By Alessandro Aldini
Concurrency concept, software program structure, process modeling and verification, and dependability and function review could appear unrelated disciplines, yet in truth they're deeply intertwined and will join an built-in view with a view to effectively deal with the expanding complexity of software program structures today.
This booklet introduces a procedure algebraic method of software program structure layout. approach algebra, initially conceived for reasoning in regards to the semantics of concurrent courses, presents a foundational foundation for the modeling and verification of practical and nonfunctional elements of speaking concurrent structures. this is exploited on the software program structure point of layout to enhance the formality of layout files and make attainable the research of procedure homes on the early layout stages.
The first a part of the ebook deals an outline of the techniques and result of technique algebra concept delivering heritage fabric at the syntax and semantics for approach calculi in addition to at the bisimulation, trying out, and hint ways to the definition of behavioral equivalences for nondeterministic, deterministically timed, and stochastically timed processes.
Part supplies instructions for a principled transformation of technique algebra into an architectural description language, ahead of demonstrating tips on how to use strategy algebraic concepts to deal with the detection of architecture-level mismatches, performance-driven choice between replacement designs, and the fulfillment of a tradeoff among dependability positive aspects and function indices.
Graduate scholars and software program execs, will discover a strategy Algebraic method of software program structure layout an invaluable addition to their bookshelf.
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Extra resources for A Process Algebraic Approach to Software Architecture Design
3. 4. 5. 6. a . P1 ≈Tr a . P2 for all a ∈ Name. P1 + P ≈Tr P2 + P and P + P1 ≈Tr P + P2 for all P ∈ P. P1 S P ≈Tr P2 S P and P S P1 ≈Tr P S P2 for all P ∈ P and S ⊆ Namev . P1 /H ≈Tr P2 /H for all H ⊆ Namev . P1 \L ≈Tr P2 \L for all L ⊆ Namev . P1 [ϕ ] ≈Tr P2 [ϕ ] for all ϕ ∈ Relab. 6 Trace Equivalence 33 We observe that, although it abstracts from τ -actions, ≈Tr does not incur the congruence problem of ≈B with respect to the alternative composition operator. The reason is the insensitivity of ≈Tr to the branching structure of process terms.
Each of these canonical tests admits a main computation leading to a final state, which either denotes failure or reaches success in one step after executing any of its actions. The intermediate states and the final state are able to detect divergence through τ . ω . 0. 20. The set Tc,may of canonical may-tests is generated by the following syntax: T ::= ω . 0 | a . T where a ∈ Namev . The set Tc,must of canonical must-tests is generated by the following syntax: T ::= 0 | ∑ a . ω . 0 | b . T + τ .
7 The Linear-Time/Branching-Time Spectrum 39 We conclude by mentioning that all these behavioral equivalences coincide in the case of process terms whose underlying labeled transition systems are deterministic. This property has been exploited in Sects. 5 for reconducting the verification of ≈T and of ≈Tr , respectively, to the verification of ∼B . Chapter 2 Deterministically Timed Process Algebra Abstract Concurrent and distributed systems are characterized not only by their functional behavior, but also by their quantitative features.
A Process Algebraic Approach to Software Architecture Design by Alessandro Aldini