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Configuration guidée des lignes de produits basée sur les traces de processus

Abstract : Product lines present a production strategy that provides organizations a competitive edge by improving productivity and fostering customization. However, the potential benefits of product lines can be missed when dealing with large variability models implying hundreds of variants leading, sometimes, to billions of possible configurations. Indeed, the configuration process becomes an error prone task due to the plethora of requirements and constraints to satisfy at the same time. Consequently, guiding the stakeholders during such complex configuration processes and recommending the best configuration alternatives until leading them to a satisfying experience becomes a challenge. This phd project focuses on enhancing product line configuration processes based on process traces. Therefore, stakeholder actions of previous product line configurations are logged, mined and analyzed. Afterwards, guidance solutions are devised and orchestrated throughout the configuration process. This phd project includes the following main contributions : (i) A state of the art of product line configuration shortcomings and existing solutions, (ii) A tooled method for product line configuration guidance baptized ConfiLog; the method includes event logs extraction, process mining treatments evaluated by a Goal-Question-Metric method and a recommendation engine, (iii) A Proof of concept to demonstrate that ConfiLog guidance is generic and can monitor all product lines, (iv) Tooling instruments that support the ConfiLog method, (v) An evaluation of the ConfiLog method with an Empirical Study With Students (ESWS) using a real bike line.
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Submitted on : Friday, January 21, 2022 - 7:15:21 PM
Last modification on : Friday, April 29, 2022 - 10:12:39 AM


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  • HAL Id : tel-03277036, version 2



Houssem Chemingui. Configuration guidée des lignes de produits basée sur les traces de processus. Ingénierie, finance et science [cs.CE]. Université Panthéon-Sorbonne - Paris I; Université de la Manouba (Tunisie), 2021. Français. ⟨NNT : 2021PA01E036⟩. ⟨tel-03277036v2⟩



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