Announcing the Metric Fu Google Group

I really should have done this a long time ago, but you know how it goes.

Anyway, if you're using metric_fu and have a question or want to discuss it's direction/development you can now here:

http://groups.google.com/group/metric_fu

There's some big changes on the horizon for metric_fu -- If you want to get a preview, head over to github and take a look at the to_yaml branch of metric_fu. I've been pulling in Grant McInnes changes to be able to serialize the output of all the metrics. This means that there will be a yaml file created after each run which can be used by other projects. A number of people have asked for this feature so they can do analysis of their metric data.

However, this will probably break some uses of MetricFu as it is an almost complete re-write. What's cool about this branch (besides the output) is that almost nothing is in rakefiles anymore and so is more easily testable. If you use metric_fu and have an opinion on this, or anything else, join the group and make yourself heard.

Comments

Post a Comment

Popular posts from this blog

What's a Good Flog Score?

I've been using Flog to measure the complexity of my Ruby code and I was wondering how others interpret Flog numbers. I'll go first with my opinions: Score of Means 0-10 Awesome 11-20 Good enough 21-40 Might need refactoring 41-60 Possible to justify 61-100 Danger 100-200 Whoop, whoop, whoop 200 + Someone please think of the children (note: these are scores for an individual method) The 20 - 60 range is interesting to me. Sometimes the complexity of what you're doing will justify the score and other times the method is in desperate need of refactoring. The highest Flog score I've seen in the wild was in the 300's. What's you're personal high and what do you think of my rankings? In other news, I've redesigned the look of my blog so if you only see my post through a reader you might want to stop on by, take a look, and tell me what you think.
Read more

SICP Wasn’t Written for You

The number of software luminaries who sing the praises of “ Structure and Interpretation of Computer Programs ” (referred to as SICP) is such a long list that you might think only a crazy person would take issue with it. However, to ignore SICP’s problems and continue to blindly recommend it seems just as crazy. SICP was the textbook for MIT’s introductory programming class and was a bit of a departure from other into to computer science textbooks at the time.  Wikipedia sums it up nicely:  “Before SICP, the introductory courses were almost always filled with learning the details of some programming language, while SICP focuses on finding general patterns from specific problems and building software tools that embody each pattern.”  Which sounds awesome, but does essentially say that abstract principles will be introduced before the nuts and bolts of a language.  If you think about that for a minute, you may see where the problems will be. When I was training to be a...
Read more

Point Inside a Polygon in Ruby

Recently my team needed to find out if a point was inside a given polygon and, as usual, we found some code on the internet that did what we wanted. And, as usual, there wasn't much explanation as to what it was doing. Here's the code (after we converted it to Ruby): 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 def contains_point? (point) c = false i = -1 j = self .size - 1 while (i += 1 ) < self .size if (( self [i].y <= point.y && point.y < self [j].y) || ( self [j].y <= point.y && point.y < self [i].y)) if (point.x < ( self [j].x - self [i].x) * (point.y - self [i].y) / ( self [j].y - self [i].y) + self [i].x) c = !c end end j = i end return c end end So, you know, it works and I'm grateful to somebody for posting it but we had no idea how it works. So we wrapped 2 tests around it (one where the point is not in the polygon and another where it is...
Read more