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Continuous Quality Control for Continuous Delivery

Continuous Quality Control for Continuous Delivery

Uwe Zdun (ORCID: 0000-0002-6233-2591)
  • Grant DOI 10.55776/I6510
  • Funding program Principal Investigator Projects International
  • Status ongoing
  • Start September 30, 2024
  • End October 29, 2027
  • Funding amount € 270,018

Weave: Österreich - Belgien - Deutschland - Luxemburg - Polen - Schweiz - Slowenien - Tschechien

Disciplines

Computer Sciences (100%)

Keywords

    Continuous Delivery, DevOps, Software-Architecture, Performance Engineering, Reliability Engineering, Resilience Engineering

Abstract

In todays fast-paced world of software development, organizations rely heavily on Continuous Delivery (CD) systems to automate and speed up the process of building, testing, and releasing software. CD systems are essential for modern software companies. They help developers to release new features and updates quickly and reliably. However, as these systems grow more complex, they can suffer from issues that slow development and affect the quality of the delivered software. By understanding and improving CD systems, we can help businesses release better software faster and with fewer problems. The CQ4CD project aims to fill this gap by exploring how to make CD systems more efficient, reliable, and resilient. The CQ4CD project focuses on three main questions: 1. How can we clearly define the best practices for CD systems? The project will study existing CD practices and develop clear guidelines to help teams avoid common pitfalls. 2. How can we support the evolution of CD systems to ensure they remain efficient and reliable? The project will create tools and methods to help teams systematically improve their CD systems over time. 3. How can we automatically enhance CD systems to make them perform better and be more reliable? The project will develop ways to automatically adjust CD systems based on performance data, ensuring they are always optimized. To tackle these questions, the CQ4CD project will: 1. Develop clear specifications for CD architectures, reducing complexity and improving quality. 2. Create tools to automatically detect whether a CD system follows best practices and is free from common issues. 3. Provide models and benchmarks to analyze and improve CD system performance, reliability, and resilience. 4. Continuously optimize CD systems based on real-world data, ensuring they adapt to changing needs. While CD systems are widely used, their construction and evolution have yet to be thoroughly researched. The CQ4CD project is unique in its focus on improving the CD systems rather than just the software they deliver. By providing new insights and tools, this project aims to help organizations make better decisions about their CD systems, leading to improved software quality and faster software delivery times.

Research institution(s)
  • Universität Wien - 100%
International project participants
  • Janick Edinger - Germany, international project partner

Research Output

  • 3 Publications
Publications
  • 2025
    Title AI-Powered Architecting for Industry 4.0 Cyber-Physical Production Systems: A Novel Approach, Research Problems and Challenges
    DOI 10.1007/978-3-032-04403-7_15
    Type Book Chapter
    Author Warnett S
    Publisher Springer Nature
    Pages 155-168
    Link Publication
  • 2025
    Title ML Pipeline Insights Service for Rule-Based Assessment of Training Practices in Reinforcement Learning
    DOI 10.1007/978-3-032-04190-6_10
    Type Book Chapter
    Author Ntentos E
    Publisher Springer Nature
    Pages 148-163
    Link Publication
  • 2025
    Title Architectural Design Decisions and Best Practices for Fast and Efficient CI/CD Pipelines
    DOI 10.1007/978-3-032-02138-0_19
    Type Book Chapter
    Author Urdih F
    Publisher Springer Nature
    Pages 297-305
    Link Publication

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