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Titlebook: Optimising the Software Development Process with Artificial Intelligence; José Raúl Romero,Inmaculada Medina-Bulo,Francisco Book 2023 The

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發(fā)表于 2025-3-21 17:26:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Optimising the Software Development Process with Artificial Intelligence
編輯José Raúl Romero,Inmaculada Medina-Bulo,Francisco
視頻videohttp://file.papertrans.cn/704/703127/703127.mp4
概述Presents practical and reproducible examples.Covers the individual phases of the software development lifecycle.Written by leading researchers in the field of AI-assisted software process optimization
叢書(shū)名稱Natural Computing Series
圖書(shū)封面Titlebook: Optimising the Software Development Process with Artificial Intelligence; José Raúl Romero,Inmaculada Medina-Bulo,Francisco Book 2023 The
描述This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples.?.Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding,?cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering..
出版日期Book 2023
關(guān)鍵詞Artificial Intelligence; Search-Based Software Engineering; Software development process; machine learn
版次1
doihttps://doi.org/10.1007/978-981-19-9948-2
isbn_softcover978-981-19-9950-5
isbn_ebook978-981-19-9948-2Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Book 2023, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering..
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Artificial Intelligence in Software Project Managementle in supporting software project managers, enabling them to make more informed management decisions. This chapter discusses how artificial intelligence techniques can support software project managers with two key software project management activities: software project scheduling and software effort estimation.
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1619-7127 rs in the field of AI-assisted software process optimizationThis book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All
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Cloud Development and?Deploymentes will be applied to deployment scenarios based on empirically obtained data from real-world web services and highly-configurable software systems. These examples are implemented in Java and C, respectively, providing the source code, build scripts and data sets for the sake of reproducibility.
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