Schedule for CISC 880: Mining Software Engineering Data (Fall 2010)

Week 1 (Sep 14): Introduction and Course Overview Admin details Intro Lecture based on ICSE 2010 Tutorial by Ahmed E. Hassan and Tao Xie. Assigned Reading:The Road Ahead for Mining Software Repositories by Ahmed E. Hassan slides Week 2 (Sep 21): MSR Tutorial Mining Software Repositories MSR Tutorial Continued. Assigned Reading: Future of Mining Software Archives: A Roundtable Week 3 (Sept 28): Predicting Bugs 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 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 Predicting Bugs from History Thomas Zimmermann, Nachiappan Nagappan, and Andreas Zeller (Evolution Book) [READING] Predicting Defects for Eclipse Thomas Zimmermann, Rahul Premraj, and Andreas Zeller Analysis Techniques: Using R, Classification, Ranking [READING] [ASSIGNMENT] Week 4 (Oct 5): Bugs and Effort Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study Nachiappan Nagappan, Thomas Ball Analysis Techniques: PCA, classification, ranking, data splitting Effort-Aware Defect Prediction Models Thilo Mende and Rainer Koschke Analysis Techniques: Random Forest, AUC Defect Prediction from Static Code Features: Current Results, Limitations, New Approaches Tim Menzies, Zach Milton, Burak Turhan, Bojan Cukic Yue Jiang, and Ayse Bener Analysis Techniques: Naive Bayes, CART, SVM Benchmarking classification models for software defect prediction: a proposed framework and novel findings. Stefan Lessmann, Bart Baesens, Christophe Mues, and Swantje Pietsch [READING] [ASSIGNMENT] Week 5 (Oct 12): Mining of Non-Structured Data Listening to programmers Taxonomies and characteristics of comments in operating system code Yoann Padioleau, Lin Tan, Yuanyuan Zhou Creating and Evolving Developer Documentation: Understanding the Decisions of Open Source Contributors Barthelemy Dagenais and Martin P. Robillard Analysis Techniques: Grounded Theory Semantic clustering: Identifying topics in source code Adrian Kuhn, Stephane Ducasse, and Tudor Girba Analysis Techniques: LDA, LSI Identifying reasons for software change using historic databases. Audris Mockus and Larry G. Votta [READING] Week 6 (Oct 19): Large Scale Mining Assignment Status Update -- OCT 19 (5 min presentation) Instant Code Clone Search Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, and Sunghun Kim MAPO: Mining and Recommending API Usage Patterns Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, and Hong Mei Scalable statistical bug isolation Ben Liblit, Mayur Naik, Alice X. Zheng, Alex Aiken, and Michael I. Jordan Amassing and indexing a large sample of version control systems: towards the census of public source code history Audris Mockus [READING] Week 7 (Oct 26): Guiding Software Development Assignment DUE -- OCT 26 (15 mins presentation + 10 page IEEE report) Mining version histories to guide software changes Thomas Zimmermann, Peter Weißgerber, Stephan Diehl, Andreas Zeller Visual Analytics in Software Maintenance: Challenges and Opportunities Alex Telea and and Ozan Ersoy and Lucian Voinea Preprocessing CVS Data for Fine-Grained Analysis Thomas Zimmermann and Peter Weißgerber [READING] The Promises and Perils of Mining Git Christian Bird, Peter C. Rigby, Earl T. Barr, David J. Hamilton, Daniel M. Germany, and Prem Devanbu [READING] Project Proposal DUE -- Oct 29 (2 pages IEEE format) Week 8 (Nov 2): Tools and Mining Challenges (No Class) Automatic identification of bug-introducing changes Sunghun Kim, Thomas Zimmermann, Kai Pan, E., and James Whitehead, Jr. Week 9 (Nov 9): Bug Detection and Dashboards Capturing, indexing, clustering, and retrieving system history Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, and Armando Fox 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 Awareness 2.0: Staying Aware of Projects, Developers and Tasks using Dashboards and Feeds Christoph Treude and Margaret-Anne Storey Week 10 (Nov 16): Mining Social Structures Latent Social Structure in Open Source Projects Christian Bird, David Pattison, Raissa D'Souza, Vladimir Filkov and Premkumar Devanbu Improving Bug Triage with Bug Tossing Graphs Gaeul Jeong, Sunghun Kim, and Thomas Zimmermann Does Distributed Development Affect Software Quality? An Empirical Case Study of Windows Vista Christian Bird, Nachiappan Nagappan, Premkumar Devanbu, Harald Gall, and Brendan Murphy Week 11 (Nov 23): Not done yet Project Presentation First Round DUE -- Nov 23 (20 mins presentation) Week 12 (Nov 30): Project Presentations Project Presentation DUE -- Nov 30 (20 mins presentation) Project Report DUE -- DEC 22 (10 page IEEE report)