Sharing data and models in software engineering
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software...
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| Hauptverfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Waltham, MA
Morgan Kaufmann
[2015]
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| Ausgabe: | First edition. |
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| Online-Zugang: | lizenzpflichtig |
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| 520 | |a Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. | ||
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| discipline | Informatik |
| edition | First edition. |
| format | Electronic eBook |
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| spelling | Menzies, Tim VerfasserIn aut Sharing data and models in software engineering Tim Menzies, Ekrem Kocaguneli, Leandro Minku, Fayola Peters, Burak Turhan First edition. Waltham, MA Morgan Kaufmann [2015] ©2015 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references. - Online resource; title from title page (Safari, viewed January 28, 2015) Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Software engineering Data structures (Computer science) Génie logiciel Structures de données (Informatique) Kocaguneli, Ekrem VerfasserIn aut Turhan, Burak VerfasserIn aut Minku, Leandro VerfasserIn aut Peters, Fayola VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9780124172951/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Menzies, Tim Kocaguneli, Ekrem Turhan, Burak Minku, Leandro Peters, Fayola Sharing data and models in software engineering Software engineering Data structures (Computer science) Génie logiciel Structures de données (Informatique) |
| title | Sharing data and models in software engineering |
| title_auth | Sharing data and models in software engineering |
| title_exact_search | Sharing data and models in software engineering |
| title_full | Sharing data and models in software engineering Tim Menzies, Ekrem Kocaguneli, Leandro Minku, Fayola Peters, Burak Turhan |
| title_fullStr | Sharing data and models in software engineering Tim Menzies, Ekrem Kocaguneli, Leandro Minku, Fayola Peters, Burak Turhan |
| title_full_unstemmed | Sharing data and models in software engineering Tim Menzies, Ekrem Kocaguneli, Leandro Minku, Fayola Peters, Burak Turhan |
| title_short | Sharing data and models in software engineering |
| title_sort | sharing data and models in software engineering |
| topic | Software engineering Data structures (Computer science) Génie logiciel Structures de données (Informatique) |
| topic_facet | Software engineering Data structures (Computer science) Génie logiciel Structures de données (Informatique) |
| url | https://learning.oreilly.com/library/view/-/9780124172951/?ar |
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