Week 1 (Sep 11): Introduction and Course Overview
|
|
Week 2 (Sep 18): MSR Tutorial
|
|
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
|
|
How, and Why, Process Metrics are better
Foyzur Rahman and Premkumar Devanbu
Analysis Techniques: Cost-Effectiveness, Effect size, Wilcoxon test, t-test, multiple test corrections (e.g., Benjamini-Hochberg (BH) correction)
|
|
Predicting Bugs from History
Thomas Zimmermann, Nachiappan Nagappan, and Andreas Zeller
(Evolution Book)
|
[READING]
|
|
Week 4 (Oct 2): Mining Social Structures and Code Reviews
|
Will My Patch Make it? and How Fast?: Case Study on the Linux Kernel.
Yujuan Jiang, Bram Adams, Daniel M. German
Analysis Techniques: Decision Tree
|
|
The Promises and Perils of Mining Github
Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M. German, Daniela Damian
|
|
On the Role of Developer's Scattered Changes in Bug Prediction
Dario Di Nucci, Fabio Palomba, Sandro Siravo, Gabriele Bavota, Rocco Oliveto, and Andrea De Lucia
|
|
An Empirical Study of the Impact of Modern Code Review Practices on Software Quality
Shane McIntosh, Yasutaka Kamei, Bram Adams, and Ahmed E. Hassan
Analysis Techniques: Bootstrap validation
|
ASSIGNMENT
|
Understanding the Rationale for Updating a Function's Comment
Haroon Malik, Hsiao-Ming Tsou, Istehad Chowdhury, and Ahmed E. Hassan
|
ASSIGNMENT
[READING]
|
Does Distributed Development
Affect Software Quality?
An Empirical Case Study
of Windows Vista
Christian Bird, Nachiappan Nagappan, Premkumar Devanbu, Harald Gall, and Brendan Murphy
|
[READING]
|
|
Week 5 (Oct 9): Thanksgiving (No Class)
|
Week 6 (Oct 16): Mining of Non-Structured Data
|
Assignment Status Update Presentation -- OCT 16 (10 mins presentation)
|
|
Week 7 (Oct 23): Assignment Presentation
|
Assignment Presentation DUE -- OCT 23 (20 mins presentation)
|
Assignment Report DUE -- OCT 25 (10 page IEEE report)
|
|
Project Proposal DUE -- Oct 26 (2 pages IEEE format)
|
Week 8 (Oct 30): Project Proposal Presentations
|
Project Proposal Presentation (10 mins + 10 mins questions)
|
|
Week 9 (Nov 6): Mobile Apps and Cloud
|
Auto-Completing Bug Reports for Android Applications
Kevin Moran, Mario Linares-Vasquez, Carlos Bernal-Cardenas, and Denys Poshyvanyk
|
|
Sapienz: multi-objective automated testing for Android applications.
Ke Mao, Mark Harman, and Yue Jia
|
|
Understanding Diverse Usage Patterns from
Large-Scale Appstore-Service Profiles
Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei,
Feng Feng, and Hong Mei
|
|
vPerfGuard: an Automated Model-Driven Framework for
Application Performance Diagnosis in Consolidated
Cloud Environment
Pengcheng Xiong, Calton Pu, Xiaoyun Zhu, and Rean Griffith
|
|
|
Week 10 (Nov 13): Large Scale Analysis
|
Improving Software Diagnosability via Log Enhancement
Ding Yuan, Jing Zheng, Soyeon Park, Yuanyuan Zhou, and Stefan Savage
|
|
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-intensive Systems
Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Renna Rodrigues, Xu Zhao,
Yongle Zhang, Pranay U. Jain, Michael Stumm
|
|
Capturing, indexing, clustering, and retrieving system history
Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, and Armando Fox
|
|
|
Week 11 (Nov 20): Project Presentations I
|
Project Presentation I DUE -- Nov 20 (20 mins presentation)
|
|
Week 12 (Nov 27): Project Presentations II
|
Project Presentation II DUE -- Nov 27 (20 mins presentation)
|
|
Project Report DUE -- DEC 22 (10 page IEEE report)
|
|