Search Results - "Haq, Fitash Ul"
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1
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Published in 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) (01-05-2023)“…Deep Neural Networks (DNNs) have been widely used to perform real-world tasks in cyber-physical systems such as Autonomous Driving Systems (ADS). Ensuring the…”
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Conference Proceeding -
2
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization
Published in 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) (01-05-2022)“…With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such as Automated Driving Systems (ADS) for self-driving cars, ensuring the…”
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Conference Proceeding -
3
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems
Published in Empirical software engineering : an international journal (01-09-2021)“…We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets…”
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Journal Article -
4
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
Published in 2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST) (01-10-2020)“…There is a growing body of research on developing testing techniques for Deep Neural Networks (DNNs). We distinguish two general modes of testing for DNNs:…”
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Conference Proceeding -
5
Building BESSER: an open-source low-code platform
Published 24-05-2024“…Low-code platforms (latest reincarnation of the long tradition of model-driven engineering approaches) have the potential of saving us countless hours of…”
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Journal Article -
6
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Published 25-05-2021“…Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications,…”
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Journal Article -
7
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Published 30-04-2021“…Empir Software Eng 26, 90 (2021) We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as…”
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Journal Article -
8
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
Published 28-11-2019“…There is a growing body of research on developing testing techniques for Deep Neural Networks (DNN). We distinguish two general modes of testing for DNNs:…”
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Journal Article -
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Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Published in Empirical software engineering : an international journal (01-12-2022)Get full text
Journal Article -
10
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Published in Empirical software engineering : an international journal (01-10-2021)“…We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets…”
Get full text
Journal Article -
11
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Published 27-10-2022“…Deep Neural Networks (DNNs) have been widely used to perform real-world tasks in cyber-physical systems such as Autonomous Driving Systems (ADS). Ensuring the…”
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Journal Article -
12
Message from the QuaLAS Workshop Chairs
Published in 2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW) (09-10-2023)Get full text
Conference Proceeding -
13
A Model-Based Testing Approach for Cockpit Display Systems of Avionics
Published in 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS) (01-09-2019)“…Avionics are highly critical systems that require extensive testing governed by international safety standards. Cockpit Display Systems (CDS) are an essential…”
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Conference Proceeding