FSE 2024 CoLos
32nd ACM International Conference on the Foundations of Software Engineering (FSE 2024)
Powered by
Conference Publishing Consulting

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

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

proc time: 2