Guiding the evolution of product-line configurations

Author:

Nieke Michael,Sampaio Gabriela,Thüm Thomas,Seidl Christoph,Teixeira Leopoldo,Schaefer Ina

Abstract

AbstractA product line is an approach for systematically managing configuration options of customizable systems, usually by means of features. Products are generated for configurations consisting of selected features. Product-line evolution can lead to unintended changes to product behavior. We illustrate that updating configurations after product-line evolution requires decisions of both, domain engineers responsible for product-line evolution as well as application engineers responsible for configurations. The challenge is that domain and application engineers might not be able to interact with each other. We propose a formal foundation and a methodology that enables domain engineers to guide application engineers through configuration evolution by sharing knowledge on product-line evolution and by defining automatic update operations for configurations. As an effect, we enable knowledge transfer between those engineers without the need for interactions. We evaluate our methodology on four large-scale industrial product lines. The results of the qualitative evaluation indicate that our method is flexible enough for real-world product-line evolution. The quantitative evaluation indicates that we detect product behavior changes for up to $$55.3\%$$ 55.3 % of the configurations which would not have been detected using existing methods.

Funder

Deutsche Forschungsgemeinschaft

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Bundesministerium für Bildung und Forschung

Fundação de Amparo á Ciência e Tecnologia do Estado de Pernambuco

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Modeling and Simulation,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Collecting Feature Models from the Literature: A Comprehensive Dataset for Benchmarking;28th ACM International Systems and Software Product Line Conference;2024-09-02

2. Multi-Version Decision Propagation for Configuring Feature Models in Space and Time;28th ACM International Systems and Software Product Line Conference;2024-09-02

3. Reusing d-DNNFs for Efficient Feature-Model Counting;ACM Transactions on Software Engineering and Methodology;2024-07-30

4. Complex product configuration updating oriented by changing customer requirements;Journal of Engineering Design;2023-07-03

5. Colla-Config: A stakeholders preferences-based approach for product lines collaborative configuration;Journal of Systems and Software;2023-03

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