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Autor: Christian Bird
ISBN-13: 9780124115194
Einband: Taschenbuch
Seiten: 688
Gewicht: 1413 g
Format: 237x197x43 mm
Sprache: Englisch

The Art and Science of Analyzing Software Data

Morgan Kaufmann
Analysis Patterns
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Bird, Christianis a researcher in the empirical software engineering group at Microsoft Research. He is primarily interested in the relationship between software design, social dynamics, and processes in large development projects. He has studied software development teams at Microsoft, IBM, and in the Open Source realm, examining the effects of distributed development, ownership policies, and the ways in which teams complete software tasks. He has published in the top Software Engineering venues and is the recipient of the ACM SIGSOFT distinguished paper award.

Menzies, Tim
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.

Zimmermann, Thomas
is a researcher in the Research in Software Engineering (RiSE) group at Microsoft Research, adjunct assistant professor at the University of Calgary, and affiliate faculty at University of Washington. He is best known for his work on systematic mining of version archives and bug databases to conduct empirical studies and to build tools to support developers and managers. He received two ACM SIGSOFT Distinguished Paper Awards for his work published at the ICSE '07 and FSE '08 conferences.
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Past, Present, and Future of Analyzing Software Data
Part 1 TUTORIAL-TECHNIQUES

Mining Patterns and Violations Using Concept Analysis

Analyzing Text in Software Projects

Synthesizing Knowledge from Software Development Artifacts

A Practical Guide to Analyzing IDE Usage Data

Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data

Tools and Techniques for Analyzing Product and Process Data
PART 2 DATA/PROBLEM FOCUSSED

Analyzing Security Data

A Mixed Methods Approach to Mining Code Review Data: Examples and a Study of Multicommit Reviews and Pull Requests

Mining Android Apps for Anomalies

Change Coupling Between Software Artifacts: Learning from Past Changes
PART 3 STORIES FROM THE TRENCHES

Applying Software Data Analysis in Industry Contexts: When Research Meets Reality

Using Data to Make Decisions in Software Engineering:

Providing a Method to our Madness

Community Data for OSS Adoption Risk Management

Assessing the State of Software in a Large Enterprise: A 12-Year Retrospective

Lessons Learned from Software Analytics in Practice
PART 4 ADVANCED TOPICS

Code Comment Analysis for Improving Software Quality

Mining Software Logs for Goal-Driven Root Cause Analysis

Analytical Product Release Planning
PART 5 DATA ANALYSIS AT SCALE (BIG DATA)

Boa: An Enabling Language and Infrastructure for Ultra-Large-Scale MSR Studies

Scalable Parallelization of Specification Mining Using Distributed Computing
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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
Autor: Christian Bird, Tim Menzies, Thomas Zimmermann
Bird, Christianis a researcher in the empirical software engineering group at Microsoft Research. He is primarily interested in the relationship between software design, social dynamics, and processes in large development projects. He has studied software development teams at Microsoft, IBM, and in the Open Source realm, examining the effects of distributed development, ownership policies, and the ways in which teams complete software tasks. He has published in the top Software Engineering venues and is the recipient of the ACM SIGSOFT distinguished paper award.

Menzies, Tim
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.

Zimmermann, Thomas
is a researcher in the Research in Software Engineering (RiSE) group at Microsoft Research, adjunct assistant professor at the University of Calgary, and affiliate faculty at University of Washington. He is best known for his work on systematic mining of version archives and bug databases to conduct empirical studies and to build tools to support developers and managers. He received two ACM SIGSOFT Distinguished Paper Awards for his work published at the ICSE '07 and FSE '08 conferences.

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Autor: Christian Bird
ISBN-13 :: 9780124115194
ISBN: 0124115195
Erscheinungsjahr: 29.07.2015
Verlag: Elsevier LTD, Oxford
Gewicht: 1413g
Seiten: 688
Sprache: Englisch
Sonstiges: Taschenbuch, 237x197x43 mm