Schedule for CISC 880: Mining Software Engineering Data (Fall 2014)

Week 1 (Sep 11): Introduction and Course Overview Admin details (To Register -- use http://goo.gl/zeogAC) Intro Lecture based on ICSE 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 18): MSR Tutorial Mining Software Repositories MSR Tutorial Continued. Assigned Reading: Future of Mining Software Archives: A Roundtable Week 3 (Sept 25): 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 Defects for Eclipse Thomas Zimmermann, Rahul Premraj, and Andreas Zeller Analysis Techniques: Using R, Classification, Ranking [READING] [ASSIGNMENT] Predicting Bugs from History Thomas Zimmermann, Nachiappan Nagappan, and Andreas Zeller (Evolution Book) [READING] Evaluating Defect Prediction Approaches: A Benchmark and an Extensive Comparison Marco D'Ambros, Michele Lanza, Romain Robbes [READING] ASSIGNMENT Week 4 (Oct 2*): Mining Social Structures Will My Patch Make it? and How Fast?: Case Study on the Linux Kernel. Yujuan Jiang, Bram Adams, Daniel M. Germán Analysis Techniques: Decision Tree Latent Social Structure in Open Source Projects Christian Bird, David Pattison, Raissa D'Souza, Vladimir Filkov and Premkumar Devanbu 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 5 (Oct 9): Large Scale Analysis I Capturing, indexing, clustering, and retrieving system history Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, and Armando Fox vPerfGuard: an Automated Model-Driven Framework for Application Performance Diagnosis in Consolidated Cloud Environment Pengcheng Xiong, Calton Pu, Xiaoyun Zhu, and Rean Griffith Performance Debugging in the Large via Mining Millions of Stack Traces Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, and Tao Xie Amassing and indexing a large sample of version control systems: towards the census of public source code history Audris Mockus [READING] Week 6 (Oct 16): Mining of Non-Structured Data Assignment Status Update -- OCT 16 (10 min presentation) 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 Listening to programmers Taxonomies and characteristics of comments in operating system code Yoann Padioleau, Lin Tan, Yuanyuan Zhou [READING] Identifying reasons for software change using historic databases. Audris Mockus and Larry G. Votta [READING] Week 7 (Oct 23): Assignment Presentation Assignment DUE -- OCT 23 (30 mins presentation + 10 page IEEE report) Project Proposal DUE -- Oct 28 (2 pages IEEE format) Week 8 (Oct 30): Project Proposal Presentations Project Proposal Presentation (15 mins + 10 mins questions) Week 9 (Nov 6): Mining Mobile Apps A Measurement Study of Google Play Nicolas Viennot, Edward Garcia, Jason Nieh API Change and Fault Proneness: a Threat to the Success of Android Apps Mario Linares Vásquez, Gabriele Bavota, Carlos Bernal-Cárdenas, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk Software Analytics for Mobile Applications - Insights & Lessons Learned Roberto Minelli, Michele Lanza Visual Analytics in Software Maintenance: Challenges and Opportunities Alex Telea and and Ozan Ersoy and Lucian Voinea [READING] Week 10 (Nov 13): Large Scale Analysis II Improving Software Diagnosability via Log Enhancement Ding Yuan, Jing Zheng, Soyeon Park, Yuanyuan Zhou, and Stefan Savage The Promises and Perils of Mining Github Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M. German, Daniela Damian Towards Building a Universal Defect Prediction Model Feng Zhang, Audris Mockus, Iman Keivanloo, Ying Zou: Towards building a universal defect prediction model. [READING] 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 [READING] Scalable statistical bug isolation Ben Liblit, Mayur Naik, Alice X. Zheng, Alex Aiken, and Michael I. Jordan [READING] Week 11 (Nov 20): Project Presentations Project Presentation DUE -- Nov 20 (20 mins presentation) Project Report DUE -- DEC 22 (10 page IEEE report)