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Proceedings
MSR
MSR 2024
Generate Citations
2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)
April 15 2024 to April 16 2024
Lisbon, Portugal
ISBN: 979-8-4007-0587-8
Table of Contents
Thirty-Three Years of Mathematicians and Software Engineers: A Case Study of Domain Expertise and Participation in Proof Assistant Ecosystems
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pp. 1-13
by
Gwenyth Lincroft
,
Minsung Cho
,
Katherine Hough
,
Mahsa Bazzaz
,
Jonathan Bell
Boosting API Misuse Detection via Integrating API Constraints from Multiple Sources
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pp. 14-26
by
Can Li
,
Jingxuan Zhang
,
Yixuan Tang
,
Zhuhang Li
,
Tianyue Sun
Availability and Usage of Platform-Specific APIs: A First Empirical Study
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pp. 27-31
by
Ricardo Job
,
Andre Hora
AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis
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pp. 32-36
by
Jordan Samhi
,
Tegawendé F. Bissyandé
,
Jacques Klein
Goblin: A Framework for Enriching and Querying the Maven Central Dependency Graph
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pp. 37-41
by
Damien Jaime
,
Joyce El Haddad
,
Pascal Poizat
Dataset: Copy-based Reuse in Open Source Software
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pp. 42-47
by
Mahmoud Jahanshahi
,
Audris Mockus
Mining Our Way Back to Incremental Builds for DevOps Pipelines
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pp. 48-49
by
Shane McIntosh
Enhancing Performance Bug Prediction Using Performance Code Metrics
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pp. 50-62
by
Guoliang Zhao
,
Stefanos Georgiou
,
Ying Zou
,
Safwat Hassan
,
Derek Truong
,
Toby Corbin
An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem
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pp. 63-74
by
Xingyu Li
,
Zheng Zhang
,
Zhiyun Qian
,
Trent Jaeger
,
Chengyu Song
CrashJS: A NodeJS Benchmark for Automated Crash Reproduction
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pp. 75-87
by
Philip Oliver
,
Jens Dietrich
,
Craig Anslow
,
Michael Homer
An Empirical Study on Just-in-time Conformal Defect Prediction
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pp. 88-99
by
Xhulja Shahini
,
Andreas Metzger
,
Klaus Pohl
Fine-Grained Just-In-Time Defect Prediction at the Block Level in Infrastructure-as-Code (IaC)
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pp. 100-112
by
Mahi Begoug
,
Moataz Chouchen
,
Ali Ouni
,
Eman Abdullah AlOmar
,
Mohamed Wiem Mkaouer
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs
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pp. 113-117
by
Kaibo Liu
,
Yudong Han
,
Yiyang Liu
,
Jie M. Zhang
,
Zhenpeng Chen
,
Federica Sarro
,
Gang Huang
,
Yun Ma
GitBug-Java: A Reproducible Benchmark of Recent Java Bugs
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pp. 118-122
by
André Silva
,
Nuno Saavedra
,
Martin Monperrus
P3: A Dataset of Partial Program Patches
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pp. 123-127
by
Dirk Beyer
,
Lars Grunske
,
Matthias Kettl
,
Marian Lingsch-Rosenfeld
,
Moeketsi Raselimo
BugsPHP: A dataset for Automated Program Repair in PHP
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pp. 128-132
by
K.D. Pramod
,
W.T.N. De Silva
,
W.U.K. Thabrew
,
Ridwan Shariffdeen
,
Sandareka Wickramanayake
AW4C: A Commit-Aware C Dataset for Actionable Warning Identification
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pp. 133-137
by
Zhipeng Liu
,
Meng Yan
,
Zhipeng Gao
,
Dong Li
,
Xiaohong Zhang
,
Dan Yang
Predicting the Impact of Crashes Across Release Channels
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pp. 138-139
by
Suhaib Mujahid
,
Diego Elias Costa
,
Marco Castelluccio
Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis
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pp. 140-141
by
Sangameshwar Patil
,
B. Ravindran
ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle
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pp. 142-146
