Software Safety (SFT)

Software requires special attention in system planning, architecture, design and test.  The course now includes machine learning and related artificial intelligence (AI).  This course presents philosophies and methods of developing and analyzing software and highlights managing a software safety program.  Software design principles will be taught to create programs that are fault tolerant and acceptably safe.  Several software hazard analyses methods will be evaluated, including Fault Tree/Soft Tree, Software Sneak Analysis and Petri Nets.

Objectives: To provide an understanding of the nature of software hazards, root causes, and the methods by which these hazards may be prevented or discovered.  The course will also provide instruction in administrative methods and documentation needed to establish and manage a software safety program.  Providing evidence for a safety case or proof will also be covered.

Who Should Attend: System managers and engineers, system safety engineers and software engineers who are involved with developing systems that possess major software components and are responsible for the safety of such systems.  Attending the System Safety Engineering course and some understanding of software beforehand is highly recommended.