Week 1 (Sep 16): Introduction and Course Overview
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Week 2 (Sep 23): MSR Tutorial
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Week 3 (Sept 30): Predicting Bugs
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Predicting fault incidence using software change history
Todd L. Graves, Alan F. Karr, J. S. Marron, and Harvey P. Siy
Analysis Techniques: Basic linear regression, GLM, R2, model error, exponential decay
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Predictors of customer perceived software quality
Audris Mockus, Ping Zhang, and Paul Luo Li
Analysis Techniques: Classification, Logistic Regression (Building and Interpreting Co-efficients), R2, model error
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Don't Touch My Code! Examining the Effects of Ownership on Software Quality
Christian Bird, Nachiappan Nagappan, Brendan Murphy, Harald Gall, and Premkumar Devanbu
Analysis Techniques: Variance Explained
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[ASSIGNMENT]
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Predicting Defects for Eclipse
Thomas Zimmermann, Rahul Premraj, and Andreas Zeller
Analysis Techniques: Using R, Classification, Ranking
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[READING]
[ASSIGNMENT]
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Predicting Bugs from History
Thomas Zimmermann, Nachiappan Nagappan, and Andreas Zeller
(Evolution Book)
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[READING]
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Evaluating Defect Prediction Approaches: A Benchmark and an Extensive Comparison
Marco D'Ambros, Michele Lanza, Romain Robbes
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[READING]
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Week 4 (Oct 7): Mining Social Structures
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Week 5 (Oct 14): Mining of Non-Structured Data
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Assignment Status Update -- OCT 14 (10 min presentation)
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Week 6 (Oct 21): Tools and Mining Challenges (No Class)
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Preprocessing CVS Data for Fine-Grained Analysis
Thomas Zimmermann and Peter Weißgerber
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[READING]
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The Promises and Perils of Mining Git
Christian Bird, Peter C. Rigby, Earl T. Barr, David J. Hamilton, Daniel M. Germany, and Prem Devanbu
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[READING]
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Automatic identification of bug-introducing changes
Sunghun Kim, Thomas Zimmermann, Kai Pan, E., and James Whitehead, Jr.
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[READING]
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Week 7 (Oct 28): Guiding Software Development
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Assignment DUE -- OCT 28 (20 mins presentation + 10 page IEEE report)
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Project Proposal DUE -- Oct 31 (2 pages IEEE format)
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Week 8 (Nov 4): Project Proposal Presentations
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Week 9 (Nov 11): Large Scale Analysis I
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Capturing, indexing, clustering, and retrieving system history
Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, and Armando Fox
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Scalable statistical bug isolation
Ben Liblit, Mayur Naik, Alice X. Zheng, Alex Aiken, and Michael I. Jordan
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Amassing and indexing a large sample of version control systems: towards the
census of public source code history
Audris Mockus
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Week 10 (Nov 18): Large Scale Analysis II
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Local vs. Global Models for Effort Estimation and Defect Prediction
Tim Menzies, Andrew Butcher, Andrian Marcus, Thomas Zimmermann, and David Cok
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Bugs as deviant behavior: A general approach to inferring errors in systems code
Dawson Engler, David Yu Chen, Seth Hallem, Andy Chou, and Benjamin Chelf
Analysis Techniques: Markov Models
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Improving Bug Triage with Bug Tossing Graphs
Gaeul Jeong, Sunghun Kim, and Thomas Zimmermann
Analysis Techniques: Markov Models
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Week 11 (Nov 25): Project Presentations
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Project Presentation DUE -- Nov 25 (20 mins presentation)
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Project Report DUE -- DEC 22 (10 page IEEE report)
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