Asked by Bjorn Gustavsson
on 8 Feb 2011

The situation is this: I've written and maintained a toolbox for image data analysis over a ~10 year period. During this time matlab has gone through a number of versions, and I've made the modifications to keep my program running in "my current MATLAB". Initially there were not (m)any other users, but now there is a slowly growing number of users. Then there is problems when they are using older versions of MATLAB, sometimes even releases that I for one reason or the other skipped. Now with 20-20 hindsight, I realize that I should've kept the tools backwards compatible as I went ahead, but that was often not done...

Now to the question: Is there anyone that has "solved" this problem, that is developed practices, routines, or even tools to make the backwardcompatibilization? Is there any advice or tips to ease this, or will I be forced into a messy-n-massive coding slog?

Answer by Jan Simon
on 9 Feb 2011

Accepted answer

I'm programming for Matlab 6.5 and 2009a. I avoid the new features for backward compatibility: No Java, UITABLE, TREEVIEW, ACCUMARRAY, BSXFUN, REGEXP('split'), OO, ... But there are a lot of futher unexpected incompatibilities: PLOT replies line handles in Matab 6.5, but lineseries handles in 2009a. DATENUM('7:30') uses the current date in 2009a, but 00-Jan-0000 in 6.5. This list could be continued until tomorrow. Therefore I'm sure, that an automatic tool might find some obvious incompatibilites, but this will never be exhaustive or even reliable.

I've created some backported function to support new standard functions: ANCESTOR, an efficient ISFIELD, TYPECAST, BSXFUN, COMMANDWINDOW, ... Some of these functions can be found in the FEX - others seem to have the same needs...

Unit-testing would be a good idea: Install your program on a specific Matlab version and test it exhaustively. If no error occurs, there is a good chance, that your program is compatible with the specific Matlab version.

Bjorn Gustavsson
on 9 Feb 2011

That we could continue compiling the list till the sun rises next week is just the problem. The prime example I got to face was the usage of || and &&, a user group was using an older version of matlab that did not support those so we had to strip off all those. In a package with 500 files that becomes tiresome. Even if an automatic "reversionizer" would only make a good fraction of the fixes needed (unreliably even) it would give a good head start, at least pointing out stuff that's likely to need attention. Unit testing is of course the organized way to find out what needs to be fixed.

An idea that just struc is that since it is be possible to use mlint to get pointers to error it would be realy nice if mlint had a setting/keyword for 'matlab-version'.

Jan Simon
on 9 Feb 2011

However, if I try to compile modern C-code with a C89 compiler, incompatibilities will occur also. Matlab has a good inter-release-compatibility, but for a really trustworthy and reliable program you have to limit the usage to a single Matlab release.

This is the cause for letting me ask for a long-term-supported release whenever I find a chance to.

Answer by Patrick Kalita
on 8 Feb 2011

This answer is about the mechanics of how to check the MATLAB version from your code. Maybe your question was more broad than that, but in case you weren't aware of them there are a few functions which you might find useful. I think the best option is the verLessThan function. From its help section:

if verLessThan('matlab', '7.0.1') % Put code to run under MATLAB older than MATLAB 7.0.1 here else % Put code to run under MATLAB 7.0.1 and newer here end

The `verLessThan` function itself was introduced in MATLAB R2007a. Anyone using a version older than that can download a copy of it from this solution.

You can also use the ver command and do your own string comparisons with the values in the structure it returns:

>> V = ver('MATLAB')

V =

Name: 'MATLAB' Version: '7.11' Release: '(R2010b)' Date: '03-Aug-2010'

>>

That will involve a little more work on your part, but it does give you a little more flexibility (you could do a switch-case statment to discriminate between many versions) and this syntax will work going back to at least MATLAB R13sp2.

Bjorn Gustavsson
on 8 Feb 2011

Jan Simon
on 9 Feb 2011

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