Benchmarks on automated system and software generation higher flexibility increased productivity and shorter time-to-market by ScaPable software

Computer Science – Performance

Scientific paper

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Space Research: Computing, Software

Scientific paper

"ScaPable" is an acronym derived from "scalable" and "portable". The attribute "scalable" indicates that specific application software can automatically be built from scratch and verified without writing any statement in a programming language like C, thereby covering a large variety of embedded and/or distributed applications. The term "portable" addresses the capability to automatically port parts of such an application from one physical node to another one - the processor and operating system type may change - only requiring the names of the nodes, their processor type and operating system. This way the infrastructure of an embedded / distributed system can be built just by provision of literals and figures which define the system interaction, communication, topology and performance. Moreover, dedicated application software like needed for on-board command handling, data acquisition and processing, and telemetry handling can be built from generic templates. The generation time range from less than one second up to about twenty minutes on a PC/Linux platform (800 MHz). By this extremely short generation time risks can be identified early because the executable application is immediately available for validation. A rough estimation shows that one hour of automated system and software generation is equivalent to about 5 .. 50 man years. Currently, about 50% of a typical space embedded system can be covered by the available automated approach. However, the more it is applied, the more can be covered by automation. A system is constructed by applying a formal transformation to the few information as delivered by the user. This approach is not limited to the space domain, although the first industrial application was a space project. Quite different domains can take advantage of such principles of system construction. This paper explains the approach, compares it with other approaches, and provides figures on productivity, duration of system generation and reliability.

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