Sharing Data and Models in Software Engineering

Sharing Data and Models in Software Engineering
Author :
Publisher : Morgan Kaufmann
Total Pages : 415
Release :
ISBN-10 : 9780124173071
ISBN-13 : 0124173071
Rating : 4/5 (71 Downloads)

Book Synopsis Sharing Data and Models in Software Engineering by : Tim Menzies

Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Sharing Data and Models in Software Engineering Related Books

Sharing Data and Models in Software Engineering
Language: en
Pages: 415
Authors: Tim Menzies
Categories: Computers
Type: BOOK - Published: 2014-12-22 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results
How to Engineer Software
Language: en
Pages: 1188
Authors: Steve Tockey
Categories: Computers
Type: BOOK - Published: 2019-09-10 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem How to Engineer
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

DOWNLOAD 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
Contemporary Empirical Methods in Software Engineering
Language: en
Pages: 520
Authors: Michael Felderer
Categories: Computers
Type: BOOK - Published: 2020-08-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and
Software Modeling and Design
Language: en
Pages: 577
Authors: Hassan Gomaa
Categories: Computers
Type: BOOK - Published: 2011-02-21 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book covers all you need to know to model and design software applications from use cases to software architectures in UML and shows how to apply the COMET