by
Liangxuan Wu
,
Yanjie Zhao
,
Xinyi Hou
,
Tianming Liu
,
Haoyu Wang
Write me this Code: An Analysis of ChatGPT Quality for Producing Source Code
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pp. 147-151
by
Konstantinos Moratis
,
Themistoklis Diamantopoulos
,
Dimitrios-Nikitas Nastos
,
Andreas Symeonidis
Quality Assessment of ChatGPT Generated Code and their Use by Developers
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pp. 152-156
by
Mohammed Latif Siddiq
,
Lindsay Roney
,
Jiahao Zhang
,
Joanna C. S. Santos
Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects
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pp. 157-161
by
Balreet Grewal
,
Wentao Lu
,
Sarah Nadi
,
Cor-Paul Bezemer
How I Learned to Stop Worrying and Love ChatGPT
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pp. 162-166
by
Piotr Przymus
,
Mikołaj Fejzer
,
Jakub Narębski
,
Krzysztof Stencel
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
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pp. 167-171
by
Kailun Jin
,
Chung-Yu Wang
,
Hung Viet Pham
,
Hadi Hemmati
The role of library versions in Developer-ChatGPT conversations
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pp. 172-176
by
Rachna Raj
,
Diego Elias Costa
AI Writes, We Analyze: The ChatGPT Python Code Saga
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pp. 177-181
by
Md Fazle Rabbi
,
Arifa Champa
,
Minhaz Zibran
,
Md Rakibul Islam
ChatGPT in Action: Analyzing Its Use in Software Development
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pp. 182-186
by
Arifa I. Champa
,
Md Fazle Rabbi
,
Costain Nachuma
,
Minhaz F. Zibran
Chatting with AI: Deciphering Developer Conversations with ChatGPT
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pp. 187-191
by
Suad Mohamed
,
Abdullah Parvin
,
Esteban Parra
Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests
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pp. 192-196
by
Yue Zhang
,
Rachel Meredith
,
Wilson Reeves
,
Julia Coriolano
,
Muhammad Ali Babar
,
Akond Rahman
On the Taxonomy of Developers’ Discussion Topics with ChatGPT
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pp. 197-201
by
Ertugrul Sagdic
,
Arda Bayram
,
Md Rakibul Islam
How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
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pp. 202-206
by
Eman Abdullah AlOmar
,
Anushkrishna Venkatakrishnan
,
Mohamed Wiem Mkaouer
,
Christian D. Newman
,
Ali Ouni
Analyzing Developer-ChatGPT Conversations for Software Refactoring: An Exploratory Study
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pp. 207-211
by
Soham Deo
,
Divya Hinge
,
Omkar Sandip Chavan
,
Yaxuan Olivia Wang
,
Mohamed Wiem Mkaouer
How Do So ware Developers Use ChatGPT? An Exploratory Study on GitHub Pull Requests
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pp. 212-216
by
Moataz Chouchen
,
Narjes Bessghaier
,
Mahi Begoug
,
Ali Ouni
,
Eman Abdullah AlOmar
,
Mohamed Wiem Mkaouer
Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study
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pp. 217-221
by
Joy Krishan Das
,
Saikat Mondal
,
Chanchal K. Roy
Enhancing User Interaction in ChatGPT: Characterizing and Consolidating Multiple Prompts for Issue Resolution
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pp. 222-226
by
Saikat Mondal
,
Suborno Deb Bappon
,
Chanchal K. Roy
DevGPT: Studying Developer-ChatGPT Conversations
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pp. 227-230
by
Tao Xiao
,
Christoph Treude
,
Hideaki Hata
,
Kenichi Matsumoto
Not all Dockerfile Smells are the Same: An Empirical Evaluation of Hadolint Writing Practices by Experts
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pp. 231-241
by
Giovanni Rosa
,
Simone Scalabrino
,
Gregorio Robles
,
Rocco Oliveto
Supporting High-Level to Low-Level Requirements Coverage Reviewing with Large Language Models
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pp. 242-253
by
Anamaria-Roberta Preda
,
Christoph Mayr-Dorn
,
Atif Mashkoor
,
Alexander Egyed
On the Executability of R Markdown Files
