Partition Testing is a functional software testing technique based on subdividing the input domain of a system under test into sub-domains (partitions), under the assumption that inputs within the same sub-domain exercise similar behavior. Representative inputs are selected from each sub-domain to construct test cases. The technique has been formalized and analyzed in the literature (notably by Weyuker and Jeng, 1991, building on the revealing-subdomains theory of Weyuker and Ostrand, 1980), and modern variants such as Category-Partition Testing extend it with parameter categories, choices, and constraints, while LLM-based approaches (e.g., LISP, 2024) leverage large language models to automate input space partitioning for library APIs.

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