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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
ESEC/FSE 2022 (series) / NUS U-Town /

Room information: Town Plaza GLR

VenueNUS U-Town
Room nameTown Plaza GLR
Floor0
Room InformationNo extra information available
Program

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Thu 17 Nov

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

09:00 - 10:30
Tutorials - 17 Morning session - part 1Tutorials at Town Plaza GLR
09:00
90m
Tutorial
Program Analysis using WALA (Tutorial)
Tutorials
Joanna C. S. Santos University of Notre Dame, Julian Dolby IBM Research
DOI
11:00 - 12:30
Tutorials - 17 Morning session - part 2Tutorials at Town Plaza GLR
11:00
90m
Tutorial
Program Analysis using WALA (Tutorial)
Tutorials
Joanna C. S. Santos University of Notre Dame, Julian Dolby IBM Research
DOI
14:00 - 15:30
Tutorials - 17 Afternoon session - part 1Tutorials at Town Plaza GLR
14:00
90m
Tutorial
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
Tutorials
Umang Mathur National University of Singapore, Andreas Pavlogiannis Aarhus University
DOI Pre-print
16:00 - 17:30
Tutorials - 17 Afternoon session - part 2Tutorials at Town Plaza GLR
16:00
90m
Tutorial
Dynamic Data Race Prediction: Fundamentals, Theory, and Practice (Tutorial)
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 & KeynotePROMISE 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 QualityPROMISE 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 ModelsPROMISE 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 & ClosingPROMISE 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

Room9:003010:003011:003012:003013:003014:003015:003016:003017:0030
Town Plaza GLR

Tutorials

Tutorials - 17 Morning session - part 1

Tutorials

Tutorials - 17 Morning session - part 2

Tutorials

Tutorials - 17 Afternoon session - part 1

Tutorials

Tutorials - 17 Afternoon session - part 2

Fri 18 Nov

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

Room9:003010:003011:003012:003013:003014:003015:003016:003017:0030
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

Room9:0015304510:0015304511:0015304512:0015304513:0015304514:0015304515:0015304516:0015304517:00153045
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

Room9:0015304510:0015304511:0015304512:0015304513:0015304514:0015304515:0015304516:0015304517:00153045
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