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pp. 254-264
by
Md Anaytul Islam
,
Muhammad Asaduzzman
,
Shaowei Wang
APIstic: A Large Collection of OpenAPI Metrics
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pp. 265-277
by
Souhaila Serbout
,
Cesare Pautasso
Improving Automated Code Reviews: Learning from Experience
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pp. 278-283
by
Hong Yi Lin
,
Patanamon Thongtanunam
,
Christoph Treude
,
Wachiraphan Charoenwet
Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0
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pp. 284-288
by
Tushar Sharma
SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
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pp. 289-293
by
Edi Sutoyo
,
Andrea Capiluppi
Curated Email-Based Code Reviews Datasets
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pp. 294-298
by
Mingzhao Liang
,
Wachiraphan Charoenwet
,
Patanamon Thongtanunam
TestDossier: A Dataset of Tested Values Automatically Extracted from Test Execution
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pp. 299-303
by
Andre Hora
Greenlight: Highlighting TensorFlow APIs Energy Footprint
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pp. 304-308
by
Saurabhsingh Rajput
,
Maria Kechagia
,
Federica Sarro
,
Tushar Sharma
Automating GUI-based Test Oracles for Mobile Apps
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pp. 309-321
by
Kesina Baral
,
Jack Johnson
,
Junayed Mahmud
,
Sabiha Salma
,
Mattia Fazzini
,
Julia Rubin
,
Jeff Offutt
,
Kevin Moran
Global Prosperity or Local Monopoly? Understanding the Geography of App Popularity
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pp. 322-334
by
Liu Wang
,
Conghui Zheng
,
Haoyu Wang
,
Xiapu Luo
,
Gareth Tyson
,
Yi Wang
,
Shangguang Wang
GuiEvo: Automated Evolution of Mobile Application GUIs
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pp. 335-347
by
Sabiha Salma
,
SM Hasan Mansur
,
Yule Zhang
,
Kevin Moran
Comparing Apples to Androids: Discovery, Retrieval, and Matching of iOS and Android Apps for Cross-Platform Analyses
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pp. 348-360
by
Magdalena Steinböck
,
Jakob Bleier
,
Mikka Rainer
,
Tobias Urban
,
Christine Utz
,
Martina Lindorfer
Keep Me Updated: An Empirical Study on Embedded JavaScript Engines in Android Apps
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pp. 361-372
by
Elliott Wen
,
Jiaxiang Zhou
,
Xiapu Luo
,
Giovanni Russello
,
Jens Dietrich
Large Language Model vs. Stack Overflow in Addressing Android Permission Related Challenges
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pp. 373-383
by
Sahrima Jannat Oishwee
,
Natalia Stakhanova
,
Zadia Codabux
DATAR: A Dataset for Tracking App Releases
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pp. 384-388
by
Yasaman Abedini
,
Mohammad Hadi Hajihosseini
,
Abbas Heydarnoori
AndroZoo: A Retrospective with a Glimpse into the Future
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pp. 389-393
by
Marco Alecci
,
Pedro Jesús Ruiz Jiménez
,
Kevin Allix
,
Tegawendé F. Bissyandé
,
Jacques Klein
Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems
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pp. 394-406
by
Oseremen Joy Idialu
,
Noble Saji Mathews
,
Rungroj Maipradit
,
Joanne M. Atlee
,
Meiyappan Nagappan
GIRT-Model: Automated Generation of Issue Report Templates
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pp. 407-418
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Nafiseh Nikeghbal
,
Amir Hossein Kargaran
,
Abbas Heydarnoori
MicroRec: Leveraging Large Language Models for Microservice Recommendation
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pp. 419-430
by
Ahmed Saeed Alsayed
,
Hoa Khanh Dam
,
Chau Nguyen
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
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pp. 431-443
by
Wenxin Jiang
,
Jerin Yasmin
,
Jason Jones
,
Nicholas Synovic
,
Jiashen Kuo
,
Nathaniel Bielanski
,
Yuan Tian
,
George K. Thiruvathukal
,
James C. Davis
Data Augmentation for Supervised Code Translation Learning
