhance software testing through diversity-driven approaches, including:

  • Generating Diverse Test Cases Using Large Language Models: Exploring the effectiveness of LLMs in producing diverse and high-quality test suites to improve fault detection.
  • Large Language Models as Guides for Diversity-Based Test Prioritization: Investigating how LLMs can support and guide test case prioritization strategies by incorporating diversity-aware insights to optimize test execution.

These projects build on my ongoing work in diversity-based testing, extending it towards intelligent and adaptive testing methodologies.

If you are interested in collaborations or have inquiries, feel free to reach out! 🚀

Last updated on June 30, 2025
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