A 2011 survey of embedded systems developers reveals detailed information on
embedded developers' tools and work environment, applications targeted, methods
and processes used, operating systems used, brands and chips used and being
considered for adoption, issues being confronted and demographics. Many
questions in this survey have been trended over five years, resulting in a rich
dataset that represents respondents from across the embedded industry and provides
a deep analysis to track key changes in the electronics industry.
The raw data for this study is also available for
$450.00 USD; it provides online access to the application and the SPSS data map
(on request) which was used to compile all the results. With a subscription to
EE Times Confidential, a 30 percent discount will be applied to the Embedded
Study or the raw data.
With every hacker/maker I know working with more fringe languages like Python, Ruby, and the like, I am shocked that plain old "C" is still at the top of the list. Also, it's nice to see assembly at #3. Assembly is my forte, I'm surprised I never found a job writing it in the past. I am also annoyed that all my past jobs had me learn some sort of esoteric language at their whim, to look like a leading edge company, when the entire industry is still working in C.
Such is the times, I suppose. Everyone is hustling.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.