Software Engineering for Science

2016-11-03 Computers

Author : Jeffrey C. Carver
Release : 2016-11-03
Genre : Computers
Kind : eBook
Book Rating : 862/5 ( reviews)

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Book Synopsis Software Engineering for Science by : Jeffrey C. Carver

Download or read book Software Engineering for Science written by Jeffrey C. Carver. This book was released on 2016-11-03. Available in PDF, EPUB and Kindle. Book excerpt: Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.

The Art and Science of Analyzing Software Data

2015-09-02 Computers

Author : Christian Bird
Release : 2015-09-02
Genre : Computers
Kind : eBook
Book Rating : 438/5 ( reviews)

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Book Synopsis The Art and Science of Analyzing Software Data by : Christian Bird

Download or read book The Art and Science of Analyzing Software Data written by Christian Bird. This book was released on 2015-09-02. Available in PDF, EPUB and Kindle. Book excerpt: The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. - Presents best practices, hints, and tips to analyze data and apply tools in data science projects - Presents research methods and case studies that have emerged over the past few years to further understanding of software data - Shares stories from the trenches of successful data science initiatives in industry

Elements of Software Science

1977 Computers

Author : Maurice Howard Halstead
Release : 1977
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Elements of Software Science by : Maurice Howard Halstead

Download or read book Elements of Software Science written by Maurice Howard Halstead. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt: Book Designed for Computer Professional Linguists, Psychologists, & Mathematicians. Summarizes the Research in Field of Human/Machine Interaction.

Software Engineering Foundations

2007-08-09 Computers

Author : Yingxu Wang
Release : 2007-08-09
Genre : Computers
Kind : eBook
Book Rating : 094/5 ( reviews)

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Book Synopsis Software Engineering Foundations by : Yingxu Wang

Download or read book Software Engineering Foundations written by Yingxu Wang. This book was released on 2007-08-09. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking book in this field, Software Engineering Foundations: A Software Science Perspective integrates the latest research, methodologies, and their applications into a unified theoretical framework. Based on the author's 30 years of experience, it examines a wide range of underlying theories from philosophy, cognitive informatics, denota

Perspectives on Data Science for Software Engineering

2016-07-14 Computers

Author : Tim Menzies
Release : 2016-07-14
Genre : Computers
Kind : eBook
Book Rating : 613/5 ( reviews)

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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. This book was released on 2016-07-14. 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

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Software Engineering for Science

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