Download Formal Techniques for Safety-Critical Systems: Second by Cyrille Artho, Peter Csaba Ölveczky (eds.) PDF

By Cyrille Artho, Peter Csaba Ölveczky (eds.)

This ebook constitutes the refereed lawsuits of the second one foreign Workshop, FTSCS 2013, held in Queenstown, New Zealand, in October 2013. The 17 revised complete papers provided including an invited speak have been rigorously reviewed and chosen from 32 submissions. The papers handle quite a few subject matters concerning the appliance of formal and semi-formal tips on how to increase the standard of safety-critical computing device systems.

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Read or Download Formal Techniques for Safety-Critical Systems: Second International Workshop, FTSCS 2013, Queenstown, New Zealand, October 29--30, 2013. Revised Selected Papers PDF

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Additional info for Formal Techniques for Safety-Critical Systems: Second International Workshop, FTSCS 2013, Queenstown, New Zealand, October 29--30, 2013. Revised Selected Papers

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3 Transition Relation For generating test cases with associated test data, the model behavior is formally encoded by means of a transition relation Φ. We describe transition relations relating pre- and post-states by means of first order predicates over unprimed and primed symbols from BCS ∪ V ∪ {tˆ}, where BCS =def s∈SM L(s) (“BCS” stands for “basic control states”). The unprimed symbols refer to the symbol value in the pre-state, and the primed symbols to post-state values. The variables with prefix “ old” are interpreted as unprimed symbols.

Also, similar functionalities mainly related to error managements in other components and CHI are ignored. Note that our most priority of modeling the FlexRay protocol is to fulfill the need of timing analysis, which is not required to consider situations with errors in the first place. Therefore, the modeling process is more like picking up the traces of successful frame transmissions but trimming off error processing behaviors. State Space Reduction. After the above two steps of the abstractions, FlexRay model looks simple considering the number of explicit states and transitions.

Our algorithm for identifying variables (Algorithm 1) iterates over the list of case frames (line 1) analyzing each condition (lines 2–3), which comprises a conjunction of disjunctions, and each action (line 15). When analyzing conditions, we extract variables from the Condition Patient (CPT) role. For example, Table 1 shows that the voltage is the CPT of the first condition. Thus, if the corresponding variable has not yet been identified (lines 5–6), we create a new Model-Based Testing from Controlled Natural Language Requirements 27 variable considering the CPT content, besides replacing the white spaces by an underscore (line 7).

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