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PROMISE
Publications
2024
Salvador Robles Herrera
,
Verya Monjezi
,
Vladik Kreinovich
,
Ashutosh Trivedi
,
Saeid Tizpaz-Niari
Predicting Fairness of ML Software Configurations.
PROMISE
(2024)
Jafar Akhoundali
,
Sajad Rahim Nouri
,
Kristian F. D. Rietveld
,
Olga Gadyatskaya
MoreFixes: A Large-Scale Dataset of CVE Fix Commits Mined through Enhanced Repository Discovery.
PROMISE
(2024)
Jagrit Acharya
,
Gouri Ginde
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction.
PROMISE
(2024)
Raula Gaikovina Kula
The Ever-Evolving Promises of Data in Software Ecosystems: Models, AI, and Analytics (Keynote).
PROMISE
(2024)
Tapajit Dey
,
Jonathan Loungani
,
James Ivers
Smarter Project Selection for Software Engineering Research.
PROMISE
(2024)
Giacomo Ibba
,
Sabrina Aufiero
,
Rumyana Neykova
,
Silvia Bartolucci
,
Marco Ortu
,
Roberto Tonelli
,
Giuseppe Destefanis
A Curated Solidity Smart Contracts Repository of Metrics and Vulnerability.
PROMISE
(2024)
James Caddy
,
Christoph Treude
Prioritising GitHub Priority Labels.
PROMISE
(2024)
Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2024, Porto de Galinhas, Brazil, 16 July 2024
PROMISE
(2024)
Saori Costa
,
Matheus Paixão
,
Igor Steinmacher
,
Pamella Soares
,
Allysson Allex Araújo
,
Jerffeson Souza
Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects.
PROMISE
(2024)
2023
Sivajeet Chand
,
Sushant Kumar Pandey
,
Jennifer Horkoff
,
Miroslaw Staron
,
Miroslaw Ochodek
,
Darko Durisic
Comparing Word-Based and AST-Based Models for Design Pattern Recognition.
PROMISE
(2023)
Pragya Bhandari
,
Gema Rodríguez-Pérez
BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML.
PROMISE
(2023)
Tim Menzies
Model Review: A PROMISEing Opportunity.
PROMISE
(2023)
David Reid
,
Kristiina Rahkema
,
James Walden
Large Scale Study of Orphan Vulnerabilities in the Software Supply Chain.
PROMISE
(2023)
Umutcan Karakas
,
Ayse Tosun
Automated Fairness Testing with Representative Sampling.
PROMISE
(2023)
Norbert Tihanyi
,
Tamás Bisztray
,
Ridhi Jain
,
Mohamed Amine Ferrag
,
Lucas C. Cordeiro
,
Vasileios Mavroeidis
The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification.
PROMISE
(2023)
Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2023, San Francisco, CA, USA, 8 December 2023
PROMISE
(2023)
Foutse Khomh
Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk).
PROMISE
(2023)
Sousuke Amasaki
On Effectiveness of Further Pre-training on BERT Models for Story Point Estimation.
PROMISE
(2023)
Ayberk Yasa
,
Ege Ergül
,
Hakan Erdogmus
,
Eray Tüzün
Do Developers Fix Continuous Integration Smells?
PROMISE
(2023)
2022
Fahad Al Debeyan
,
Tracy Hall
,
David Bowes
Improving the performance of code vulnerability prediction using abstract syntax tree information.
PROMISE
(2022)
Tugce Coskun
,
Rusen Halepmollasi
,
Khadija Hanifi
,
Ramin Fadaei Fouladi
,
Pinar Comak De Cnudde
,
Ayse Tosun
Profiling developers to predict vulnerable code changes.
PROMISE
(2022)
Peter Bludau
,
Alexander Pretschner
Feature sets in just-in-time defect prediction: an empirical evaluation.
PROMISE
(2022)
Jediael Mendoza
,
Jason Mycroft
,
Lyam Milbury
,
Nafiseh Kahani
,
Jason Jaskolka
On the effectiveness of data balancing techniques in the context of ML-based test case prioritization.
PROMISE
(2022)
Prantik Parashar Sarmah
,
Sridhar Chimalakonda
API + code = better code summary? insights from an exploratory study.
PROMISE
(2022)
Bram Adams
Release engineering in the AI world: how can analytics help? (keynote).
