ESEC/FSE 2023 CoLos
31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)
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19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023), December 8, 2023, San Francisco, CA, USA

PROMISE 2023 – Proceedings

Contents - Abstracts - Authors
Twitter: https://twitter.com/esecfse

19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023)

Frontmatter

Title Page
Article: fsews23promiseforeword-fm000-p doi:
Welcome from the Chairs
Article: fsews23promiseforeword-fm001-p doi:
PROMISE 2023 Organization
Article: fsews23promiseforeword-fm002-p doi:

Invited Talk

Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk)
Foutse Khomh
(Polytechnique Montréal, Canada)
Publisher's Version Article: fsews23promisemain-key1-p doi:10.1145/3617555.3634736

Papers

BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML
Pragya Bhandari and Gema Rodríguez-Pérez
(University of British Columbia, Canada)
Publisher's Version Article: fsews23promisemain-p12-p doi:10.1145/3617555.3617875
Do Developers Fix Continuous Integration Smells?
Ayberk Yaşa, Ege Ergül, Hakan Erdogmus, and Eray Tüzün
(Bilkent University, Turkiye; Carnegie Mellon University, USA)
Publisher's Version Article: fsews23promisemain-p2-p doi:10.1145/3617555.3617870
Large Scale Study of Orphan Vulnerabilities in the Software Supply Chain
David Reid, Kristiina Rahkema, and James Walden
(University of Tennessee at Knoxville, USA; University of Tartu, Estonia; Northern Kentucky University, USA)
Publisher's Version Article: fsews23promisemain-p7-p doi:10.1145/3617555.3617872
The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification
Norbert Tihanyi, Tamas Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, and Vasileios Mavroeidis
(Technology Innovation Institute, United Arab Emirates; University of Oslo, Norway; University of Manchester, UK)
Publisher's Version Published Artifact Artifacts Available Artifacts Functional Article: fsews23promisemain-p11-p doi:10.1145/3617555.3617874
Comparing Word-Based and AST-Based Models for Design Pattern Recognition
Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, and Darko Durisic
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Poznan University, Poland; Volvo Cars, Gothenburg, Sweden)
Publisher's Version Article: fsews23promisemain-p9-p doi:10.1145/3617555.3617873
On Effectiveness of Further Pre-training on BERT Models for Story Point Estimation
Sousuke Amasaki
(Okayama Prefectural University, Japan)
Publisher's Version Article: fsews23promisemain-p16-p doi:10.1145/3617555.3617877
Automated Fairness Testing with Representative Sampling
Umutcan Karakas and Ayse Tosun
(Istanbul Technical University, Turkiye)
Publisher's Version Article: fsews23promisemain-p5-p doi:10.1145/3617555.3617871
Model Review: A PROMISEing Opportunity
Tim Menzies
(North Carolina State University, USA)
Publisher's Version Article: fsews23promisemain-p14-p doi:10.1145/3617555.3617876

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