Detecting inconsistencies in annotated product line modelsShow others and affiliations
2020 (English)In: SPLC '20: Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A, Association for Computing Machinery , 2020, p. 252-262Conference paper, Published paper (Refereed)
Abstract [en]
Model-based product line engineering applies the reuse practices from product line engineering with graphical modeling for the specification of software intensive systems. Variability is usually described in separate variability models, while the implementation of the variable systems is specified in system models that use modeling languages such as SysML. Most of the SysML modeling tools with variability support, implement the annotation-based modeling approach. Annotated product line models tend to be error-prone since the modeler implicitly describes every possible variant in a single system model. To identifying variability-related inconsistencies, in this paper, we firstly define restrictions on the use of SysML for annotative modeling in order to avoid situations where resulting instances of the annotated model may contain ambiguous model constructs. Secondly, inter-feature constraints are extracted from the annotated model, based on relations between elements that are annotated with features. By analyzing the constraints, we can identify if the combined variability- and system model can result in incorrect or ambiguous instances. The evaluation of our prototype implementation shows the potential of our approach by identifying inconsistencies in the product line model of our industrial partner which went undetected through several iterations of the model.
Place, publisher, year, edition, pages
Association for Computing Machinery , 2020. p. 252-262
Keywords [en]
consistency checking, model-based systems engineering, product line engineering, SysML, variability modeling, Computer software reusability, Industrial partners, Model-based product lines, Modeling construct, Product line model, Prototype implementations, Software intensive systems, Variability model, Modeling languages
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-51949DOI: 10.1145/3382025.3414969Scopus ID: 2-s2.0-85097834993ISBN: 9781450375696 (print)OAI: oai:DiVA.org:ri-51949DiVA, id: diva2:1521242
Conference
24th ACM Conference on Systems and Software Product Line, SPLC 2020, 19 October 2020 through 23 October 2020
Note
Funding details: Vetenskapsrådet, VR; Funding details: Stiftelsen för Kunskaps- och Kompetensutveckling, KKS, 20170133; Funding details: Horizon 2020 Framework Programme, H2020, 871319; Funding text 1: This work was sponsored by the Swedish Research Council's grant "Adequacy-based Testing of Extra-Functional Properties of Embedded Systems", the Knowledge Foundation in Sweden through the MINEStrA project (20170133) and European Union's Horizon 2020 research and innovation programme under grant agreement No 871319.
2021-01-222021-01-222023-06-05Bibliographically approved