Art and Science of Analyzing Software Data (eBook)

Christian Bird, Tim Menzies, Thomas Zimmermann (Herausgeber)

eBook Download: PDF | EPUB

2015 | 1. Auflage
672 Seiten
Elsevier Science (Verlag)
978-0-12-411543-9 (ISBN)

Infos

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

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List of Contributors

Alberto Bacchelli     Department of Software and Computer Technology, Delft University of Technology, Delft, The Netherlands

Olga Baysal     School of Computer Science, Carleton University, Ottawa, ON, Canada

Ayse Bener     Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, Canada

Christian Bird     Microsoft Research, Redmond, WA, USA

Aditya Budi     School of Information Systems, BINUS University, Jakarta, Indonesia

Bora Caglayan     Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, Canada

Gul Calikli     Department of Computing, Open University, Milton Keynes, UK

Joshua Charles Campbell     Department of Computing Science, University of Alberta, Edmonton, AB, Canada

Jacek Czerwonka     Microsoft Corporation, Redmond, WA, USA

Kostadin Damevski     Mathematics and Computer Science Department, Virginia State University, Peterburg, VA, USA

Madeline Diep     Fraunhofer Center for Experimental Software Engineering, College Park, MD, USA

Robert Dyer     Department of Computer Science, Bowling Green State University, Bowling Green, OH, USA

Linda Esker     Fraunhofer Center for Experimental Software Engineering, College Park, MD, USA

Davide Falessi     Fraunhofer Center for Experimental Software Engineering, College Park, MD, USA

Xavier Franch     Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

Thomas Fritz     Department of Informatics, University of Zurich, Zurich, Switzerland

Nikolas Galanis     Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

Marco Aurélio Gerosa     Software Engineering $SPI0026SPI$ Collaborative Systems Research Group (LAPESSC), University of São Paulo (USP), São Paulo, Brazil

Ruediger Glott     University of Maastricht, Maastricht, The Netherlands

Michael W. Godfrey     David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada

Alessandra Gorla     IMDEA Software Institute, Pozuelo de Alarcon, Madrid, Spain

Georgios Gousios     Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands

Florian Groß     Software Engineering Chair, Saarland University, Saarbrücken, Germany

Randy Hackbarth     Software Technology Research, Avaya Labs, Santa Clara, CA, USA

Abram Hindle     Department of Computing Science, University of Alberta, Edmonton, AB, Canada

Reid Holmes     Department of Computer Science, University of British Columbia, Vancouver, BC, Canada

Lingxiao Jiang     School of Information Systems, Singapore Management University, Singapore

Ron S. Kenett

KPA Ltd., Raanana, Israel

Department of Mathematics, “G. Peano”, University of Turin, Turin, Italy

Ekrem Kocaguneli     Microsoft, Seattle, WA, USA

Oleksii Kononenko     David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada

Kostas Kontogiannis     Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

Konstantin Kuznetsov     Software Engineering Chair, Saarland University, Saarbrücken, Germany

Lucas Layman     Fraunhofer Center for Experimental Software Engineering, College Park, MD, USA

Christian Lindig     Testfabrik AG, Saarbrcken, Germany

David Lo     School of Information Systems, Singapore Management University, Singapore

Fabio Mancinelli     XWiki SAS, Paris, France

Serge Mankovskii     CA Labs, San Francisco, CA, USA

Shahar Maoz     School of Computer Science, Tel Aviv University, Tel Aviv, Israel

Daniel Méndez Fernández     Software & Systems Engineering, Institut für Informatik, Technische Universität München, Garching, Germany

Andrew Meneely     Department of Software Engineering, Rochester Institute of Technology, Rochester, NY, USA

Tim Menzies     Computer Science, North Carolina State University, Raleigh, NC, USA

Audris Mockus

Software Technology Research, Avaya Labs, Santa Clara, CA, USA

The Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA

Murtuza Mukadam     Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada

Brendan Murphy     Microsoft Research Cambridge, Cambridge, UK

Emerson Murphy-Hill     Computer Science, North Carolina State University, Raleigh, NC, USA

John Mylopoulos     Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

Anil R. Nair     ABB Corporate Research, Bangalore, KN, India

Maleknaz Nayebi     Software Engineering Decision Support Laboratory, University of Calgary, Calgary, AB, Canada

Hoan Nguyen     Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA

Tien Nguyen     Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA

Gustavo Ansaldi Oliva     Software Engineering & Collaborative Systems Research Group (LAPESSC), University of São Paulo (USP), São Paulo, Brazil

John Palframan     Software Technology Research, Avaya Labs, Santa Clara, CA, USA

Hridesh Rajan     Department of Computer Science, Iowa State University, Ames, IA, USA

Peter C. Rigby     Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada

Guenther Ruhe     Software Engineering Decision Support Laboratory, University of Calgary, Calgary, AB, Canada

Michele Shaw     Fraunhofer Center for Experimental Software Engineering, College Park, MD, USA

David Shepherd     ABB Corporate Research, Raleigh, NC, USA

Forrest Shull     Software Solutions Division, Software Engineering Institute, Arlington, VA, USA

Will Snipes     ABB Corporate Research, Raleigh, NC, USA

Diomidis Spinellis     Department Management Science and Technology, Athens University of Economics and Business, Athens, Greece

Eleni...

Produkt-Details

• Erscheint lt. Verlag: 2.9.2015
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Informatik ► Software Entwicklung
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• ISBN-10: 0-12-411543-8 / 0124115438
• ISBN-13: 978-0-12-411543-9 / 9780124115439