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ORCIDThe Art and Science of Analyzing Software Data 2015
- Christian Bird, Tim Menzies, Thomas Zimmermann:
The Art and Science of Analyzing Software Data. Morgan Kaufmann / Elsevier 2015, ISBN 978-0-12-411519-4 - Christian Bird, Tim Menzies, Thomas Zimmermann:
Past, Present, and Future of Analyzing Software Data. 1-13 - Christian Lindig:
Mining Patterns and Violations Using Concept Analysis. 17-38 - Stefan Wagner
, Daniel Méndez Fernández:
Analyzing Text in Software Projects. 39-72 - Olga Baysal, Oleksii Kononenko, Reid Holmes, Michael W. Godfrey:
Synthesizing Knowledge from Software Development Artifacts. 73-84 - Will Snipes, Emerson R. Murphy-Hill, Thomas Fritz, Mohsen Vakilian, Kostadin Damevski, Anil R. Nair, David C. Shepherd:
A Practical Guide to Analyzing IDE Usage Data. 85-138 - Joshua Charles Campbell, Abram Hindle, Eleni Stroulia:
Latent Dirichlet Allocation. 139-159 - Diomidis Spinellis:
Tools and Techniques for Analyzing Product and Process Data. 161-212 - Andrew Meneely:
Analyzing Security Data. 215-229 - Peter C. Rigby, Alberto Bacchelli, Georgios Gousios, Murtuza Mukadam:
A Mixed Methods Approach to Mining Code Review Data. 231-255 - Konstantin Kuznetsov, Alessandra Gorla, Ilaria Tavecchia, Florian Gross, Andreas Zeller:
Mining Android Apps for Anomalies. 257-283 - Gustavo Ansaldi Oliva, Marco Aurélio Gerosa:
Change Coupling Between Software Artifacts. 285-323 - Madeline Diep, Linda Esker, Davide Falessi, Lucas Layman, Michele A. Shaw, Forrest Shull:
Applying Software Data Analysis in Industry Contexts. 327-348 - Brendan Murphy, Jacek Czerwonka, Laurie A. Williams:
Using Data to Make Decisions in Software Engineering. 349-375 - Xavier Franch, Ron S. Kenett, Angelo Susi, Nikolas Galanis, Ruediger Glott, Fabio Mancinelli:
Community Data for OSS Adoption Risk Management. 377-409 - Randy L. Hackbarth, Audris Mockus, John Douglas Palframan, David M. Weiss:
Assessing the State of Software in a Large Enterprise. 411-451 - Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli:
Lessons Learned from Software Analytics in Practice. 453-489 - Lin Tan:
Code Comment Analysis for Improving Software Quality. 493-517 - Hamzeh Zawawy, Serge Mankovskii, Kostas Kontogiannis, John Mylopoulos:
Mining Software Logs for Goal-Driven Root Cause Analysis. 519-554 - Maleknaz Nayebi, Guenther Ruhe:
Analytical Product Release Planning. 555-589 - Robert Dyer, Hoan Nguyen, Hridesh Rajan, Tien N. Nguyen:
Boa. 593-621 - Shaowei Wang, David Lo, Lingxiao Jiang, Shahar Maoz, Aditya Budi:
Scalable Parallelization of Specification Mining Using Distributed Computing. 623-648
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