Schedule for CS 846: Empirical Software Engineering using Ultra Large Repositories (Fall 2018)

Week 1 (Sept 06): Introduction and Course Overview Admin details Intro, a primer in stats and building models, and a study on importance of data in SE. 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 (Sept 13): Infrastructure Intro to Azure. Reading Paper 1: 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 Cosmos Zhu Paper 2: 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 Lakshmanan Week 3 (Sept 20): Collecting Large Datasets (The process used to collect the dataset) Paper 3: Amassing and indexing a large sample of version control systems: Towards the census of public source code history Audris Mockus Analysis Techniques: Indexing techniques Amine Mehdhbi Paper 4: GHTorrent: Github's data from a firehose Georgios Gousios and Diomidis Spinellis Paper 5: The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining Lucas Nussbaum, and Stefano Zacchiroli Zheng Kun Chen 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 Week 4 (Sept 27): Project Proposal Prep No Class (Spend time on selecting paper and Proposal) Week 5 (Oct 4): Source code similarity 2 Page Proposal Paper Due Paper 6: A study of the uniqueness of source code Mark Gabel and Zhendong Su Analysis Techniques: Lexical representation of code, syntactic redundancy, sequence matching Aarti Malhotra Paper 7: SourcererCC: Scaling Code Clone Detection to Big Code Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko, Chanchal K Roy, Cristina V Lopes Analysis Techniques: Clone detection Paper 8: 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 Chu Feng Week 6 (Oct 11) No Class Thanksgiving break Week 7 (Oct 18): API Mining Paper 9: 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: Rafael Paper 10: Large-scale, AST-based API-usage analysis of open-source Java projects Ralf Lammel, Ekaterina Pek, and Jurgen Starek Analysis Techniques: AST mining Joshua Boluwatife Paper 11: Software Bertillonage: Finding the Provenance of an Entity Julius Davies, Daniel M. German, Michael W. Godfrey, and Abram Hindle Analysis Techniques: Week 8 (Oct 25): Testing Paper 12: Coverage Is Not Strongly Correlated With Test Suite Effectiveness Laura Inozemtseva and Reid Holmes Analysis Techniques: Correlation Amin Bandali Paper 13: Techniques for improving regression testing in continuous integration development environments Sebastian Elbaum, Gregg Rothermel, and John Penix Analysis Techniques: Paper 14: 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 Achyudh Ram Week 9 (Nov 1): Mobile Paper 15: 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: Reza Nadri Paper 16: 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: Margaret Foley Paper 17: 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: Hung Viet Pham Week 10 (Nov 8): Project Progress Prep No Class Week 11 (Nov 15): Programming Languages Progress report due (2 pages IEEE format) Paper 18: On the naturalness of software Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu Analysis Techniques: Statistical language models Edmund Wong Paper 19: A Large Scale Study of Programming Languages and Code Quality in Github Baishakhi Ray, Daryl Posnett, Vladimir Filkov, Premkumar Devanbu Analysis Techniques: Kilby Baron Paper 20: 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: Week 12 (Nov 22): CI Paper 21: 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 Yao Lei Paper 22: Usage, Costs, and Benefits of Continuous Integration in Open-Source Projects Michael Hilton, Timothy Tunnell, Kai Huang, Darko Marinov, and Danny Dig Analysis Techniques: Spandan Chowdhury Paper 23: 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: Week 13 (Nov 29): Project Presentations Project Report DUE -- Dec 7 (10 page IEEE report)