PASED - Canadian Summer School on Practical Analyses of Software Engineering Data

Location and Schedule

Pavillon MacKay-Lassonde of Ecole Polytechnique de Montreal, Wi-Fi accessible (username and password will be provided)

Lecture room: M-1020 (June 16-19) and M-1510 (June 20)

Lab: L-4714

Breakfast: Beside the lecture room

Lunch: The Atrium on the third floor


School Dinner at 19:00, June 18:
Room : Printemps (Spring)
Hotel Omni Mont-Royal
1050 rue Sherbrooke ouest Montréal, QC Canada H3A 2R6

Direction: Take the metro from Polytechnique (Universite de Montreal metro station). Take the Blue line to Snowdon Station. Take the Orange line to Lionel Groulx Station. Take the Green line to Peel metro station. Exit on Peel Street and walk uphill toward Boulevard de Maisonneuve O. Keep on Peel Street and turn right at Sherbrooke O Street.



Thursday June 16 Friday June 17 Saturday June 18 Sunday June 19 Monday June 20
Materials
Lecture
Keynote
Lab Package
Lecture
Keynote
Lab
Posters
Lecture
Keynote
Tools
Lab Package
Lecture

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Lecture
Lecture Data
Keynote
Lab
Lab Package
Weka Script
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8:00
Registration
8:30 - 9:00 Breakfast Breakfast Breakfast Breakfast Breakfast
9:00 - 9:15 Welcome and brief introduction of school and people Experiment design
M. Di Penta
University of Sannio
1 size: 274M
2 size: 178M
Information retrieval methods for software engineering
A. Marcus
WSU
1 size: 274M
2 size: 158M
Statistical procedures for software engineering data
G. Antoniol
EPM
1 size: 274M
2 size: 143M
Machine learning primer
Bram Adams
Queen's University
1 size: 274M
2 size: 159M
9:15 - 10:00 Mining Software Repository
A. Hassan
Queen's University
1 size: 274M
2 size: 99M
10:00 - 10:30 Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break
10:30 - 12:30 Mining Software Repository
A. Hassan
Queen's University
1 size: 274M
2 size: 274M
3 size: 249M
Experiment design
M. Di Penta
University of Sannio
1 size: 274M
2 size: 274M
3 size: 274M
4 size: 106M
Information retrieval methods for software engineering
A. Marcus
WSU
1 size: 274M
2 size: 274M
3 size: 274M
4 size: 90M
Statistical procedures for software engineering data
M. Di Penta
University of Sannio
1 size: 274M
2 size: 274M
3 size: 274M
4 size: 66M
Predictive models and machine learning for software engineering data
Bram Adams
Queen's University
1 size: 274M
2 size: 274M
3 size: 274M
3 size: 17M
12:30 - 14:00 Lunch Lunch Lunch Lunch Lunch
14:00 - 15:15 Keynote
Big data, Little brain, Big brain, Little data
Gail Murphy
UBC
1 size: 274M
2 size: 258M
Keynote
Decremental Work
Prem Devanbu
UC Davis
1 size: 236M
2 size: 4.5M
3 size: 47M
4 size: 158M
Keynote
Alain Picard
Benchmark Consulting Services Inc.
1 size: 274M
2 size: 274M
3 size: 5.4M
Keynote
SAP Quality Excellence Initiative: Lean and Agile in Action
Maria Codipietro
Peter Colligan
Kal Murtaja
SAP Labs
Keynote
Marc-André Decoste
Google Montréal
1 size: 274M
2 size: 194M
15:15 - 15:30 Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break
15:30 - 17:30 Hands on mining software repository
D. German
M Di Penta
A. Hassan
Hands on experiment design
M Di Penta
F. Khomh
Hands on information retrieval methods for software engineering
A. Marcus
S Haiduc
N. Ali
Hands on basic statistic processing
M. Di Penta
G. Antoniol
S. Kpodjedo
Hands on predictive models and machine learning for software engineering data
S. Kpodjedo
F. Khomh





Wrap up and future plan
18:00 - 19:30 Welcome reception at the Atrium Student poster and dinner at the Atrium
Visit to old Montreal
Dinner at your own

19:00 - 20:30

School dinner

   
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