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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (PREPRINT, TO APPEAR IN 2022)1SkillVet: Automated Traceability Analysis of Amazon Alexa Skills Jide S Edu, Xavier FerrerAran, Jose Such, Guillermo
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Start by identifying the key requirements and components of the system or project.
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Automated traceability analysis refers to the systematic evaluation and tracking of data related to the production and distribution processes in a business, facilitating quick access to information about product history and movements.
Entities involved in the supply chain such as manufacturers, distributors, and retailers are generally required to file automated traceability analysis as part of compliance with industry regulations.
To fill out automated traceability analysis, entities must provide detailed information about product identification, processing steps, and movements through the supply chain, often by using specialized software or templates provided by regulatory bodies.
The purpose of automated traceability analysis is to enhance transparency in the supply chain, improve product safety, facilitate recalls, and ensure compliance with legal requirements.
Information typically required includes product identifiers, transaction history, locations of storage and distribution, dates of key events, and any relevant compliance data.
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