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20192026
most citedComparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study

57 citations · 116 across the 31 of their papers we have counts for

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5 papers · 1 filter

cs.LG2019★ 57 cited

Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study

Fitash Ul Haq, Donghwan Shin, Shiva Nejati +1

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: Offline testing where DNN…

cs.SE2019★ 10 cited

Approximation-Refinement Testing of Compute-Intensive Cyber-Physical Models: An Approach Based on System Identification

Claudio Menghi, Shiva Nejati, Lionel C. Briand +1

Black-box testing has been extensively applied to test models of Cyber-Physical systems (CPS) since these models are not often amenable to static and symbolic testing and verificat…

cs.SE2019

Evaluating Model Testing and Model Checking for Finding Requirements Violations in Simulink Models

Shiva Nejati, Khouloud Gaaloul, Claudio Menghi +3

Matlab/Simulink is a development and simulation language that is widely used by the Cyber-Physical System (CPS) industry to model dynamical systems. There are two mainstream approa…

cs.SE2019★ 18 cited

Dynamic Adaptation of Software-defined Networks for IoT Systems: A Search-based Approach

Seung Yeob Shin, Shiva Nejati, Mehrdad Sabetzadeh +3

The concept of Internet of Things (IoT) has led to the development of many complex and critical systems such as smart emergency management systems. IoT-enabled applications typical…

cs.SE2019

Generating Automated and Online Test Oracles for Simulink Models with Continuous and Uncertain Behaviors

Claudio Menghi, Shiva Nejati, Khouloud Gaaloul +1

Test automation requires automated oracles to assess test outputs. For cyber physical systems (CPS), oracles, in addition to be automated, should ensure some key objectives: (i) th…