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Sharing Data and Models in Software Engineering
Contributor(s): Menzies, Tim (Author), Kocaguneli, Ekrem (Author), Turhan, Burak (Author)
ISBN: 0124172954     ISBN-13: 9780124172951
Publisher: Morgan Kaufmann Publishers
OUR PRICE:   $80.96  
Product Type: Paperback - Other Formats
Published: December 2014
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Programming - General
- Computers | Software Development & Engineering - General
- Computers | Data Modeling & Design
Dewey: 005.1
Physical Information: 406 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.