Abstract
Post-localization quality assessment for Persian-localized websites remains underserved by existing generic localization frameworks, which inadequately address Persian-specific linguistic, cultural, and technical demands. This study aimed to identify and compile the essential components for a preliminary Persian Website Post-Localization Testing (PWPLT) framework by systematically integrating evidence from the literature, stakeholder perspectives, and expert knowledge. A sequential mixed-methods design was employed across three phases: qualitative content analysis of 143 documents, a 44-item Likert-scale questionnaire administered to 100 purposively sampled stakeholders (translators, localization specialists, and web developers), and semi-structured interviews with 15 localization experts, analyzed thematically. The study was grounded in translation quality assessment frameworks and Skopos Theory, and organized findings across four dimensions: linguistic accuracy, cultural appropriateness, functional reliability, and cosmetic usability. Document analysis yielded 42 recurring evaluation components. Questionnaire results confirmed strong stakeholder endorsement of all 42 items, while diagnostic items indicated that generic QA models are not considered adequate for Persian-specific contexts. Expert interviews generated 20 themes that operationalized, deepened, and contextualized the preliminary components, highlighting Persian-specific concerns such as right-to-left (RTL) directionality, Islamic cultural compliance, terminological consistency, multimedia localization, and cross-functional collaboration. These findings collectively constitute a preliminary PWPLT framework tailored to the linguistic, cultural, and technical demands of Persian website localization. The study contributes a context-specific component framework to the localization quality assessment literature; the subsequent development and validation of the rubric will be reported in a study currently in progress.