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International Workshop on Variability Management for Modern Technologies (VM4ModernTech 2022)

Abstract

Implementing variability in a software system allows developers to deal with different customer needs and requirements---establishing a family of related system variants. Variability can be managed through opportunistic (e.g., clone-and-own) or systematic strategies (e.g., a software product line). In the product-line community, variability management has been researched for systems in numerous domains, such as defense, avionics, or finance, and for various platforms, such as desktops, web applications, or embedded systems. Unfortunately, other research communities; especially those working on modern technologies, such as microservice architectures, cyber-physical systems, robotics, cloud computing, autonomous driving, or ML/AI-based systems; are less aware of the respective state-of-the-art in variability management. Consequently, these communities face similar problems and start to redeveloped similar solutions as the product-line community already did. With the International Workshop on Variability Management for Modern Technologies, we intend to foster and strengthen synergies between the communities regarding variability management for modern technologies. We aim to attract researchers and practitioners to contribute processes, techniques, tools, empirical studies, problem descriptions, or solutions that are connected to reuse and variability management for modern technologies. By inviting different communities and initiating collaborations between them, we hope that VM4ModernTech raises the interest of researchers outside the product-line community for variability management, and thus avoid expensive redevelopments.

Authors

Krüger J; Assunção WKG; Ayala I; Mosser S

Pagination

pp. 266-266

Publisher

Association for Computing Machinery (ACM)

Publication Date

September 12, 2022

DOI

10.1145/3546932.3547019

Name of conference

Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A
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