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5th AST@ICSE 2024: Lisbon, Portugal

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Francesca Lonetti, Antonio Guerriero, Mehrdad Saadatmand, Christof J. Budnik, Jenny Li:
Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), Lisbon, Portugal, April 15-16, 2024. ACM 2024
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Samia Al Blwi, Amani Ayad, Ali Mili:
Mutation Coverage is not Strongly Correlated with Mutation Coverage. 1-11
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  - conf/ast/SterkWHZ24
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Alexander Sterk, Mairieli Wessel, Eli Hooten, Andy Zaidman:
Running a Red Light: An Investigation into Why Software Engineers (Occasionally) Ignore Coverage Checks. 12-22
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  - conf/ast/CanizaresAPGL24
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Pablo C. Cañizares, Romulo Daniel Avila Ortiz, Sara Pérez-Soler, Esther Guerra, Juan de Lara:
Coverage-based Strategies for the Automated Synthesis of Test Scenarios for Conversational Agents. 23-33
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  - conf/ast/AuerM024
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Michael Auer, Iván Arcuschin Moreno, Gordon Fraser:
WallMauer: Robust Code Coverage Instrumentation for Android Apps. 34-44
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Khalid El Haji, Carolin E. Brandt, Andy Zaidman:
Using GitHub Copilot for Test Generation in Python: An Empirical Study. 45-55
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  - conf/ast/HufkensRMV24
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Lianne V. Hufkens, Fernando Pastor Ricós, Beatriz Marín, Tanja E. J. Vos:
Grammar-Based Action Selection Rules for Scriptless Testing. 56-65
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Björn Otto, Tobias Kleinert:
Fences: Systematic Sample Generation for JSON Schemas using Boolean Algebra and Flow Graphs. 66-75
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  - conf/ast/HoffmannF24
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Jacob Hoffmann, Demian Frister:
Generating Software Tests for Mobile Applications Using Fine-Tuned Large Language Models. 76-77
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Cheng-Yao Guo, Fang Yu:
Sugar-coated poison defense on deepfake face-swapping attacks. 78-87
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Elena Masserini, Davide Ginelli, Daniela Micucci, Daniela Briola, Leonardo Mariani:
Anonymizing Test Data in Android: Does It Hurt? 88-98
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Abhishek Shrestha, Jürgen Großmann:
Properties that allow or prohibit transferability of adversarial attacks among quantized networks. 99-109
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Alessandro Marchetto:
Can explainability and deep-learning be used for localizing vulnerabilities in source code? 110-119
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Viraj Rohit Gala, Martin A. Schneider, Marvin Vogt:
Towards an Empirical Robustness Assessment Through Measuring Adversarial Subspaces. 120-124
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  - conf/ast/KhanALSCTS24
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Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Qasim Tauseef, Gkerta Seferi:
Machine Learning-based Test Case Prioritization using Hyperparameter Optimization. 125-135
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Quentin Mazouni, Helge Spieker, Arnaud Gotlieb, Mathieu Acher:
Testing for Fault Diversity in Reinforcement Learning. 136-146
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Benjamin Leu, Jonas Volken, Martin Kropp, Nejdet Dogru, Craig Anslow, Robert Biddle:
Reducing Workload in Using AI-based API REST Test Generation. 147-148
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Luca Giamattei, Antonio Guerriero, Ivano Malavolta, Cristian Mascia, Roberto Pietrantuono, Stefano Russo:
Identifying Performance Issues in Microservice Architectures through Causal Reasoning. 149-153
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Alina Torbunova, Per Erik Strandberg, Ivan Porres:
Dynamic Test Case Prioritization in Industrial Test Result Datasets. 154-158
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Victor Crespo-Rodriguez, Neelofar, Aldeida Aleti:
PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles. 159-170
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Islam T. Elgendy, Robert M. Hierons, Phil McMinn:
Evaluating String Distance Metrics for Reducing Automatically Generated Test Suites. 171-181
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Stefan Fischer, Pirmin Urbanke, Rudolf Ramler, Monika Steidl, Michael Felderer:
An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study. 182-192
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Malte Götharsson, Karl Stahre, Gregory Gay, Francisco Gomes de Oliveira Neto:
Exploring the Role of Automation in Duplicate Bug Report Detection: An Industrial Case Study. 193-203
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Neda Dziugaite, Baris Ardiç, Andy Zaidman:
What Are Massive Open Online Courses (MOOCs) Teaching About Software Testing? 204-208
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Aritra Ahmed, Ramiro Liscano, Akramul Azim, Yee-Kang Chang, Vijay Sundaresan:
Identification of Java lock contention anti-patterns based on run-time performance data. 209-213
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Andy Zaidman:
An Inconvenient Truth in Software Engineering? The Environmental Impact of Testing Open Source Java Projects. 214-218
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Liliana Marie Prikler, Franz Wotawa:
9 in 10 cameras agree: Pedestrians in front possibly endangered. 219-223
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Camille Molinier, Paul Temple, Gilles Perrouin:
FairPipes: Data Mutation Pipelines for Machine Learning Fairness. 224-234

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