GUI Testing Using Computer Vision
Presents visual GUI test scripts that use images to specify actions and expected screen feedback. Recording both input events and screenshots can generate tests from demonstrations, supporting unit, regression, and test-driven workflows.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Research papers
- Environment
- unspecified
- Topics
- evaluation, grounding, automation
- Record publication date
- 2010-04
- Evidence retrieved
- 2026-10-17T09:53:21Z
- Resource ID
- url:6262c757080f8838e62c
Authors
Tsung-Hsiang Chang, Tom Yeh, Robert C. Miller
Cite this paper
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Citations preserve the selected source edition, its authors and recorded date precision. Unrecorded venues and identifiers are omitted.
Publication record
- Title
- GUI Testing Using Computer Vision
- Authors
- Tsung-Hsiang Chang, Tom Yeh, Robert C. Miller
- Publication date (recorded precision)
- 2010-04
- Venue
- Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI '10)
- Pages
- 1535-1544
- DOI
- 10.1145/1753326.1753555
Publication BibTeX · Publication CSL JSON
Date source: Supplied month precision: 2010-04. Date Issued: April 2010
Source notes: Distinct visual-testing contribution from the 2009 Sikuli paper. The institutional abstract and published-version citation supply the retained evidence. Exact publication day and operating-system coverage are not established in the accessible institutional abstract.
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Scope and limitations
The annotation was reviewed against retained primary publication sources. Experiments have not been independently reproduced. This is a separate visual-testing contribution from the 2009 Sikuli paper, not another version of the same article. MIT PDF download returned HTTP 429; its complete institutional abstract and citation metadata remain the retained review source.
Connected assets
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- Documented resource: Sikuli legacy research implementation · Tools · relationship evidence
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dbace77c54d1b4ed5dcf825dcb0f4525c32e33ac885e70312e8bb4a731a94e80 - editorial primary review
Retrieved 2026-10-17T09:53:21Z. Supports: details.publication.authors, details.publication.date_basis, details.publication.date_parts, details.publication.doi, details.publication.identity_basis, details.publication.notes, details.publication.pages, details.publication.title, details.publication.type, details.publication.url, details.publication.venue, environments, kind, name, scope, summary, topics.
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