MSR4P&S 2022
Mon 14 - Fri 18 November 2022
Singapore
co-located with
ESEC/FSE 2022
Toggle navigation
Attending
Venue: NUS U-Town
Program
MSR4P&S Program
Your Program
Mon 14 Nov
Tue 15 Nov
Wed 16 Nov
Thu 17 Nov
Fri 18 Nov
Track/Call
Organization
MSR4P&S 2022 Committees
Track Committees
Chairs
Program Committee
Contributors
People Index
Search
Series
Sign in
Sign up
ESEC/FSE 2022
(
series
) /
MSR4P&S 2022 (
series
) /
NUS U-Town
/
Room information: Town Plaza GLR
Venue
NUS U-Town
Room name
Town Plaza GLR
Floor
0
Room Information
No extra information available
Program
Detailed Table
Session Timeline
Detailed Timeline
Program Display Configuration
Time Zone
The program is currently displayed in
(GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi
.
Use conference time zone: (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi
Select other time zone
(GMT-12:00) AoE (Anywhere On Earth)
(GMT-11:00) Midway Island, Samoa
(GMT-10:00) Hawaii-Aleutian
(GMT-10:00) Hawaii
(GMT-09:30) Marquesas Islands
(GMT-09:00) Gambier Islands
(GMT-09:00) Alaska
(GMT-08:00) Tijuana, Baja California
(GMT-08:00) Pitcairn Islands
(GMT-08:00) Pacific Time (US & Canada)
(GMT-07:00) Mountain Time (US & Canada)
(GMT-06:00) Chihuahua, La Paz, Mazatlan
(GMT-07:00) Arizona
(GMT-06:00) Saskatchewan, Central America
(GMT-05:00) Guadalajara, Mexico City, Monterrey
(GMT-05:00) Easter Island
(GMT-06:00) Central Time (US & Canada)
(GMT-05:00) Eastern Time (US & Canada)
(GMT-05:00) Cuba
(GMT-05:00) Bogota, Lima, Quito, Rio Branco
(GMT-04:00) Caracas
(GMT-03:00) Santiago
(GMT-04:00) La Paz
(GMT-03:00) Faukland Islands
(GMT-04:00) Manaus, Amazonas, Brazil
(GMT-04:00) Atlantic Time (Goose Bay)
(GMT-04:00) Atlantic Time (Canada)
(GMT-03:30) Newfoundland
(GMT-03:00) UTC-3
(GMT-03:00) Montevideo
(GMT-03:00) Miquelon, St. Pierre
(GMT-03:00) Greenland
(GMT-03:00) Buenos Aires
(GMT-03:00) Brasilia, Distrito Federal, Brazil
(GMT-02:00) Mid-Atlantic
(GMT-01:00) Cape Verde Is.
(GMT-01:00) Azores
(UTC) Coordinated Universal Time
(GMT) Belfast
(GMT) Dublin
(GMT) Lisbon
(GMT) London
(GMT) Monrovia, Reykjavik
(GMT+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
(GMT+01:00) Belgrade, Bratislava, Budapest, Ljubljana, Prague
(GMT+01:00) Brussels, Copenhagen, Madrid, Paris
(GMT+01:00) West Central Africa
(GMT+02:00) Windhoek
(GMT+02:00) Athens
(GMT+02:00) Beirut
(GMT+02:00) Cairo
(GMT+02:00) Gaza
(GMT+02:00) Harare, Pretoria
(GMT+02:00) Jerusalem
(GMT+03:00) Minsk
(GMT+03:00) Syria
(GMT+03:00) Moscow, St. Petersburg, Volgograd
(GMT+03:00) Nairobi
(GMT+03:30) Tehran
(GMT+04:00) Abu Dhabi, Muscat
(GMT+04:00) Yerevan
(GMT+04:30) Kabul
(GMT+05:00) Ekaterinburg
(GMT+05:00) Tashkent
(GMT+05:30) Chennai, Kolkata, Mumbai, New Delhi
(GMT+05:45) Kathmandu
(GMT+06:00) Astana, Dhaka
(GMT+07:00) Novosibirsk
(GMT+06:30) Yangon (Rangoon)
(GMT+07:00) Bangkok, Hanoi, Jakarta
(GMT+07:00) Krasnoyarsk
(GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi
(GMT+08:00) Irkutsk, Ulaan Bataar
(GMT+08:00) Perth
(GMT+08:45) Eucla
(GMT+09:00) Osaka, Sapporo, Tokyo
(GMT+09:00) Seoul
(GMT+09:00) Yakutsk
(GMT+10:30) Adelaide
(GMT+09:30) Darwin
(GMT+10:00) Brisbane
(GMT+11:00) Hobart
(GMT+10:00) Vladivostok
(GMT+11:00) Lord Howe Island
(GMT+11:00) Solomon Is., New Caledonia
(GMT+11:00) Magadan
(GMT+12:00) Norfolk Island
(GMT+12:00) Anadyr, Kamchatka
(GMT+13:00) Auckland, Wellington
(GMT+12:00) Fiji, Kamchatka, Marshall Is.
