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                <identifier>oai:data.mendeley.com/bwsyv45b9m.1</identifier>
                <datestamp>2026-06-03T19:20:33Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0002-7935-3612">Pereira, Juanan</dc:creator>
    <dc:title>Replication Package: An Empirical Investigation of Large Language Models for Automated Software Compliance Testing: Evidence from Web Accessibility</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This replication package accompanies the paper &quot;An Empirical Investigation of Large Language Models for Automated Software Compliance Testing: Evidence from Web Accessibility&quot; published in Information and Software Technology.

Contents:
- Test specifications for 384 W3C ACT test cases across 39 WCAG 2 AA success criteria
- Evaluation scripts for seven Large Language Models (deepseek-reasoner, deepseek-chat, groq_qwen-qwq-32b, groq_deepseek-r1-distill-llama-70b, gemini-2.0-flash-thinking, groq_qwen-2.5-coder-32b, gemini-2.0-flash)
- Three prompting strategies (Query 000, 110, 111) with five replications each
- Raw LLM outputs for all 40,320 evaluations
- Analysis code and derived datasets
- Traditional tool evaluation results (axe-core, Lighthouse, Pa11y)</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Software</dc:subject>
    <dc:subject>Artificial Intelligence Applications</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0001-7730-0472">López-Gil, Juan-Miguel</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/bwsyv45b9m.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/bwsyv45b9m.1</dc:identifier>
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    <dc:relation>https://data.mendeley.com/datasets/bwsyv45b9m</dc:relation>
    <dc:date>2026-06-03T19:20:33Z</dc:date>
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