SCAM

Keyphrases

Publications

2023

Cindy Wauters, Jens Van der Plas, Quentin Stiévenart, Coen De Roover
Change Pattern Detection for Optimising Incremental Static Analysis. SCAM (2023)
Andrew Chen, Yanfu Yan, Denys Poshyvanyk
ACER: An AST-based Call Graph Generator Framework. SCAM (2023)
Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati
Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? SCAM (2023)
Johannes Villmow, Viola Campos, Jean Petry, Amine Abbad Andaloussi, Adrian Ulges, Barbara Weber
How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? SCAM (2023)
Ali Khatami, Andy Zaidman
Quality Assurance Awareness in Open Source Software Projects on GitHub. SCAM (2023)
Sandro Schulze, Phillipp Engelke, Jacob Krüger
Evolutionary Feature Dependencies: Analyzing Feature Co-Changes in C Systems. SCAM (2023)
Ward Muylaert, Johannes Härtel, Coen De Roover
Symbolic Execution to Detect Semantic Merge Conflicts. SCAM (2023)
Gustavo Vale, Eduardo Fernandes, Eduardo Figueiredo, Sven Apel
Behind Developer Contributions on Conflicting Merge Scenarios. SCAM (2023)
Jiangnan Huang, Bin Lin
CIGAR: Contrastive Learning for GitHub Action Recommendation. SCAM (2023)
Ruben Opdebeeck, Jonas Lesy, Ahmed Zerouali, Coen De Roover
The Docker Hub Image Inheritance Network: Construction and Empirical Insights. SCAM (2023)
Carolin E. Brandt, Danyao Wang, Andy Zaidman
When to Let the Developer Guide: Trade-offs Between Open and Guided Test Amplification. SCAM (2023)
23rd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2023, Bogotá, Colombia, October 2-3, 2023 SCAM (2023)
Matteo Esposito, Davide Falessi
Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods. SCAM (2023)
Luke Swearngan, Mark Hills
Enabling Go Program Analysis in Rascal. SCAM (2023)
Faustino Aguilar, Samuel Grayson, Darko Marinov
Reproducing and Improving the BugsInPy Dataset. SCAM (2023)
João Eduardo Montandon, Luciana Lourdes Silva, Cristiano Politowski, Ghizlane El-Boussaidi, Marco Túlio Valente
Unboxing Default Argument Breaking Changes in Scikit Learn. SCAM (2023)
Amirhossein Deljouyi, Andy Zaidman
Generating Understandable Unit Tests through End-to-End Test Scenario Carving. SCAM (2023)
Himesh Nandani, Mootez Saad, Tushar Sharma
Calibrating Deep Learning-based Code Smell Detection using Human Feedback. SCAM (2023)
Luana Almeida Martins, Heitor A. X. Costa, Márcio Ribeiro, Fabio Palomba, Ivan Machado
Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation. SCAM (2023)
David Reid, Audris Mockus
Applying the Universal Version History Concept to Help De-Risk Copy-Based Code Reuse. SCAM (2023)
Md. Saeed Siddik, Cor-Paul Bezemer
Do Code Quality and Style Issues Differ Across (Non-)Machine Learning Notebooks? Yes! SCAM (2023)
Tao Peng, Shixu Chen, Fei Zhu, Junwei Tang, Junping Liu, Xinrong Hu
PTLVD:Program Slicing and Transformer-based Line-level Vulnerability Detection System. SCAM (2023)
Hongyu Kuang, Feng Yang, Long Zhang, Gaigai Tang, Lin Yang
Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability Detection. SCAM (2023)
Jonathan Katzy, Maliheh Izadi, Arie van Deursen
On the Impact of Language Selection for Training and Evaluating Programming Language Models. SCAM (2023)
Philipp Gnoyke, Sandro Schulze, Jacob Krüger
On Developing and Improving Tools for Architecture-Smell Tracking in Java Systems. SCAM (2023)
Mohammed Adib Khan, Morteza Noferesti, Naser Ezzati-Jivan
PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events. SCAM (2023)
Oton Pinheiro, Lincoln S. Rocha, Windson Viana
How They Relate and Leave: Understanding Atoms of Confusion in Open-Source Java Projects. SCAM (2023)
Matteo Esposito, Sergio Moreschini, Valentina Lenarduzzi, David Hästbacka, Davide Falessi
Can We Trust the Default Vulnerabilities Severity? SCAM (2023)
Brittany Reid, Christoph Treude, Markus Wagner
Using the TypeScript compiler to fix erroneous Node.js snippets. SCAM (2023)

2022