Capítulo de Libro
Automated Analysis of Stateful Feature Models
Autor/es | Trinidad Martín Arroyo, Pablo
Ruiz Cortés, Antonio Benavides Cuevas, David Felipe |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2013 |
Fecha de depósito | 2017-10-06 |
Publicado en |
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ISBN/ISSN | 978-3-642-36925-4 |
Resumen | In CAiSE 2005, we interpreted the extraction of relevant information
from extended feature models as an automated reasoning problem based on
constraint programming. Such extraction is driven by a catalogue of basic ... In CAiSE 2005, we interpreted the extraction of relevant information from extended feature models as an automated reasoning problem based on constraint programming. Such extraction is driven by a catalogue of basic and compound operations. Much has been done since, renaming the problem as the automated analysis of feature models, a widely accepted problem in the Software Product Line (SPL) community. In this chapter, we review this seminal contribution and its impact in the community, highlighting the key milestones up to a more complete problem formulation that we coin as the Automated Analysis of Stateful Feature Models (AASFM). Finally, we envision some breakthroughs and challenges in the AASFM. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2009-07366
TIC-5906 |
Cita | Trinidad Martín Arroyo, P., Ruiz Cortés, A., y Benavides Cuevas, D.F. (2013). Automated Analysis of Stateful Feature Models. En Seminal Contributions to Information Systems Engineering: 25 Years of CAiSE (pp. 375-380). Berlin: Springer |
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