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This paper introduces Cloud9, a platform for automated testing of real-world software. Our main contribution is the scalable parallelization of symbolic execution on clusters of commodity hardware, to help cope with path explosion. Cloud9 provides a system ...
End-user software is executed billions of times daily, but the corresponding execution details (“by-products”) are discarded. We hypothesize that, if suitably captured and aggregated, these by-products could substantially speed up the process of testing pr ...
Manual software testing is laborious and prone to human error. Yet, among practitioners, it is the most popular method for quality assurance. Automating the test case generation promises better effectiveness, especially for exposing corner-case bugs. Symbo ...
As a benchmark exercise for testing software and methods developed in Hycon2 for decen- tralized and distributed control, we address the problem of designing the Automatic Genera- tion Control (AGC) layer in power network systems. In particular, we present ...
Testing of critical PLC (Programmable Logic Controller) programs remains a challenging task for control system engineers as it can rarely be automated. This paper proposes a model-based approach which uses the BIP (Behavior, Interactions and Priorities) fr ...
A critical part of developing a reliable software system is testing its recovery code. This code is traditionally difficult to test in the lab, and, in the field, it rarely gets to run; yet, when it does run, it must execute flawlessly in order to recover ...
A natural and intuitive operation of multifunctional upper limb prostheses involves the concurrent activation of multiple degrees of freedom in a proportional way. Several approaches to simultaneous and proportional control strategies have been investigate ...
Traditional testing is inadequate for the complexity of modern cloud application software stacks. While the platform-as-a-service (PaaS) model has streamlined application development and deployment, its multiple abstraction layers and dependencies have mad ...
This paper addresses the problem of rate distortion analysis in the context of multi-view image coding, where images are predicted via disparity compensation based on depth map. We first present an an- alytical model for the variance of the residual error ...
Deconvolution is an image restoration technique which improves image contrast, resolution and signal to noise ratio. In modern optical microscopy and biological research deconvolution is becoming a fundamental processing step which allows for better image ...
