Reference : Applying Product Line Use Case Modeling in an Industrial Automotive Embedded System: ...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/21598
Applying Product Line Use Case Modeling in an Industrial Automotive Embedded System: Lessons Learned and a Refined Approach
English
Hajri, Ines mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Göknil, Arda mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Stephany, Thierry mailto [IEE]
3-Oct-2015
2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), September 30 - October 2, 2015, Ottawa, ON, Canada
Yes
International
2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
from 30-09-2015 to 02-10-2015
Ottawa
Canada
[en] In this paper, we propose, apply, and assess Product line Use case modeling Method (PUM), an approach that supports modeling variability at different levels of granularity in use cases and domain models. Our motivation is that, in many software development environments, use case modeling drives interactions among stakeholders and, therefore, use cases and domain models are common practice for requirements elicitation and analysis. In PUM, we integrate and adapt existing product line extensions for use cases and introduce some template extensions for use case specifications. Variability is captured in use case diagrams while it is reflected at a greater level of detail in use case specifications. Variability in domain concepts is captured in domain models. PUM is supported by a tool relying on Natural Language Processing (NLP). We successfully applied PUM to an industrial automotive embedded system and report lessons learned and results from structured interviews with experienced engineers.
http://hdl.handle.net/10993/21598

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