(GMT+13:45) Chatham Islands
(GMT+13:00) Nuku'alofa
(GMT+14:00) Kiritimati
The GMT offsets shown reflect the offsets
at the moment of the conference
.
Time Band
By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.
Display full program
Specify a time band
-
Save
×
You're viewing the program in a time zone which is different from your device's time zone
change time zone
Thu 17 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
09:00 - 10:30
Tutorials - 17 Morning session - part 1
ESEC/FSE Tutorials
at
Town Plaza GLR
09:00
90m
Tutorial
Program Analysis using WALA (Tutorial)
ESEC/FSE Tutorials
Joanna C. S. Santos
University of Notre Dame
,
Julian Dolby
IBM Research
DOI
11:00 - 12:30
Tutorials - 17 Morning session - part 2
ESEC/FSE Tutorials
at
Town Plaza GLR
11:00
90m
Tutorial
Program Analysis using WALA (Tutorial)
ESEC/FSE Tutorials
Joanna C. S. Santos
University of Notre Dame
,
Julian Dolby
IBM Research
DOI
14:00 - 15:30
Tutorials - 17 Afternoon session - part 1
ESEC/FSE Tutorials
at
Town Plaza GLR
14:00
90m
Tutorial
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
ESEC/FSE Tutorials
Umang Mathur
National University of Singapore
,
Andreas Pavlogiannis
Aarhus University
DOI
Pre-print
16:00 - 17:30
Tutorials - 17 Afternoon session - part 2
ESEC/FSE Tutorials
at
Town Plaza GLR
16:00
90m
Tutorial
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
ESEC/FSE Tutorials
Umang Mathur
National University of Singapore
,
Andreas Pavlogiannis
Aarhus University
DOI
Pre-print
Fri 18 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
09:00 - 10:30
Opening & Keynote
PROMISE
at
Town Plaza GLR
09:20
10m
Day opening
Welcome to PROMISE 2022
PROMISE
Weiyi Shang
Concordia University
,
Gema Rodríguez-Pérez
University of British Columbia (UBC)
,
Shane McIntosh
University of Waterloo
09:30
60m
Keynote
Release Engineering in the AI World: How can Analytics Help?
PROMISE
Bram Adams
Queens University
11:00 - 12:30
Software Quality
PROMISE
at
Town Plaza GLR
11:00
20m
Research paper
On the Effectiveness of Data Balancing Techniques in the Context of ML-based Test Case Prioritization
PROMISE
Jediael Mendoza
,
Jason Mycroft
,
Lyam Milbury
,
Nafiseh Kahani
University of Carlton
,
Jason Jaskolka
11:20
20m
Research paper
Profiling Developers to Predict Vulnerable Code Changes
PROMISE
Tugce Coskun
Istanbul Technical University
,
Rusen Halepmollasi
Istanbul Technical University
,
Khadija Hanifi
Ericsson
,
Ramin Fadaei Fouladi
Ericsson
,
Pinar Comak De Cnudde
Ericsson
,
Ayse Tosun
Istanbul Technical University
11:40
20m
Research paper
Assessing the Quality of GitHub Copilot’s Code Generation
PROMISE
Burak Yetistiren
Bilkent University
,
Isik Ozsoy
Bilkent University
,
Eray Tüzün
Bilkent University
14:00 - 15:30
Prediction Models
PROMISE
at
Town Plaza GLR
14:00
20m
Research paper
Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information
PROMISE
Fahad Al Debeyan
Lancaster University
,
Tracy Hall
Lancaster University
,
David Bowes
Lancaster University
14:20
20m
Research paper
Feature sets in just-in-time defect prediction: An empirical evaluation
PROMISE
Peter Bludau
fortiss GmbH
,
Alexander Pretschner
Technical University of Munich
14:40
20m
Research paper
Predicting Build Outcomes In Continuous Integration Using Textual Analysis of Source Code Commits
PROMISE
Khaled Al-Sabbagh
University of Gothenburg
,
Miroslaw Staron
University of Gothenburg
,
Regina Hebig
University of Gothenburg
15:00
20m
Research paper
Identifying security-related requirements in regulatory documents based on cross-project classification
PROMISE
Mazen Mohamad
Chalmers and University of Gothenburg
,
Jan-Philipp Steghöfer
