Cross-factor analysis of software modeling practices versus practitioner demographics in the embedded software industry

Software-intensive embedded systems have evolved to be essential tools of our lives. To cope with growing complexities in embedded software industry, software modeling and model-driven engineering (MDE) have become popular for design, development and testing of these systems. However, the usage of models in embedded software industry and the relevant practices usually vary since challenges, requirements and purposes differ among systems as well as among sectors. To understand the state-of-the-practice of software modeling in embedded systems industry, we designed and conducted a world-wide survey, which accepted 627 responses from 27 different countries. The goal of this paper is to present our work built on this survey to better understand and characterize the cross-factor analysis of software modeling versus practitioner demographics, e.g., degree of using software modeling versus target sectors of the products

FAILSAFE Health Management for Embedded Systems

The FAILSAFE project is developing concepts and prototype implementations for software health management in mission- critical, real-time embedded systems. The project unites features of the industry-standard ARINC 653 Avionics Application Software Standard Interface and JPL s Mission Data System (MDS) technology (see figure). The ARINC 653 standard establishes requirements for the services provided by partitioned, real-time operating systems. The MDS technology provides a state analysis method, canonical architecture, and software framework that facilitates the design and implementation of software-intensive complex systems. The MDS technology has been used to provide the health management function for an ARINC 653 application implementation. In particular, the focus is on showing how this combination enables reasoning about, and recovering from, application software problems

Algorithmic considerations of integrated design for CSI on a hypercube architecture

An approach is presented to the integrated design problem for actively controlled large, flexible mechanical systems for which Control Structure Interaction (CSI) problems are of concern. The two coupled design problems were identified as the optimal Structural Design problem the optimal Controller Design problem. These two problems can be addressed within a decision making loop that would consider each separately, and then sequentially analyze the effects of one on the other. Embedded in such a loop would be the simulation and coordination tasks as part of the decision tools required in a total (software) package. All of the above are compute-intensive tasks. In any such task, possible decompositions and gains due to the inherent parallelism have to be exploited. The problems under consideration, as applied to large flexible mechanical structures, are particularly suited to be mapped onto multicomputer systems in a hypercube topology

MARTE based design flow for Partially Reconfigurable Systems-on-Chips

International audienceSystems-on-Chip (SoCs) are considered an integral solution for designing embedded systems, for targeting complex intensive parallel computation applications. As advances in SoC technology permit integration of increasing number of hardware resources on a single chip, the targeted application domains such as software-defined radio are become increasingly sophisticated. The fallout of this complexity is that the system design, particularly software design, does not evolve at the same pace as that of hardware leading to a significant productivity gap. Adaptivity and reconfigurability are also critical issues for SoCs which must be able to cope with end user environment and requirements