Week 1: Course Overview
|
|
|
Week 2: Course overview continued
|
|
|
Week 3: Empirical studies on data from large-scale software systems
|
Understanding and detecting real-world performance bugs
Guoliang Jin, Linhai Song, Xiaoming Shi, Joel Scherpelz, Shan Lu |
|
Studying the Relationship between Logging Characteristics and the Code Quality of Platform Software
Weiyi Shang, Meiyappan Nagappan and Ahmed E. Hassan |
|
The Impact of Code Review Coverage and Code Review Participation on Software Quality: A Case Study of the Qt, VTK, and ITK Projects
Shane McIntosh, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan |
|
|
Week 4
|
Project proposal DUE Sunday night 11:59 pm (3 pages IEEE report)
|
Week 5: Log analysis
|
Leveraging Performance Counters and Execution Logs to Diagnose Memory-Related Performance Issues
Mark D. Syer, Zhen Ming Jiang, Meiyappan Nagappan, Ahmed E. Hassan, Mohamed Nasser and Parminder Flora |
|
Automatic Identification of Load Testing Problems
Zhen Ming Jiang, Ahmed E. Hassan, Parminder Flora, and Gilbert Hamann |
|
Visual, Log-based Causal Tracing for Performance Debugging of MapReduce Systems
Jiaqi Tan, Soila Kavulya, Rajeev Gandhi Priya Narasimha |
|
|
Week 6: Performance Engineering
|
vPerfGuard: an Automated Model-Driven Framework for Application Performance Diagnosis in Consolidated Cloud Environment
Pengcheng Xiong, Calton Pu, Xiaoyun Zhu, Rean Griffith |
|
Mining Performance Regression Testing Repositories for Automated Performance Analysis
King Chun Foo, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Ying Zou and Parminder Flora |
|
Capturing, indexing, clustering, and retrieving system history
Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, and Armando Fox
|
|
|
Week 7: Tutorial
|
|
|
Week 8: Assignment Presentation
|
Assignment DUE Monday 10AM (3 pages IEEE report)
|
Week 9: Project Update
|
Project Update Presentation (10 mins presentation)
|
Week 10: Logging code analysis
|
Detecting Large-Scale System Problems by Mining Console Logs
Wei Xu, Ling Huang, Armando Fox, David Patterson, Michael Jordan |
|
Improving Software Diagnosability via Log Enhancement
Ding Yuan, Jing Zheng, Soyeon Park, Yuanyuan Zhou, and Stefan Savage |
|
Leveraging Existing Instrumentation to Automatically Infer Invariant-Constrained Models
Ivan Beschastnikh, Yuriy Brun, Sigurd Schneider, Michael Sloan, Michael D. Ernst
|
|
|
Week 12: Code analysis for performance improvement
|
Toddler: Detecting Performance Problems via Similar Memory-Access Patterns
Adrian Nistor, Linhai Song, Darko Marinov, and Shan Lu |
|
Subsuming Methods: Finding New Optimisation Opportunities in Object-Oriented Software
David Maplesden, Ewan Tempero, John Hosking, John C. Grundy |
|
CacheOptimizer: Helping Developers Configure Caching Frameworks for Hibernate-based Database-centric Web Applications
Tse-Hsun Chen, Weiyi Shang, and Ahmed E. Hassan, Mohamed Nasser, and Parminder Flora
|
|
|
Week 13: Configuration and the end
|
|
Week 14: Project Presentations
|
Project Presentation DUE (20 mins presentation)
|
|
|
Project Report DUE (10 page IEEE report)
|