ESEC/FSE 2022 CoLos
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)
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18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022)
,
November 17, 2022
,
Singapore, Singapore
PROMISE 2022 – Proceedings
Contents
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Abstracts
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Authors
Twitter:
https://twitter.com/esecfse
18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022)
Frontmatter
Title Page
Message from the Chairs
Keynote
Release Engineering in the AI World: How Can Analytics Help? (Keynote)
Bram Adams
(Queen’s University, Canada)
Publisher's Version
Papers
Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information
Fahad Al Debeyan
,
Tracy Hall
, and
David Bowes
(Lancaster University, UK)
Publisher's Version
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
Publisher's Version
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation
Peter Bludau
and
Alexander Pretschner
(fortiss, Germany; TU Munich, Germany)
Publisher's Version
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun
,
Rusen Halepmollasi
,
Khadija Hanifi
,
Ramin Fadaei Fouladi
,
Pinar Comak De Cnudde
, and
Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
Publisher's Version
Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits
Khaled Al-Sabbagh
,
Miroslaw Staron
, and
Regina Hebig
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden)
Publisher's Version
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad
, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and
Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
Publisher's Version
Assessing the Quality of GitHub Copilot’s Code Generation
Burak Yetistiren
,
Isik Ozsoy
, and
Eray Tuzun
(Bilkent University, Turkey)
Publisher's Version
Info
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft,
Lyam Milbury
,
Nafiseh Kahani
, and
Jason Jaskolka
(Carleton University, Canada)
Publisher's Version
Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification
Mazen Mohamad
,
Jan-Philipp Steghöfer
, Alexander Åström, and
Riccardo Scandariato
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Xitaso, Germany; Comentor, Sweden; Hamburg University of Technology, Germany)
Publisher's Version
API + Code = Better Code Summary? Insights from an Exploratory Study
Prantik Parashar Sarmah
and
Sridhar Chimalakonda
(IIT Tirupati, India)
Publisher's Version
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