LEADER 01208nam0-22003851i-450 001 990001317300403321 005 20190409110826.0 010 $a0-8218-4517-9 035 $a000131730 035 $aFED01000131730 035 $a(Aleph)000131730FED01 035 $a000131730 100 $a20001205d1986----km-y0itay50------ba 101 0 $aeng 200 1 $aIll-posed problems of mathematical physics and analysis$fM.M. Lavrent'ev, V. G. Romanov, S. P. Shishatskii 210 $aProvidence$cAmerican Mathematical Society$d1986 215 $avi, 290 p.$d24 cm 225 1 $aTranslations of mathematical monographs$v64 610 0 $aProblemi inversi 610 0 $aFisica matematica 676 $a530.1 700 1$aLavrent?ev,$bMiklail Miklaîlovi?$0535937 701 1$aRomanov,$bVladimir Gavrilovi?$040743 701 1$aShishatskii,$bSergei Petrovich$059675 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001317300403321 952 $aC-29-(64$b8740$fMA1 952 $a02 68 D 9$b52 60$fFINBN 959 $aFINBN 959 $aMA1 962 $a35R30 962 $a45D05 996 $aIll-posed problems of mathematical physics and analysis$91549621 997 $aUNINA LEADER 04648nam 22006375 450 001 9910495187103321 005 20250425004814.0 010 $a3-030-86044-2 024 7 $a10.1007/978-3-030-86044-8 035 $a(CKB)4100000012009076 035 $a(MiAaPQ)EBC6712996 035 $a(Au-PeEL)EBL6712996 035 $a(OCoLC)1265463178 035 $a(PPN)257350888 035 $a(DE-He213)978-3-030-86044-8 035 $a(EXLCZ)994100000012009076 100 $a20210825d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSoftware Architecture $e15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings /$fedited by Stefan Biffl, Elena Navarro, Welf Löwe, Marjan Sirjani, Raffaela Mirandola, Danny Weyns 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (339 pages) 225 1 $aProgramming and Software Engineering,$x2945-9168 ;$v12857 311 08$a3-030-86043-4 327 $aArchitectures for reconfigurable and self-adaptive systems -- Dynamic Updates of Virtual PLCs deployed as Kubernetes Microservices -- A runtime safety enforcement approach by monitoring and adaptation -- Towards a Taxonomy of Autonomous Systems -- Machine learning for Software Architecture -- Explaining Architectural Tradeoff Spaces: a Machine Learning Approach -- A Machine Learning Approach to Service Discovery for Microservice Architectures -- FLRA: A Reference Architecture for Federated Learning Systems -- Architectural knowledge, decisions, and rationale -- Tracelink Recovery for Software Architecture Documentation -- An Exploratory Study on Architectural Knowledge in Issue Tracking Systems -- Human Behavior-Oriented Architectural Design -- Architecting for Quality Attributes -- Updating Service-based Software Systems in Air-Gapped Environments -- Energy-Aware Robotics Software: A Catalog of Architectural Tactics from the ROS Ecosystem -- Taxonomy of Edge Blockchain Network Designs -- Impact analysis of software parallelism in big data technologies for data-intensive architectures -- Architecture-centric Source Code Analysis -- State of the Practice in Application Programming Interfaces (APIs): A Case Study -- Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors -- Optimized Dependency Weights in Source Code Clustering -- Experiences and Learnings from Industrial Case Studies -- Reliable Event Routing in the Cloud and on the Edge: An Internet-of-Things Solution in the AgeTech Domain -- An Experience Report on Modernizing I/O Configuration Software -- Enabling SMEs to Industry 4.0 using the BaSyx middleware: a case study -- Software Architectures for Edge Analytics: A Survey -- How Software Architects Focus Their Attention. 330 $aThis book constitutes the refereed proceedings of the 15th International Conference on Software Architecture, ECSA 2021, held in Sweden, in September 2021. Due to the COVID-19 pandemic, the conference was held virtually. For the Research Track, 11 full papers, presented together with 5 short papers, were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections as follows: architectures for reconfigurable and self-adaptive systems; machine learning for software architecture; architectural knowledge, decisions, and rationale; architecting for quality attributes; architecture-centric source code analysis; and experiences and learnings from industrial case studies. 410 0$aProgramming and Software Engineering,$x2945-9168 ;$v12857 606 $aSoftware engineering 606 $aComputer systems 606 $aComputer networks 606 $aApplication software 606 $aSoftware Engineering 606 $aComputer System Implementation 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 615 0$aSoftware engineering. 615 0$aComputer systems. 615 0$aComputer networks. 615 0$aApplication software. 615 14$aSoftware Engineering. 615 24$aComputer System Implementation. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 676 $a005.1 702 $aBiffl$b Stefan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495187103321 996 $aSoftware Architecture$9772205 997 $aUNINA