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Herausgeber: 
  • Sira Vegas
  • Simone Romano
  • Valentina Lenarduzzi
  • Giuseppe Scanniello
  • Rita Francese
  • Product-Focused Software Process Improvement: 26th International Conference, PROFES 2025, Salerno, Italy, December 1–3, 2025, Proceedings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 2025  
    Genre:  EDV / Informatik 
     
    angewandte informatik / Artificial Intelligence / Computer and Information Systems Applications / Computer Communication Networks / Computers and Education / Künstliche Intelligenz / Lehrmittel, Lerntechnologien, E-Learning / Netzwerk-Hardware
    ISBN:  9783032120885 
    EAN-Code: 
    9783032120885 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  583 
    Illustration:  XVII, 583 p. 132 illus., 110 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Full Research Papers.- Coverage Isn’t Enough: SBFL-Driven Insights into Manually Created vs. Automatically Generated Tests.- AI Alignment for Ethical Compliance and Risk Mitigation in Industrial Applications.- In-House Experimentation Platforms - Motivations, Implementation Characteristics and Challenges.- Writing Aids for Agile Requirements Engineering - A Comparative Study Between Natural Language Processing and Machine Learning.- A Robust LSTM-based Test Selection Method for Self-Driving Cars.- FOSS-chain: Using Blockchain for Open Source Software License Compliance.- Improving the Writing Quality of User Stories: A Canonical Action Research Study.- From Machine Learning Documentation to Requirements: Bridging Processes with Requirements Languages.- Enhancing Python Code Maintainability through Large Language Model-Based Approaches.- Large Language Models for Code Maintainability Improvement: An Exploratory Study.- An Investigation of Low-Code Development Adoption in a Finnish IT Consulting Firm.- Serverless Adoption in Practice: A Socio-Technical Investigation of Motivations, Challenges, and Strategies.- Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study.- Pipelines Under Pressure: An Empirical Study of Security Misconfigurations of GitHub Workflows.- Towards Effective Automation of Issue–Commit Link Recovery: An Empirical Investigation.- Policy-driven Software Bill of Materials on GitHub: An Empirical Study.- Generating Business Process Models with Open Source Large Language Models using Instruction Tuning.- Temporal Evolution of Architectural Complexity and Technical Debt in Microservices: An Exploratory Case Study.- Improving Behavior-Driven Development Scenarios: Empirical Evaluation of a Quality Assement Framework.- Application of Large Language Models in Product Management: A Systematic Literature Review.- Detecting Technical Debt in Source Code Changes using Large Language Models.- Towards Understanding Team Congestion in Large-Scale Software Development.- Influence of LLM Prioritizations on Human Decisions in Requirements Engineering.- Short Research Papers.- Lab Package Development as a Means for Educating Software Engineering Students.- A Model-Driven Engineering Method for the Development of Digital Twins.- LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code.- Learning Observability Tracing Through Experiential Learning.- Privacy-Enhanced Software Design: Purpose-Aware UML Diagrams.- Requirements Communication at the Intersection between RE and UX.- Architecture Degradation at Scale: Challenges and Insights from Practice.- From Scenario Selection to Simulation: Safety Testing of an Automated Driving System.- Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings.- An Application of Program Mutations For Generating Negative Test Scripts Mimicking Human Errors on Web Applications.- MAPS-AI – A Tool for AI-Assisted Model-Driven Generation of IT Project Plan and Scope.- Ticket-Augmented Just-in-Time Defect Prediction.- How Well Small Language Models Can Be Adapted for Software Maintenance and Refactoring Tasks.- Cost of Artificial Intelligence in Finnish Software Companies: A Survey.- Exploring the Performance of ML Model Size for Classification in Relation to Energy Consumption.- Towards Understanding the Developer Experience in Quantum Software Development.- On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code.- Detecting and Characterizing Low and No Functionality Packages in the NPM Ecosystem.- PostItFlow: An Early Study on Agentic Workflow for Enhancing and Visualizing User Stories.- An Empirical Study of Security-Policy Related Issues in Open Source Projects.

      



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