PROMISE
(2022)
Hammad Ahmad
,
Colton Holoday
,
Ian Bertram
,
Kevin Angstadt
,
Zohreh Sharafi
,
Westley Weimer
LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery.
PROMISE
(2022)
Burak Yetistiren
,
Isik Ozsoy
,
Eray Tuzun
Assessing the quality of GitHub copilot's code generation.
PROMISE
(2022)
Mazen Mohamad
,
Jan-Philipp Steghöfer
,
Alexander Åström
,
Riccardo Scandariato
Identifying security-related requirements in regulatory documents based on cross-project classification.
PROMISE
(2022)
Dhasarathy Parthasarathy
,
Cecilia Ekelin
,
Anjali Karri
,
Jiapeng Sun
,
Panagiotis Moraitis
Measuring design compliance using neural language models: an automotive case study.
PROMISE
(2022)
Khaled Walid Al-Sabbagh
,
Miroslaw Staron
,
Regina Hebig
Predicting build outcomes in continuous integration using textual analysis of source code commits.
PROMISE
(2022)
Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, Singapore, Singapore, 17 November 2022
PROMISE
(2022)
2021
Ibtissam Abnane
,
Ali Idri
,
Mohamed Hosni
,
Alain Abran
Heterogeneous ensemble imputation for software development effort estimation.
PROMISE
(2021)
Khaled Walid Al-Sabbagh
,
Miroslaw Staron
,
Regina Hebig
,
Francisco Gomes
A classification of code changes and test types dependencies for improving machine learning based test selection.
PROMISE
(2021)
Leonardo Villalobos-Arias
,
Christian Quesada-López
Comparative study of random search hyper-parameter tuning for software effort estimation.
PROMISE
(2021)
Guru Prasad Bhandari
,
Amara Naseer
,
Leon Moonen
CVEfixes: automated collection of vulnerabilities and their fixes from open-source software.
PROMISE
(2021)
PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, Athens Greece, August 19-20, 2021
PROMISE
(2021)
Leandro L. Minku
Multi-stream online transfer learning for software effort estimation: is it necessary?
PROMISE
(2021)
2020
Solmaz Salimi
,
Maryam Ebrahimzadeh
,
Mehdi Kharrazi
Improving real-world vulnerability characterization with vulnerable slices.
PROMISE
(2020)
Leonardo Villalobos-Arias
,
Christian Quesada-López
,
Jose Guevara-Coto
,
Alexandra Martínez
,
Marcelo Jenkins
Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation.
PROMISE
(2020)
Emtinan I. Mustafa
,
Rasha Osman
SEERA: a software cost estimation dataset for constrained environments.
PROMISE
(2020)
Hamoud Aljamaan
,
Amal Alazba
Software defect prediction using tree-based ensembles.
PROMISE
(2020)
David Bowes
,
Giuseppe Destefanis
,
Tracy Hall
,
Jean Petric
,
Marco Ortu
Fault-insertion and fault-fixing: analysing developer activity over time.
PROMISE
(2020)
Wisam Haitham Abbood Al-Zubaidi
,
Patanamon Thongtanunam
,
Hoa Khanh Dam
,
Chakkrit Tantithamthavorn
,
Aditya Ghose
Workload-aware reviewer recommendation using a multi-objective search-based approach.
PROMISE
(2020)
Sousuke Amasaki
,
Hirohisa Aman
,
Tomoyuki Yokogawa
An exploratory study on applicability of cross project defect prediction approaches to cross-company effort estimation.
PROMISE
(2020)
PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020
PROMISE
(2020)
H. Alperen Çetin
,
Eray Tüzün
Identifying key developers using artifact traceability graphs.
PROMISE
(2020)
2019
Valentina Lenarduzzi
,
Nyyti Saarimäki
,
Davide Taibi
The Technical Debt Dataset.
PROMISE
(2019)
Song Wang
,
Chetan Bansal
,
Nachiappan Nagappan
,
Adithya Abraham Philip
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes.
PROMISE
(2019)
Idan Amit
,
Dror G. Feitelson
Which Refactoring Reduces Bug Rate?
PROMISE
(2019)
Hadi Jahanshahi
,
Dhanya Jothimani
,
Ayse Basar
,
Mucahit Cevik
Does chronology matter in JIT defect prediction?: A Partial Replication Study.
PROMISE
(2019)