Effective Reduction of Avoidable Complexity in Embedded Systems
Software Engineering Institute (SEI) Podcast Series · Carnegie Mellon University Software Engineering Institute
March 18, 201618m 32s
Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Safety-critical systems are becoming extremely software-reliant. Software complexity can increase total acquisition costs as much as 16 percent. The Effective Reduction of Avoidable Complexity in Embedded Systems (ERACES) project aims to identify and remove complexity in software models. At the same time, safety-critical development is shifting from traditional programming (e.g., Ada, C) to modeling languages (e.g., Simulink, SCADE). In this podcast, Julien Delange discusses the Effective Reduction of Avoidable Complexity in Embedded Systems (ERACES) project, which aims to identify and remove complexity in software models. Listen on Apple Podcasts.