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05/25/2023
Impact of Log Parsing on Log-based Anomaly Detection
Software systems log massive amounts of data, recording important runtim...
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03/13/2023
Systematic Evaluation of Deep Learning Models for Failure Prediction
With the increasing complexity and scope of software systems, their depe...
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01/31/2023
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search
In Machine Learning (ML)-enabled autonomous systems (MLASs), it is essen...
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11/29/2022
Rigorous Assessment of Model Inference Accuracy using Language Cardinality
Models such as finite state automata are widely used to abstract the beh...
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10/27/2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Deep Neural Networks (DNNs) have been widely used to perform real-world ...
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05/17/2022
Literature Review to Collect Conceptual Variables of Scenario Methods for Establishing a Conceptual Scenario Framework
Over recent decades, scenarios and scenario-based software/system engine...
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04/14/2022
Environment Imitation: Data-Driven Environment Model Generation Using Imitation Learning for Efficient CPS Goal Verification
Cyber-Physical Systems (CPS) continuously interact with their physical e...
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06/03/2021
PRINS: Scalable Model Inference for Component-based System Logs
Behavioral software models play a key role in many software engineering ...
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01/26/2021
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
We distinguish two general modes of testing for Deep Neural Networks (DN...
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12/12/2020
Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
The increasing levels of software- and data-intensive driving automation...
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12/11/2020
Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
Automatically detecting the positions of key-points (e.g., facial key-po...
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04/15/2020
Effective Removal of Operational Log Messages: an Application to Model Inference
Model inference aims to extract accurate models from the execution logs ...
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11/28/2019
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
There is a growing body of research on developing testing techniques for...
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08/06/2019
Scalable Inference of System-level Models from Component Logs
Behavioral software models play a key role in many software engineering ...
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09/14/2017