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32nd ACM International Conference on the Foundations of Software Engineering (FSE 2024)
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20th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2024)
,
July 16, 2024
,
Porto de Galinhas, Brazil
PROMISE 2024 – Proceedings
Contents
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Abstracts
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Authors
Twitter:
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20th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2024)
Frontmatter
Title Page
Welcome from the Chairs
PROMISE 2024 Organization
Keynote
The Ever-Evolving Promises of Data in Software Ecosystems: Models, AI, and Analytics (Keynote)
Raula Gaikovina Kula
(Nara Institute of Science and Technology, Japan)
Publisher's Version
Papers
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction
Jagrit Acharya
and
Gouri Ginde
(University of Calgary, Canada)
Publisher's Version
Smarter Project Selection for Software Engineering Research
Tapajit Dey
,
Jonathan Loungani
, and
James Ivers
(Carnegie Mellon University, USA)
Publisher's Version
Published Artifact
Artifacts Available
Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects
Saori Costa
,
Matheus Paixao
,
Igor Steinmacher
,
Pamella Soares
,
Allysson Allex Araújo
, and
Jerffeson Souza
(State University of Ceará, Brazil; Northern Arizona University, USA; Federal University of Cariri, Brazil)
Publisher's Version
Info
A Curated Solidity Smart Contracts Repository of Metrics and Vulnerability
Giacomo Ibba
,
Sabrina Aufiero
,
Rumyana Neykova
,
Silvia Bartolucci
,
Marco Ortu
,
Roberto Tonelli
, and
Giuseppe Destefanis
(University of Cagliari, Italy; University College London, United Kingdom; Brunel University, United Kingdom)
Publisher's Version
MoreFixes: A Large-Scale Dataset of CVE Fix Commits Mined through Enhanced Repository Discovery
Jafar Akhoundali
,
Sajad Rahim Nouri
,
Kristian Rietveld
, and
Olga Gadyatskaya
(Leiden University, Netherlands; Islamic Azad University of Ramsar, Iran)
Publisher's Version
Published Artifact
Artifacts Available
Prioritising GitHub Priority Labels
James Caddy
and
Christoph Treude
(University of Adelaide, Australia; Singapore Management University, Singapore)
Publisher's Version
Published Artifact
Info
Artifacts Available
Predicting Fairness of ML Software Configurations
Salvador Robles Herrera
,
Verya Monjezi
,
Vladik Kreinovich
,
Ashutosh Trivedi
, and
Saeid Tizpaz-Niari
(University of Texas at El Paso, USA; University of Colorado Boulder, USA)
Publisher's Version
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