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pp. 444-456
by
Binger Chen
,
Jacek Golebiowski
,
Ziawasch Abedjan
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
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pp. 457-468
by
Amir M. Mir
,
Mehdi Keshani
,
Sebastian Proksch
Leveraging GPT-like LLMs to Automate Issue Labeling
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pp. 469-480
by
Giuseppe Colavito
,
Filippo Lanubile
,
Nicole Novielli
,
Luigi Quaranta
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot
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pp. 481-486
by
Kei Koyanagi
,
Dong Wang
,
Kotaro Noguchi
,
Masanari Kondo
,
Alexander Serebrenik
,
Yasutaka Kamei
,
Naoyasu Ubayashi
A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering
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pp. 487-491
by
Md Rakibul Islam
,
Md Fazle Rabbi
,
Youngeun Jo
,
Arifa Champa
,
Ethan Young
,
Camden Wilson
,
Gavin Scott
,
Minhaz Zibran
Opening the Valve on Pure-Data: Usage Patterns and Programming Practices of a Data-Flow Based Visual Programming Language
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pp. 492-497
by
Anisha Islam
,
Kalvin Eng
,
Abram Hindle
The PIPr Dataset of Public Infrastructure as Code Programs
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pp. 498-503
by
Daniel Sokolowski
,
David Spielmann
,
Guido Salvaneschi
A Dataset of Microservices-based Open-Source Projects
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pp. 504-509
by
Dario Amoroso d’Aragona
,
Alexander Bakhtin
,
Xiaozhou Li
,
Ruoyu Su
,
Lauren Adams
,
Ernesto Aponte
,
Francis Boyle
,
Patrick Boyle
,
Rachel Koerner
,
Joseph Lee
,
Fangchao Tian
,
Yuqing Wang
,
Jesse Nyyssölä
,
Ernesto Quevedo
,
Shahidur Md Rahaman
,
Amr S. Abdelfattah
,
Mika Mäntylä
,
Tomas Cerny
,
Davide Taibi
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
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pp. 510-514
by
Christian Birchler
,
Cyrill Rohrbach
,
Timo Kehrer
,
Sebastiano Panichella
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
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pp. 515-519
by
Ramtin Ehsani
,
Mia Mohammad Imran
,
Robert Zita
,
Kostadin Damevski
,
Preetha Chatterjee
A Dataset of Atoms of Confusion in the Android Open Source Project
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pp. 520-524
by
Davi Tabosa
,
Oton Pinheiro
,
Lincoln Rocha
,
Windson Viana
PlayMyData: a curated dataset of multi-platform video games
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pp. 525-529
by
Andrea D’Angelo
,
Claudio Di Sipio
,
Cristiano Politowski
,
Riccardo Rubei
Questioning the Questions We Ask About the Impact of AI on Software Engineering : MSR 2024 Keynote
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pp. 530-530
by
Margaret-Anne Storey
Learning to Predict and Improve Build Successes in Package Ecosystems
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pp. 531-542
by
Harshitha Menon
,
Daniel Nichols
,
Abhinav Bhatele
,
Todd Gamblin
The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds
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pp. 543-555
by
Ajiromola Kola-Olawuyi
,
Nimmi Rashinika Weeraddana
,
Meiyappan Nagappan
A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase
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pp. 556-568
by
Zhili Zeng
,
Tao Xiao
,
Maxime Lamothe
,
Hideaki Hata
,
Shane McIntosh
Cohort Studies for Mining Software Repositories
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pp. 569-570
by
Nyyti Saarimäki
,
Sira Vegas
,
Valentina Lenarduzzi
,
Davide Taibi
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Mikel Robredo
Unveiling ChatGPT’s Usage in Open Source Projects: A Mining-based Study
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pp. 571-583
by
Rosalia Tufano
,
Antonio Mastropaolo
,
Federica Pepe
,
Ozren Dabić
,
Massimiliano Di Penta
,
Gabriele Bavota
DRMiner: A Tool For Identifying And Analyzing Refactorings In Dockerfile
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pp. 584-594
by
Emna Ksontini
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Aycha Abid
