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08/31/2023
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing
One of the critical phases in software development is software testing. ...
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08/23/2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Deep reinforcement learning (DRL), leveraging Deep Learning (DL) in rein...
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05/06/2023
Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation
In the context of Just-In-Time Software Defect Prediction (JIT-SDP), Con...
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01/13/2023
Mutation Testing of Deep Reinforcement Learning Based on Real Faults
Testing Deep Learning (DL) systems is a complex task as they do not beha...
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08/25/2022
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks
Software testing activities aim to find the possible defects of a softwa...
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08/18/2022
Quality issues in Machine Learning Software Systems
Context: An increasing demand is observed in various domains to employ M...
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06/30/2022
GitHub Copilot AI pair programmer: Asset or Liability?
Automatic program synthesis is a long-lasting dream in software engineer...
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06/28/2022
An Empirical Study of Challenges in Converting Deep Learning Models
There is an increase in deploying Deep Learning (DL)-based software syst...
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06/24/2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark
The rapid escalation of applying Machine Learning (ML) in various domain...
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02/24/2022
Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms
Estimation of distribution algorithms are evolutionary algorithms that u...
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12/26/2021
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow
Deep Learning (DL) frameworks are now widely used, simplifying the creat...
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11/08/2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
The increasing adoption of Reinforcement Learning in safety-critical sys...
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09/09/2021
The challenge of reproducible ML: an empirical study on the impact of bugs
Reproducibility is a crucial requirement in scientific research. When re...
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08/21/2021
A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data
This paper addresses the problem of learning a sparse structure Bayesian...
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07/26/2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Context: Machine Learning (ML) has been at the heart of many innovations...
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07/20/2021
Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer
Cooperative multi-agent systems are being widely used in variety of area...
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07/05/2021
Design Smells in Deep Learning Programs: An Empirical Study
Nowadays, we are witnessing an increasing adoption of Deep Learning (DL)...
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05/17/2021
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Nowadays, we are witnessing an increasing demand in both corporates and ...
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01/01/2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
A growing demand is witnessed in both industry and academia for employin...
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08/08/2020