XITASO GmbH IT & Software Solutions
,
Alexander Åström
Volvo GTT
,
Riccardo Scandariato
Hamburg University of Technology
16:00 - 17:30
Miscellaneous & Closing
PROMISE
at
Town Plaza GLR
16:00
20m
Research paper
Measuring design compliance using neural language models – an automotive case study
PROMISE
Dhasarathy Parthasarathy
Volvo AB
,
Cecilia Ekelin
Volvo AB
,
Anjali Karri
Volvo AB
,
Jiapeng Sun
Volvo AB
,
Panagiotis Moraitis
Volvo AB
16:20
20m
Research paper
API + Code = Better Code Summary? - Insights from an Exploratory Study
PROMISE
Prantik Parashar Sarmah
,
Sridhar Chimalakonda
IIT Tirupati
16:40
20m
Research paper
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and its Implications for Data Recovery
PROMISE
Hammad Ahmad
University of Michigan
,
Colton Holoday
,
Ian Bertram
University of Michigan
,
Kevin Angstadt
,
Zohreh Sharafi
Polytechnique Montréal
,
Westley Weimer
University of Michigan
17:00
10m
Day closing
Farewell PROMISE 2022
PROMISE
Shane McIntosh
University of Waterloo
,
Weiyi Shang
Concordia University
,
Gema Rodríguez-Pérez
University of British Columbia (UBC)
Thu 17 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
Room
9:00
30
10:00
30
11:00
30
12:00
30
13:00
30
14:00
30
15:00
30
16:00
30
17:00
30
Town Plaza GLR
ESEC/FSE Tutorials
Tutorials - 17 Morning session - part 1
ESEC/FSE Tutorials
Tutorials - 17 Morning session - part 2
ESEC/FSE Tutorials
Tutorials - 17 Afternoon session - part 1
ESEC/FSE Tutorials
Tutorials - 17 Afternoon session - part 2
Fri 18 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
Room
9:00
30
10:00
30
11:00
30
12:00
30
13:00
30
14:00
30
15:00
30
16:00
30
17:00
30
Town Plaza GLR
PROMISE
Opening & Keynote
PROMISE
Software Quality
PROMISE
Prediction Models
PROMISE
Miscellaneous & Closing
Thu 17 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
Room
9:00
15
30
45
10:00
15
30
45
11:00
15
30
45
12:00
15
30
45
13:00
15
30
45
14:00
15
30
45
15:00
15
30
45
16:00
15
30
45
17:00
15
30
45
Town Plaza GLR
ESEC/FSE Tutorials
Program Analysis using WALA (Tutorial)
09:00 - 10:30
ESEC/FSE Tutorials
Program Analysis using WALA (Tutorial)
11:00 - 12:30
ESEC/FSE Tutorials
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
14:00 - 15:30
ESEC/FSE Tutorials
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
16:00 - 17:30
Fri 18 Nov
Displayed time zone:
Beijing, Chongqing, Hong Kong, Urumqi
change
Room
9:00
15
30
45
10:00
15
30
45
11:00
15
30
45
12:00
15
30
45
13:00
15
30
45
14:00
15
30
45
15:00
15
30
45
16:00
15
30
45
17:00
15
30
45
Town Plaza GLR
PROMISE
Welcome to PROMISE 2022
09:20 - 09:30
PROMISE
Release Engineering in the AI World: How can Analytics Help?
09:30 - 10:30
PROMISE
On the Effectiveness of Data Balancing Techniques in the Context of ML- ...
11:00 - 11:20
PROMISE
Profiling Developers to Predict Vulnerable Code Changes
11:20 - 11:40
PROMISE
Assessing the Quality of GitHub Copilot’s Code Generation
11:40 - 12:00
PROMISE
Improving the Performance of Code Vulnerability Prediction using Abstra ...
14:00 - 14:20
PROMISE
Feature sets in just-in-time defect prediction: An empirical evaluation
14:20 - 14:40
PROMISE
Predicting Build Outcomes In Continuous Integration Using Textual Analy ...
14:40 - 15:00
PROMISE
Identifying security-related requirements in regulatory documents based ...
15:00 - 15:20
PROMISE
Measuring design compliance using neural language models – an automotiv ...
16:00 - 16:20
PROMISE
API + Code = Better Code Summary? - Insights from an Exploratory Study
16:20 - 16:40
PROMISE
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and its I ...
16:40 - 17:00
PROMISE
Farewell PROMISE 2022
17:00 - 17:10
x
Sun 24 Nov 13:19