Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering
Author :
Publisher : Morgan Kaufmann
Total Pages : 410
Release :
ISBN-10 : 9780128042618
ISBN-13 : 0128042613
Rating : 4/5 (613 Downloads)

Book Synopsis Perspectives on Data Science for Software Engineering by : Tim Menzies

Download or read book Perspectives on Data Science for Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2016-07-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community's leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. - Presents the wisdom of community experts, derived from a summit on software analytics - Provides contributed chapters that share discrete ideas and technique from the trenches - Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data - Presented in clear chapters designed to be applicable across many domains


Perspectives on Data Science for Software Engineering Related Books

Systems Engineering in the Fourth Industrial Revolution
Language: en
Pages: 656
Authors: Ron S. Kenett
Categories: Technology & Engineering
Type: BOOK - Published: 2019-12-24 - Publisher: John Wiley & Sons

GET EBOOK

An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in th
Perspectives on Data Science for Software Engineering
Language: en
Pages: 410
Authors: Tim Menzies
Categories: Computers
Type: BOOK - Published: 2016-07-14 - Publisher: Morgan Kaufmann

GET EBOOK

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was cr
Data Analytics for Intelligent Transportation Systems
Language: en
Pages: 572
Authors: Mashrur Chowdhury
Categories: Computers
Type: BOOK - Published: 2024-11-02 - Publisher: Elsevier

GET EBOOK

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS),
Data Analytics in System Engineering
Language: en
Pages: 550
Authors: Radek Silhavy
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

GET EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.