Systems, Software and Services Process Improvement : 32nd European Conference, EuroSPI 2025, Riga, Latvia, September 17-19, 2025, Proceedings, Part I (Communications in Computer and Information Science)

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Systems, Software and Services Process Improvement : 32nd European Conference, EuroSPI 2025, Riga, Latvia, September 17-19, 2025, Proceedings, Part I (Communications in Computer and Information Science)

Yilmaz, Murat (EDT)/ Clarke, Paul (EDT)/ Riel, Andreas (EDT)

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Springer Nature Switzerland AG（2025/08発売）
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製本 Paperback:紙装版/ペーパーバック版／ページ数 455 p.
言語 ENG
商品コード 9783032042873

Description

(Text)

The 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.

(Table of content)

.- 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-SPICE® 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.
.-