Requirements engineering has become inescapable for industrial projects. But in every day life, project actors (acquirers, systems engineers, software engineers, information system analysts, domain experts, etc.) are ...
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Requirements engineering has become inescapable for industrial projects. But in every day life, project actors (acquirers, systems engineers, software engineers, information system analysts, domain experts, etc.) are facing multiple constraints: to meet project or company goals (quality, delays, costs), to define and balance requirements from various stakeholders, to use dedicated tools, to create traceability. And one of the key remaining questions is still: how to implement requirements engineering in the most efficient way? Various methods, techniques and tools have been tried out, adopted and optimized, good and bad experiences have been analyzed, know how has been gathered: industry has now developed a number of best requirements engineering practices. But does everyone have the same best practices? Do we need the same approach to elicit requirements, document, negotiate, validate, formalize or trace requirements when you integrate an ERP, when you develop a car, an air traffic controlsystem, an aircraft or a satellite, or when you study the ergonomics of a mobile phone? this paper gathers experienced requirements engineers from various industries, to try learn a few new lessons on the adequacy of various best practices to various industrial sectors.
Architecture performance evaluation is a key part in system design. It can be seen as the backbone of architecture analysis and design space exploration. In this paper we present a comparison of system modeling and cy...
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Architecture performance evaluation is a key part in system design. It can be seen as the backbone of architecture analysis and design space exploration. In this paper we present a comparison of system modeling and cycle true simulation. Our work is based on the evaluation of a system model of a design example from the agricultural domain next to the results of an instruction set simulation.
RISC architecture plays a major role in recent embedded systems design. the notorious drawback of a RISC machine is its poor code density. Many research works have been proposed to reduce the code density. However, th...
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ISBN:
(纸本)0780365984
RISC architecture plays a major role in recent embedded systems design. the notorious drawback of a RISC machine is its poor code density. Many research works have been proposed to reduce the code density. However, they either need a sophisticated compression-decompression mechanism, or are suitable for specific applications. In this paper, a method to compress a post-compilation program is proposed to improve code density while introducing minimal hardware overhead. the salient features of our technique are: (1) the decompression circuitry depends only on the instruction set of a processor and so is reusable for any application running on the same processor; and (2) there is no limitation on the size of the program to be compressed. We demonstrate our technique on SPEC CINT95 benchmark programs using the ARM7TDMI instruction set and achieve an average code size reduction of 19.8%.
this conference proceedings contains 63 papers depicting the state-of-the-art in the rapidly growing area of distributed computing. Topics discussed include distributed file systems, development tools for distributed ...
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ISBN:
(纸本)0818637706
this conference proceedings contains 63 papers depicting the state-of-the-art in the rapidly growing area of distributed computing. Topics discussed include distributed file systems, development tools for distributed systems, distributed systemtheory, distributed system architecture, distributed directory services, protocol engineering, control protocols for distributed databases, computer supported cooperative work, fault tolerance, distributed shared memory, distributed system services, distributed system performance studies, high speed networks, scalability in distributed systems, distributed algorithms, mobile distributed systems, distributed programming languages, distributed real time systems, heterogeneous and multidatabase systems, analytical modeling of distributed systems, replicated objects in distributed systems, intelligent scheduling for distributed systems, and group communication protocols.
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