Ponencia
Process Mining to Unleash Variability Management: Discovering Configuration Workflows Using Logs
Autor/es | Varela Vaca, Ángel Jesús
Galindo Duarte, José Ángel Ramos Gutiérrez, Belén Gómez López, María Teresa Benavides Cuevas, David Felipe |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2019 |
Fecha de depósito | 2022-05-17 |
Publicado en |
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ISBN/ISSN | 978-1-4503-7138-4 |
Resumen | Variability models are used to build configurators. Configurators
are programs that guide users through the configuration process
to reach a desired configuration that fulfils user requirements. The
same variability ... Variability models are used to build configurators. Configurators are programs that guide users through the configuration process to reach a desired configuration that fulfils user requirements. The same variability model can be used to design different configura tors employing different techniques. One of the elements that can change in a configurator is the configuration workflow, i.e., the order and sequence in which the different configuration elements are presented to the configuration stakeholders. When developing a configurator, a challenge is to decide the configuration workflow that better suites stakeholders according to previous configurations. For example, when configuring a Linux distribution, the configura tion process start by choosing the network or the graphic card, and then other packages with respect to a given sequence. In this paper, we present COnfiguration workfLOw proceSS mIning (COLOSSI), an automated technique that given a set of logs of previous configu rations and a variability model can automatically assist to determine the configuration workflow that better fits the configuration logs generated by user activities. The technique is based on process discovery, commonly used in the process mining area, with an adaptation to configuration contexts. Our proposal is validated us ing existing data from an ERP configuration environment showing its feasibility. Furthermore, we open the door to new applications of process mining techniques in different areas of software product line engineering. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España |
Identificador del proyecto | RTI2018-094283-B-C33 |
Cita | Varela Vaca, Á.J., Galindo Duarte, J.Á., Ramos Gutiérrez, B., Gómez López, M.T. y Benavides Cuevas, D.F. (2019). Process Mining to Unleash Variability Management: Discovering Configuration Workflows Using Logs. En SPL 2019: 23rd International Systems and Software Product Line Conference (265-276), Paris, France: Association for Computing Machinery (ACM). |
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