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The tool is based on classic software verification techniques (due to Hoare, Dijkstra, Flanagan, Leino, etc)., but adds several important innovations: a novel mechanism for incorporating control-plane assumptions and domain-specific optimizations, both of which are needed to scale up to large programs.
Software verification techniques, such as model checking (Clark 1999, Jhala & Majumdar 2009), can be applied to robotic applications but characteristics of this application area, including addition of a robot environment model and handling continuous spatial location well, exacerbate state explosion, a key weakness of these methods.
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This paper shows the application of a type of formal software verification technique known as lightweight model checking to a domain model in healthcare informatics in general and public health surveillance systems in particular.
In particular, service- and thing-based systems pose new challenges for software composition and verification techniques, due to changing requirements, emerging behaviors, uncertainty, and dynamicity.
They are designed to perform DSP functions in an efficient method, using conventional software programming design and verification techniques discussed in the chapter.
Often called "DSPs" due to the function they perform, they are designed to perform DSP functions in an efficient method, using conventional software programming design and verification techniques discussed in the chapter.
Applying finite-state verification techniques to software systems looks attractive because they are capable of detecting very subtle defects in the logic design of these systems.
I have enjoyed teaching sophomores in introductory courses, and several of them have been piqued by my research interests to take my graduate course on research techniques in software verification.
We are seeing an increased push in the use of formal verification techniques in safety-critical software and hardware in practice.
Dill has interests in the theory and application of formal verification techniques to system designs, which encompass hardware, protocols, and software and in computational systems biology.
The algebraic models provide: (i) modular descriptions of pipelined systems; (ii) equational correctness criteria; and (iii) equational specification and verification techniques for the design of pipelined systems applicable to a range of software systems.
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