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    Agile Processes in Software Engineering and Extreme Programming – Workshops

    XP 2024 Workshops, Bozen-Bolzano, Italy, June 4–7, 2024, Revised Selected Papers

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    Contributor(s)
    Marchesi, Lodovica (editor)
    Goldman, Alfredo (editor)
    Lunesu, Maria Ilaria (editor)
    Przybyłek, Adam (editor)
    Aguiar, Ademar (editor)
    Morgan, Lorraine (editor)
    Wang, Xiaofeng (editor)
    Pinna, Andrea (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book constitutes revised selected papers from the workshops held at the 25th International Conference on Agile Software Development, XP 2024, which took place in Bozen-Bolzano, Italy, during June 04-07, 2024. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends.  XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Reflect, Adapt, Envision”. The 29 papers included in this volume were carefully reviewed and selected from 58 submissions to the following tracks: International Workshop on Advances in Software Intensive Startups Workshop on AI for Agile Software Engineering (AI4ASE) 2nd International Workshop on Global and Hybrid Work in Software Engineering (GoHyb) 11th International Workshop on Large-Scale Agile Development Workshop on the AI Scrum Master: Incorporating AI Into Your Agile Practices and Processes Agile Training and Education Track PhD Symposium Track Posters Track
    URI
    https://library.oapen.org/handle/20.500.12657/96991
    Keywords
    agile software development; software development techniques; extreme programming; people management; software start-ups; hybrid working; software creation and management; AI in software engineering; large language models; software intensive systems; software teaching
    DOI
    10.1007/978-3-031-72781-8
    ISBN
    9783031727818, 9783031727801, 9783031727818
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2025
    Imprint
    Springer Nature Switzerland
    Series
    Lecture Notes in Business Information Processing, 524
    Classification
    Software Engineering
    Business mathematics and systems
    Business applications
    Educational equipment and technology, computer-aided learning (CAL)
    Pages
    260
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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