Contrastive Functional Analysis by Andrew Chesterman

By Andrew Chesterman

Why is a raven like a writing-desk? the idea that of similarity lies on the middle of this new ebook on contrastive research. Similarity decisions rely in part on homes of the gadgets being in comparison, and in part on what the individual judging considers to be suitable to the overview; similarity therefore has either target and subjective points. the writer exhibits how contrastive research and translation concept utilize the concept that in numerous methods, and explains the way it pertains to the frustrating notions of equivalence and tertium comparationis. The e-book then develops a meaning-based contrastive technique, and descriptions one conception of semantic constitution which are utilized in this technique. The technique is illustrated with 4 pattern reviews overlaying other kinds of phenomena in a few eu languages. the ultimate a part of the ebook proposes an extension of the theoretical framework to hide contrastive rhetoric: the purpose is to indicate a unified procedure linking elements of semantics, pragmatics and rhetoric.

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Finally, section 6 concludes the paper. 2 Related Work Significant research effort has been invested into system-level design usually starting from functional specifications. Conversely, the challenge of how to obtain the specification has not gained much attention and consequently specifications are mostly written manually. Using UML as part of SoC design methodologies has been intensively studied [8,12,20,17]. Several language conversions to translate UML models into SystemC are proposed [20], [17].

G. automatic execution of test cases on the system models) is requited. Aspect-oriented Model-Driven Engineering for Real-Time systems (AMoDERT) [4][5] has been successfully applied to design embedded and real-time systems. The engineers specify the system’s structure and behavior using UML1 models annotated with stereotype of the MARTE profile2 . In [6], AMoDE-RT was extended to include a verification activity in the specification phase, in order to enable the engineers to simulate the execution of the behavior specified in the UML model.

With the selected granularity, Algo2Spec generates the coarse-grained specification as shown in Fig. 3. It only contains three leaf behaviors, PreProc, BlkProc and MatCon in behavior Encoder_DUT (Design Under Test) together with Stimulus and Monitor consisting the testbench. After specification generation, the SLDE tools for early estimation can be used to identify allocation and mapping candidates. Fig. 5 shows the result of early estimations of both computation and communication demands on each generated leaf behavior in Fig.

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