mlsanityData to 7 Oct 2026

From Untestable to Testable: Metamorphic Testing in the Age of LLMs

arXiv 2603.24774 ↗First posted 25 Mar 2026cs.SE cs.AIcited by 0

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Abstract (arXiv)

This article discusses the challenges of testing software systems with increasingly integrated AI and LLM functionalities. LLMs are powerful but unreliable, and labeled ground truth for testing rarely scales. Metamorphic Testing solves this by turning relations among multiple test executions into executable test oracles.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 8 references that are in the map. First posted on arXiv 25 Mar 2026.

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References · 4

  1. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
  2. 2024The Future of AI-Driven Software Engineeringcited by 23
  3. 2025Metamorphic Testing of Large Language Models for Natural Language Processingcited by 12
  4. 2026LLMORPH: Automated Metamorphic Testing of Large Language Modelscited by 2

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