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Exploring Sustainability in Scientific Software through Code Quality & Test Coverage Metrics
Sheikh Md. Mushfiqur Rahman, Gregory R. Watson, Nasir U. Eisty
Context: Scientific open-source software (SciOSS) plays a foundational role in research and engineering, yet its long-term sustainability has often been overlooked and remains a si…
Beyond Pass/Fail: The Story of Learning-Based Testing
Sheikh Md. Mushfiqur Rahman, Nasir Eisty
Learning-Based Testing (LBT) merges learning and testing processes to achieve both testing and behavioral adequacy. LBT utilizes active learning to infer the model of the System Un…
Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
Sheikh Md Mushfiqur Rahman, Nasir Eisty
Context: Deep Neural Networks (DNNs) are increasingly deployed in critical applications, where resilience against adversarial inputs is paramount. However, whether coverage-based o…
Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
Sheikh Md. Mushfiqur Rahman, Nasir U. Eisty
Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential…