MaLTeSQuE 2022
Mon 14 - Fri 18 November 2022
Singapore
co-located with
ESEC/FSE 2022
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Venue: NUS U-Town
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Mon 14 Nov
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Fri 18 Nov
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ESEC/FSE 2022
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MaLTeSQuE 2022 (
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NUS U-Town
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Room information: Town Plaza GLR
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NUS U-Town
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Town Plaza GLR
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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 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
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15:00
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16:00
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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
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11:00
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12:00
30
13:00
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14:00
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15:00
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17:00
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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
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10:00
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11:00
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12:00
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15:00
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16:00
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17:00
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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
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12:00
15
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13:00
15
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14:00
15
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15:00
15
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16:00
15
30
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17:00
15
30
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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
Tue 31 Dec 11:14