On RJBS's automatic version numbering scheme
Everytime I browse through CPAN recent uploads, and see versions of modules with RJBS's automatic numbering scheme, like 2.100920 or 1.091200 I tend to read it as 2.(noise) and 1.(more noise).
The problem is that it doesn't look like a date at all (is there any country or region using day of year in their date??). I've never been bothered enough with this though, as I don't use this scheme myself, but have always had a suspicion that this obfuscation is deliberate for some deep reason.
Turns out that it's just a matter of space saving and floating point issue. I'm not convinced though, is x.100513n (YYMMDD, 6 digits + 1 digit serial = 7 digits) really that much longer than x.10133n (YYDDD, 5 digits + 1 digit serial = 6 digits)? Is there a modern platform where Perl's numbers are represented with 32-bit single precision floating point (only 7 decimal digit precision) where it will present a problem when n becomes 2 digit using YYMMDD scheme?
Based on past experiences, since it is unlikely that I will do more than 20 releases in one month (usually even only once or twice a month or less frequently), if I were to adopt a date-based automatic versioning policy, perhaps I'll pick x.YYMMn where n is omitted for the first release of that month, and then 1..9, and then 91..99 (and then 991..999 and so on). This way, most releases have the shortest number of digits. I don't "incur cost" for the first few releases (which anyway will be all there is, most of the time).
In fact, I bet most modules have only a few releases per year. So how about this scheme, x.YYn:
1.10 - first release of the year
1.101 - second
1.102 - third
1.109 - tenth
1.1091 - eleventh
1.1092 - 12th
1.1099 - 19th
1.10991 - 20th
Or how about x.Dn (releases per decade) or even x.Cn (releases per century)? :-)
My brain prefers that I don't use long version numbers. Except when the version number is long because of some date (e.g. to indicate freshness of release). But why torture ourselves with a date that we need several seconds to parse in our head?
So I'll stick with 0.01, 0.02, 0.03, ... for now.