Test Cases for Search Functionality (With Examples)

Effective search testing requires coverage beyond basic successful queries, examining input behavior, valid and invalid searches, boundary conditions, ranking, filters, autocomplete, pagination, performance, accessibility, and cross-browser and mobile behavior. Recommended cases include exact, partial, multi-word, scoped, alphanumeric, multilingual, typo-tolerant, synonym, and Unicode queries, alongside empty inputs, special characters, injection attempts, overly long terms, and no-results states. Results should be assessed with specific, automatable assertions for relevance, counts, highlighting, snippets, duplicate prevention, sorting, URL state, and preserved filters, while e-commerce testing should also account for product names, SKUs, stock status, discontinued items, and indexing updates. The material emphasizes documenting repeatable cases with clear preconditions, test data, steps, and expected outcomes, using realistic catalog data and automating data-driven checks across browser and device matrices; it also presents TestMu AI tools for generating, managing, and running such test suites.

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