Schedule for CS 846: Empirical Software Engineering using Ultra Large Repositories (Winter 2017)

Week 1 (Jan 09): Introduction and Course Overview Admin details Intro Lecture based on app store mining by Ruiz et.al. A primer in R and building models. Slides, R Scripts Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results Jelte M. Wicherts, Marjan Bakker, Dylan Molenaar Reading 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 Reading Week 2 (Jan 16): Infrastructure Intro to Azure - Guest Lecture by Sage Franch. Slides Using Pig as a data preparation language for large-scale mining software repositories studies: An experience report Weiyi Shang, Bram Adams, and Ahmed E. Hassan Analysis Techniques: Pig Queries Reading MapReduce as a General Framework to Support Research in Mining Software Repositories (MSR) Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan Analysis Techniques: MapReduce Reading Week 3 (Jan 23): Collecting Large Datasets (The process used to collect the dataset) Amassing and indexing a large sample of version control systems: Towards the census of public source code history Audris Mockus Analysis Techniques: Indexing techniques Aaron Sarson GHTorrent: Github's data from a firehose Georgios Gousios and Diomidis Spinellis Junyu Lai The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining Lucas Nussbaum, and Stefano Zacchiroli Yuefei Liu The Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies Ewan Tempero, Craig Anslow, Jens Dietrich, Ted Han, Jing Li, Markus Lumpe, Hayden Melton, and James Noble Reading/Ying Yu Week 4 (Jan 30): Source code similarity A study of the uniqueness of source code Mark Gabel and Zhendong Su Analysis Techniques: Lexical representation of code, syntactic redundancy, sequence matching Yuan Xi SourcererCC: Scaling Code Clone Detection to Big Code Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko, Chanchal K Roy, Cristina V Lopes Analysis Techniques: Clone detection Ten Bradley A Study of Repetitiveness of Code Changes in Software Evolution Hoan Anh Nguyen, Anh Tuan Nguyen, Tung Thanh Nguyen, Tien N. Nguyen, and Hridesh Rajan Analysis Techniques: AST matching Andrew Palmer Week 5 (Feb 6): API Mining Proposal Presentation (5 min presentation) API Code Recommendation Using Statistical Learning from Fine-grained Changes Anh Tuan Nguyen, Michael Hilton, Mihai Codoban, Hoan Nguyen, Lily Mast, Eli Rademacher, Tien N. Nguyen, Danny Dig Analysis Techniques: Deepak Rishi Large-scale, AST-based API-usage analysis of open-source Java projects Ralf Lammel, Ekaterina Pek, and Jurgen Starek Analysis Techniques: AST mining Sweta Barman Software Bertillonage: Finding the Provenance of an Entity Julius Davies, Daniel M. German, Michael W. Godfrey, and Abram Hindle Analysis Techniques: Reading/Diya Burman Week 6 (Feb 13): Testing Coverage Is Not Strongly Correlated With Test Suite Effectiveness Laura Inozemtseva and Reid Holmes Analysis Techniques: Correlation Junyi Shen Techniques for improving regression testing in continuous integration development environments Sebastian Elbaum, Gregg Rothermel, and John Penix Analysis Techniques: Nikita Volodin Automatic Identification of Load Testing Problems Zhen Ming Jiang, Ahmed E. Hassan, Parminder Flora, and Gilbert Hamann Analysis Techniques: Log Decomposition, Dominant Behavior Identfication, Anomaly Detection, z-stats Atinderdeep Saini Week 7 (Feb 20): No Class Study Break Week 8 (Feb 27): Bugs Debugging in the (very) large: ten years of implementation and experience Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg, Gabriel Aul, Vince Orgovan, Greg Nichols, David Grant, Gretchen Loihle, and Galen Hunt Analysis Techniques: Bucketing Algorithms Shahin Rahbariasl An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox Foutse Khomh, Brian Chan, Ying Zou, and Ahmed E. Hassan Analysis Techniques: Entropy Analysis Akshay Chopra Statistical Debugging: A Hypothesis Testing-Based Approach Chao Liu, Long Fei, Xifeng Yan, Jiawei Han, and Samuel P. Midkiff Analysis Techniques: Predicate Ranking Models, Statistical Debugging Angshuman Ghosh Scalable statistical bug isolation Ben Liblit, Mayur Naik, Alice X. Zheng, Alex Aiken, and Michael I. Jordan Reading/Yongi An Week 9 (Mar 6): Project Progress Presentations Progress report due (2 pages IEEE format) Week 10 (Mar 13): Mobile Feature Lifecycles as They Spread, Migrate, Remain and Die in App Stores Federica Sarro, Afnan Al-Subaihin, Mark Harman, Yue Jia, William Martin, and Yuanyuan Zhang Analysis Techniques: Naga Malleswara Rao API Change and Fault Proneness: A Threat to the Success of Android Apps Mario Linares-Vasquez, Gabriele Bavota, Carlos Bernal-Cardenas, Massimiliano Di Penta, Rocco Oliveto, and Denys Poshyvanyk Analysis Techniques: Chang Ge IccTA: Detecting Inter-Component Privacy Leaks in Android Apps Li Li, Alexandre Bartel, Tegawende F. Bissyande, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau, and Patrick McDaniel Analysis Techniques: Jumyung Chang Week 11 (Mar 20): Programming Languages On the naturalness of software Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu Analysis Techniques: Statistical language models Rizwan Aarif A Large Scale Study of Programming Languages and Code Quality in Github Baishakhi Ray, Daryl Posnett, Vladimir Filkov, Premkumar Devanbu Analysis Techniques: Ripul Jain An Empirical Study of Goto in C Code from GitHub Repositories Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Eric Tanter, Shane McIntosh, Audris Mockus, and Ahmed E. Hassan Analysis Techniques: Reading Week 12 (Mar 27): CI Quality and Productivity Outcomes Relating to Continuous Integration in GitHub Bogdan Vasilescu, Yue Yu, Huaimin Wang, Premkumar Devanbu, and Vladimir Filkov Analysis Techniques: Statistical language models Aimal Khan Usage, Costs, and Benefits of Continuous Integration in Open-Source Projects Michael Hilton, Timothy Tunnell, Kai Huang, Darko Marinov, and Danny Dig Analysis Techniques: Weicong Ma A Large Scale Empirical Study of the Relationship Between Build Technology and Build Maintenance Shane Mcintosh, Meiyappan Nagappan, Bram Adams, Audris Mockus, and Ahmed E. Hassan Analysis Techniques: Reading/Xinyi Zhang Week 13 (Apr 3): Project Presentations Project Report DUE -- Apr 24 (10 page IEEE report)