Back to search

Article

The Role of Explainable AI in Automated Software Testing: Opportunities and Challenges

2025-07-01

Abstract excerpt

Over the last couple of years, software testing with automation has become the pillar of modern software development, driven by the needs of fast, reliable, and elastic quality assurance. Concomitantly, integration with Artificial Intelligence (AI) has greatly enabled testing — facilitating smart test case generation, defect detection, and anticipatory bug fixing. However, the "black-box" nature of most AI models...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
96782acd-e2d7-5472-ae15-b79612ec0930
DOI
10.20944/preprints202507.0006.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The Role of Explainable AI in Automated Software Testing: Opportunities and ChallengesDOI 10.20944/preprints202507.0006.v1
When Generative AI Writes Test Cases: Scenario-Driven Evaluation of Generated TestsSemantic proximity
Autonomous AI and Agentic Testing Agents: A Multi-Agent Architecture for Self-Directed Software Quality AssuranceSemantic proximity
Abstraction, Validation, and Generalization for Explainable Artificial IntelligenceSemantic proximity
Non-algorithms for Explainable Artificial IntelligenceSemantic proximity
Artificial Intelligence versus Software Engineers: An Evidence-Based Assessment Focusing on Non-Functional RequirementsSemantic proximity
AIShield – A Framework for QA in Software Development to Detect AI Generated CodeSemantic proximity
AI-Powered Defect Prediction: From Code Smells to Failure ForecastingSemantic proximity
Engineering Explainable AI Systems for GDPR-Aligned Decision Transparency: A Modular Framework for Continuous ComplianceSemantic proximity
A Systematic Literature Review on Generative AI in Software Engineering: Code Generation and RefactoringSemantic proximity
Challenges and Paths Towards AI for Software EngineeringSemantic proximity
From Ambiguous Requirements to Hallucinated Tests: A Multi-Domain Study of the Mirror Effect in LLM-Assisted Software TestingSemantic proximity
AI Agents for Web Testing: A Case Study in the WildSemantic proximity
Select a neighboring publication to make it the new centre.