You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Managing Variability in SysML Models of Automotive Systems

Fulltext:


Authors:


Publication Type:

Licentiate Thesis


Abstract

Organizations developing software-intensive systems inevitably face increasing complexity of developed products, mainly due to rapid advancements in all domains of technology. Many such organizations are considering model-based systems engineering (MBSE) practices to cope with the increasing complexity. The use of models, as a central role during product design, promises to provide benefits such as enhanced communication among system stakeholders, continuous verification, improved design integrity, traceability between requirements and system artifacts and many more. Additionally, products are often built in many variants. That is especially obvious in the automotive domain, where customers have the ability to configure vehicles with hundreds of configuration options. To deal with the variability, a product line engineering approach is often used. It allows the development of a family of similar software-intensive systems that share a common base while being adapted to individual customer requirements.In this thesis, the overall goal is to evaluate and facilitate the combination of the two mentioned approaches, model-based systems engineering and product line engineering, in an industrial environment. To achieve the main thesis goal, it was divided into three separate research goals.The first goal was to identify challenges when applying an annotation-based approach for variant management in SysML models on a use case provided by Volvo Construction Equipment. The aim was to identify and understand challenges when using existing tool support to manage variants in implementation artifacts of existing products. The second research goal was to identify reuse-related challenges in the ``clone-and-own'' based development process of Volvo CE. Moreover, we assess the effects of model-based product line engineering on the identified challenges. Lastly, the third research goal was to develop an approach for consistency checking between variability- and SysML system models. To achieve that, we develop an integrated tool chain for model-based product line engineering that allows the integration of variable artifacts, which are not documented in system models, into the development process. Secondly, we define and develop an approach for consistency checking between variability models that describe the system in terms of features and implementation models that describe how variability is implemented in the product itself, since such support does not exist in current state of the art tools.In conclusion, based on the results from the results of case studies at Volvo CE, it was shown that model-based product line engineering has the potential to improve communication and highlight implications of variability to stakeholders (e.g. to non-technical staff), improve traceability between variability in requirements and variability in design and implementation, improve consistency through constraints between variants and automate repetitive activities.In other words, it shows potential for improving product quality while reducing the development lead time. However, the evaluation and measurement of improvement will be left for future work as measuring the product quality and lead time requires an organizational roll out of model-based product-line engineering.

Bibtex

@misc{Bilic6122,
author = {Damir Bilic},
title = {Managing Variability in SysML Models of Automotive Systems},
month = {November},
year = {2020},
url = {http://www.es.mdh.se/publications/6122-}
}