The Art and Science of Analyzing Software Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Art and Science of Analyzing Software Data write by Christian Bird. This book was released on 2015-09-02. The Art and Science of Analyzing Software Data available in PDF, EPUB and Kindle. 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
The Art and Science of Analyzing Software Data: Analysis Patterns
The Art and Science of Analyzing Software Data: Analysis Patterns - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Art and Science of Analyzing Software Data: Analysis Patterns write by . This book was released on . The Art and Science of Analyzing Software Data: Analysis Patterns available in PDF, EPUB and Kindle.
Product-Focused Software Process Improvement
Product-Focused Software Process Improvement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Product-Focused Software Process Improvement write by Michael Felderer. This book was released on 2017-11-10. Product-Focused Software Process Improvement available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 18th International Conference on Product-Focused Software Process Improvement, PROFES 2017, held in Innsbruck, Austria, in November/December 2017. The 17 revised full papers presented together with 10 short papers, 21 workshop papers. 3 posters and tool demonstrations papers, and 4 tutorials were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on : Agile software Development; Data science and analytics; Software engineering processes and frameworks; Industry relevant qualitative research; User and value centric approaches; Software startups; Serum; Software testing.
Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media write by Keikhosrokiani, Pantea. This book was released on 2022-02-18. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media available in PDF, EPUB and Kindle. Opinion mining and text analytics are used widely across numerous disciplines and fields in today’s society to provide insight into people’s thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
Perspectives on Data Science for Software Engineering
Perspectives on Data Science for Software Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Perspectives on Data Science for Software Engineering write by Tim Menzies. This book was released on 2016-07-14. Perspectives on Data Science for Software Engineering available in PDF, EPUB and Kindle. 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
