Software Architecture : 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings

Stefan Biffl

ISBN 10: 3030860434 / ISBN 13: 9783030860431

Editore: Springer International Publishing, 2021

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 15th International Conference on Software Architecture, ECSA 2021, held in Sweden, in September 2021. Due to the COVID-19 pandemic, the conference was held virtually. For the Research Track, 11 full papers, presented together with 5 short papers, were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections as follows: architectures for reconfigurable and self-adaptive systems; machine learning for software architecture; architectural knowledge, decisions, and rationale; architecting for quality attributes; architecture-centric source code analysis; and experiences and learnings from industrial case studies.

Codice articolo 9783030860431

Dati bibliografici

• Titolo: Software Architecture : 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings
• Editore: Springer International Publishing
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030860434
• ISBN 13: 9783030860431
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 20 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 20 millimetri di profondità
• Peso: 534 grammi

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the 15th International Conference on Software Architecture, ECSA 2021, held in Sweden, in September 2021. Due to the COVID-19 pandemic, the conference was held virtually.
For the Research Track, 11 full papers, presented together with 5 short papers, were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections as follows: architectures for reconfigurable and self-adaptive systems; machine learning for software architecture; architectural knowledge, decisions, and rationale; architecting for quality attributes; architecture-centric source code analysis; and experiences and learnings from industrial case studies.