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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Rogers, Mark (DesignerIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Waltham, Massachusetts Morgan Kaufmann [2015]
Schlagwörter:
Links:http://www.sciencedirect.com/science/book/9780124172951
http://www.sciencedirect.com/science/book/9780124172951
Zusammenfassung: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
Beschreibung:Includes bibliographical references (pages 357-378) and index
Umfang:1 online resource (xxvii, 386 pages) illustrations (some color)
ISBN:9780124173071
0124173071