LEADER 05979nam 22007815 450 001 9911046543003321 005 20250821130338.0 010 $a3-032-04288-7 024 7 $a10.1007/978-3-032-04288-0 035 $a(CKB)40401788700041 035 $a(MiAaPQ)EBC32269959 035 $a(Au-PeEL)EBL32269959 035 $a(DE-He213)978-3-032-04288-0 035 $a(OCoLC)1535404805 035 $a(EXLCZ)9940401788700041 100 $a20250821d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSystems, Software and Services Process Improvement $e32nd European Conference, EuroSPI 2025, Riga, Latvia, September 17?19, 2025, Proceedings, Part I /$fedited by Murat Yilmaz, Paul Clarke, Andreas Riel, Richard Messnarz, Mikus Zelmenis, Ivi Anna Buce 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (607 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2657 311 08$a3-032-04287-9 327 $a -- SPI and Emerging and Multidisciplinary Approaches to Software Engineering -- Generative IT Products ? be generic to become generative to handle fit for use. -- Explainable AI for SW Development and Testing. -- Baseline Evaluation of LLM-Facilitated UI Test-Case Generation from Gherkin Specifications. -- Hype to Quality: Assessing Generative AI Products Before Use. -- Trustworthy Artificial Intelligence in Healthcare: a proposed framework. -- Current AI-based Software Engineering, Strengths and weaknesses - Results from a MLR. -- Toward the implementation of DevOps: a guide of tools, practices and activities. -- Inner source, outer source, low code, and no code: Pros, Cons and Contexts - Results from an MLR. -- Benchmarking AI-Facilitated UI Test-Script Generation: A Reproducible Evaluation Framework. -- A Review of Estimation in Software Engineering. -- Programming language selection in software engineering: Results from an adapted MLR focused on Go, Haskell, Python and Rust. -- SPI and Standards and Safety and Security Norms. -- A Process Assessment Model for AI-enabled Medical Device Software. -- Advancing Risk Management Processes for Automotive Machine Learning Applications: Optimizing A-SPICEŽ v4.0 with ISO23894 for Safe and Reliable Deployment. -- Automatic assessment of corporate sustainability due diligence process capability and CS3D compliance. -- Regulatory Compliance-aware System Change Management via an Ontology-based Approach. -- Electromechanic for Development of Embedded Systems. -- Strengthen Process Debt Identification through Process Assessment Standards. -- A Review of AI Life Cycle-related Standards to Address AI-enabled Medical Device Development. -- Interpretations of Automotive SPICE Generic Practices on Level 2. -- Evaluation of IEC 61508 Defenses for Common Cause Failures in Railway Industry. -- Interfaces between Quality Assurance and ASPICE Assessment and Improvement. -- SPI and Functional Safety and Cybersecurity. -- Cybersecurity vulnerabilities management for small and medium enterprises. -- Security and safety interrelationships in the V2X context A brief comparison of typical techniques and requirements of standards. -- Efficiency boosters for the successful execution of functional safety. -- Enhancing Automotive TARA: The Role of Attacker Motivation in Attack Feasibility Levels. -- Multi-Layer non-project-based TARA. -- Updated Experiences with Using ASPICE 4.0 for Safety Audits and Interfacing Safety Assessments. 330 $aThe two-volume set CCIS 2657 + 2658 constitutes the refereed proceedings of the 32nd European Conference on Systems, Software and Services Process Improvement, EuroSPI 2025, held in Riga, Latvia, during September 17-19, 2025. The 42 papers included in these proceedings were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Part I: SPI and Emerging and Multidisciplinary Approaches to Software Engineering; SPI and Standards and Safety and Security Norms; SPI and Functional Safety and Cybersecurity. Part II: Sustainability and Life Cycle Challenges; SPI and Recent Innovations; Digitalisation of Industry, Infrastructure and E-Mobility; SPI and Agile. . 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2657 606 $aElectronic data processing$xManagement 606 $aSoftware engineering 606 $aApplication software 606 $aComputer networks 606 $aComputer systems 606 $aArtificial intelligence 606 $aIT Operations 606 $aSoftware Engineering 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aArtificial Intelligence 615 0$aElectronic data processing$xManagement. 615 0$aSoftware engineering. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aArtificial intelligence. 615 14$aIT Operations. 615 24$aSoftware Engineering. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aArtificial Intelligence. 676 $a004.068 700 $aY?lmaz$b Murat$01875162 701 $aClarke$b Paul$0862596 701 $aRiel$b Andreas$01423704 701 $aMessnarz$b Richard$01423705 701 $aZelmenis$b Mikus$01862478 701 $aBuce$b Ivi Anna$01862479 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046543003321 996 $aSystems, Software and Services Process Improvement$94529592 997 $aUNINA