,
Rania Khalsi
,
Marouane Kessentini
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges
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pp. 595-606
by
Jiaqi Wu
,
Lingfeng Bao
,
Xiaohu Yang
,
Xin Xia
,
Xing Hu
Analyzing the Evolution and Maintenance of ML Models on Hugging Face
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pp. 607-618
by
Joel Castaño
,
Silverio Martínez-Fernández
,
Xavier Franch
,
Justus Bogner
On the Anatomy of Real-World R Code for Static Analysis
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pp. 619-630
by
Florian Sihler
,
Lukas Pietzschmann
,
Raphael Straub
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Matthias Tichy
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Andor Diera
,
Abdelhalim Dahou
Encoding Version History Context for Better Code Representation
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pp. 631-636
by
Huy Nguyen
,
Christoph Treud
,
Patanamon Thongtanunam
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code
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pp. 637-641
by
Martin Weyssow
,
Claudio Di Sipio
,
Davide Di Ruscio
,
Houari Sahraoui
Bidirectional Paper-Repository Tracing in Software Engineering
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pp. 642-646
by
Daniel Garijo
,
Miguel Arroyo
,
Esteban Gonzalez
,
Christoph Treude
,
Nicola Tarocco
DistilKaggle: A Distilled Dataset of Kaggle Jupyter Notebooks
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pp. 647-651
by
Mojtaba Mostafavi Ghahfarokhi
,
Arash Asgari
,
Mohammad Abolnejadian
,
Abbas Heydarnoori
Estimating Usage Of Open Source Projects
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pp. 652-653
by
Sophia Vargas
,
Georg J.P. Link
,
JaYoung Lee
Options Matter: Documenting and Fixing Non-Reproducible Builds in Highly-Configurable Systems
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pp. 654-664
by
Georges Aaron Randrianaina
,
Djamel Eddine Khelladi
,
Olivier Zendra
,
Mathieu Acher
How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
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pp. 665-676
by
João Helis Bernardo
,
Daniel Alencar Da Costa
,
Sérgio Queiroz de Medeiros
,
Uirá Kulesza
A dataset of GitHub Actions workflow histories
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pp. 677-681
by
Guillaume Cardoen
,
Tom Mens
,
Alexandre Decan
gawd: A Differencing Tool for GitHub Actions Workflows
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pp. 682-686
by
Pooya Rostami Mazrae
,
Alexandre Decan
,
Tom Mens
RABBIT: A tool for identifying bot accounts based on their recent GitHub event history
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pp. 687-691
by
Natarajan Chidambaram
,
Tom Mens
,
Alexandre Decan
Quantifying Security Issues in Reusable JavaScript Actions in GitHub Workflows
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pp. 692-703
by
Hassan Onsori Delicheh
,
Alexandre Decan
,
Tom Mens
What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study
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pp. 704-715
by
Nicolás E. Díaz Ferreyra
,
Mojtaba Shahin
,
Mansooreh Zahedi
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Sodiq Quadri
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Riccardo Scandariato
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
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pp. 716-727
by
Triet Huynh Minh Le
,
Xiaoning Du
,
M. Ali Babar
MalwareBench: Malware samples are not enough
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pp. 728-732
by
Nusrat Zahan
,
Philipp Burckhardt
,
Mikola Lysenko
,
Feross Aboukhadijeh
,
Laurie Williams
Hash4Patch: A Lightweight Low False Positive Tool for Finding Vulnerability Patch Commits
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pp. 733-737
by
Simone Scalco
,
Ranindya Paramitha
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations
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pp. 738-742
by
Chao Ni
,
Liyu Shen
,
Xiaohu Yang
,
Yan Zhu
,
Shaohua Wang
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