Titlebook: Software Architecture; 15th European Confer Stefan Biffl,Elena Navarro,Danny Weyns Conference proceedings 2021 Springer Nature Switzerland

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Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approachemains a challenging problem. Moreover, providing guarantees about the satisfaction of those requirements when systems are subject to uncertain environments is even more challenging. While recent developments in architectural analysis techniques can assist architects in exploring the satisfaction of

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FLRA: A Reference Architecture for Federated Learning Systemst sharing the clients’ local data. A federated learning system can be viewed as a large-scale distributed system, involving different components and stakeholders with diverse requirements and constraints. Hence, developing a federated learning system requires both software system design thinking and

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An Exploratory Study on Architectural Knowledge in Issue Tracking Systemsl knowledge concepts (e.g. architectural component behavior, contextual constraints) are textually represented in issues (e.g. as adjectives), (b) which architectural knowledge concepts commonly occur in issues, and (c) which architectural knowledge concepts appear together. We analyzed issues in th

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Updating Service-Based Software Systems in Air-Gapped Environmentse updates. However, stringent security constraints in mission-critical settings often impose compulsory network isolation among systems, also known as air-gap; a prevalent choice in different sectors including private, public or governmental organizations. This raises several issues involving update