Browsing by Autor "Viviane Jonckers"

Now showing 1 - 4 of 4

A High-Level Domain-Specific Language for Business Processes Monitoring and Measurement
(Vrije Universiteit Brussel, 2007) Oscar González-Rojas; Rubby Casallas; Dirk Deridder; Viviane Jonckers
Implementing Operations to Combine Feature Models: The Conditional Intersection Case
(2017) Jaime Chavarriaga; Rubby Casallas; Viviane Jonckers
In order to reduce the complexity of modeling product lines, many authors propose modeling product concerns separately by using multiple feature models. These proposals use well-known operations such as merge, union and slice to compose the models for analysis and engineering. Such operations produce new models that represent sets of products that comply with the semantics of the operations. We use different feature models, which were independently created by various experts, to represent: (1) domain concerns and (2) standards and regulations. When experts want to analyze the interactions among the models, they need to work collaboratively and compose their own models. This paper (1) introduces the Conditional Intersection Merge - an operation to combine a feature model for a domain with a feature model for a standard, in which the resulting model includes an optional feature that represents the standard and a set of constraints that enforce the rules of the standard whenever that feature is selected - (2) presents a review of different techniques that can be applied to implement the aforementioned operation, and (3) describes a new approach to implement operations by combining feature models, which only adds constraints to one of the input models.
Supporting Multi-level Configuration with Feature-Solution Graphs -- Formal Semantics and Alloy Implementation
(Vrije Universiteit Brussel, 2013) Jaime Alberto Chavarriaga Lozano; Carlos Francisco Noguera Garcia; Viviane Jonckers; Rubby Casallas
Using multiple feature models to specify configuration options for electrical transformers
(2015) Jaime Chavarriaga; Carlos Rangel; Carlos Noguera; Rubby Casallas; Viviane Jonckers
Electrical Transformers are complex devices that exhibit an enormous variability depending on the intended power transformation, environmental conditions, standards imposed and customer particularities. Incomplete information or inconsistencies in the specifications can lead to re-processes and higher bid times. This paper presents our experience on using multiple feature models to specify custom Electrical Transformer as a Configuration Process. This process facilitates the elicitation of knowledge from multidisciplinary experts using several feature models, one per domain and per standard and defining relationships among them. This separation of domains eases the analysis and validation of the models. To support the process, we have developed some tools to separate, merge and analyze these models. The final feature models are tested configuring and comparing products from existing company catalogs. We consider that the same strategy can be used in other contexts where experts on multiple disciplines participate.