On Wednesday 25 October 2006 00:49, Robert Lunnon wrote:
This could actually be computed for a crossection of application to give a general prediction, if you knew the frequency of use for each API call in a representative population of applications, and the completion status and criticality of all the cals in each API (or even just the % complete of the API - the problem being that the probability of a call being used isn't the same for all entry point in a given API) - By the way, in general this is called FMECA - Failure Modes, Effects and Criticality analysis - look up this topic for further ideas.
It'd make a nice University student project.
IIRC, David Gümbel's company ITOMIG [1] makes this kind of assesments, based on technology developed during David's diploma thesis [2]. Unfortunately the thesis is in German and the only whitepaper I found is German as well. Still, David might be available for some suggestions, he should be reading this list. (Also, Stefan should be able to read it ;) ) Cheers, Kai [1] http://www.itomig.de/ [2] http://www.itomig.de/uploads/media/Diplomarbeit_ganymede_ITOMIG.pdf -- Kai Blin, <kai Dot blin At gmail Dot com> WorldForge developer http://www.worldforge.org/ Wine developer http://wiki.winehq.org/KaiBlin/ -- Will code for cotton.