Sharing Data and Models in Software Engineering

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Software Development, General Computing
Cover of the book Sharing Data and Models in Software Engineering by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters ISBN: 9780124173071
Publisher: Elsevier Science Publication: December 22, 2014
Imprint: Morgan Kaufmann Language: English
Author: Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
ISBN: 9780124173071
Publisher: Elsevier Science
Publication: December 22, 2014
Imprint: Morgan Kaufmann
Language: English

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.

  • Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering
  • Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls
  • Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research
  • Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Cumulative Subject Index by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Nerves and Nerve Injuries by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book An Introduction to MATLAB® Programming and Numerical Methods for Engineers by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Human Remains: Another Dimension by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Computational Methods in Engineering by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Structure and Functions of Contractile Proteins by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Introductory Immunology by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Collective Action 2.0 by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Industrial Applications of Lasers by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Financing Entrepreneurship and Innovation in Emerging Markets by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Resident Stem Cells and Regenerative Therapy by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Haschek and Rousseaux's Handbook of Toxicologic Pathology by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Nanostructured Metals and Alloys by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Wnt Signaling in Embryonic Development by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
Cover of the book Personality Development Across the Lifespan by Tim Menzies, Ekrem Kocaguneli, Burak Turhan, Leandro Minku, Fayola Peters
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy