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08/03/2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Deep reinforcement learning algorithms (DRL) are increasingly being used...
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03/08/2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Deep neural networks (DNNs) are widely used in various application domai...
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06/15/2022
Search-Based Testing Approach for Deep Reinforcement Learning Agents
Deep Reinforcement Learning (DRL) algorithms have been increasingly empl...
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12/20/2021
Black-Box Testing of Deep Neural Networks through Test Case Diversity
Deep Neural Networks (DNNs) have been extensively used in many areas inc...
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06/03/2019
Static Code Analysis of Multilanguage Software Systems
Identifying dependency call graphs of multilanguage software systems usi...
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03/14/2018
What Should You Know Before Developing a Service Identification Approach
In this paper, we answer a set of research questions that are required t...
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03/14/2018
Identifying KDM Model of JSP Pages
In this report, we propose our approach that identifies a KDM model of J...
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03/14/2018
A Static Program Slicing Approach for Output Stream Objects in JEE Applications
In this paper, we propose a program slicing approach for the output stre...
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03/14/2018
