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Related Experiment Video

Updated: Jun 5, 2025

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
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Technology adoption performance evaluation applied to testing industrial REST APIs.

Alexander Poth1, Olsi Rrjolli1, Andrea Arcuri2

  • 1Volkswagen AG, Wolfsburg, Germany.

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Summary
This summary is machine-generated.

Automated test-case generation tools aid software testing. A systematic approach evaluated AI and algorithm-driven methods for REST API testing, showing benefits for test engineers.

Keywords:
API validationBenchmarkingLLMQuality engineeringRequirements-based testingSBSTTest automationTest-case generation

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Area of Science:

  • Software Engineering
  • Artificial Intelligence in Software Testing
  • Automated Software Testing

Background:

  • Manual software testing is labor-intensive and prone to errors.
  • Automated test-case generation offers a solution to improve efficiency and correctness.
  • Various AI (e.g., evolutionary, LLM) and algorithmic approaches exist, each with unique strengths and weaknesses for industrial integration.

Purpose of the Study:

  • To present a systematic approach for evaluating test-case generation methodologies.
  • To integrate these methodologies into a scalable enterprise setup for IT product development.
  • To specifically address black-box testing of REST APIs using OpenAPI schemas.

Main Methods:

  • Developed and applied the Technology Adoption Performance Evaluation (TAPE) approach.
  • Conducted a case study within Volkswagen AG's Group IT.
  • Evaluated existing tools: OpenAPI Generator, EvoMaster, and StarCoder, based on diverse technologies.

Main Results:

  • The TAPE approach provides a framework for assessing test-case generation tools.
  • Evaluated tools demonstrated significant benefits for test engineers.
  • Facilitated test-case specification and design within a large industrial IT environment.

Conclusions:

  • The systematic evaluation and integration approach (TAPE) is effective for industrial adoption of test-case generation tools.
  • AI and algorithm-driven tools can enhance the efficiency and quality of software testing for REST APIs.
  • The study confirms the value of these tools in streamlining IT product development and service delivery.