Wednesday, February 28, 2007

 

new donations from SourceKibitzer

Great news moles, we have a new donation partner: Source Kibitzer.

The facts:
--In our system, SourceKibitzer is forge #6, and has the abbreviation "SK".
--SK will be part of the monthly data cycle, so expect new SK files once per month (just like Freshmeat, Rubyforge, Objectweb, and Free Software Fndn.)
--SK files are available on our file releases page on Sourceforge.

The first file we released from SourceKibitzer is for February, 2007. For each of some 500-odd projects, it includes:

project name
density of comments
todo count
commented lines of code
total lines of code
non-comment lines of code
non-commenting source statements
number of methods
sum of data abstraction coupling
boolean expression complexity
fanout
npath complexity
weighted method count

Some very interesting stuff! Get the SourceKibitzer February data.

Tuesday, February 06, 2007

 

February Data Released for All Forges

Hi moles!

We've been digging as usual, and we now announce that February data is released for all 5(!) forges. This includes:

forge (abbreviation) - datasource_id
=====================================
Sourceforge (SF) - 46
Freshmeat (FM) - 47
Rubyforge (RF) - 48
Objectweb (OW) - 49
Free Software Foundation (FSF) - 50

Get the files at our Sourceforge Project Page

Sunday, February 04, 2007

 

FLOSSmole mentioned in Information Week

FLOSSmole gets mentioned in a nice little article in a US trade magazine called Information Week. The article is about how to differentiate open source "winners and losers". With a proper shout out to Open BRR and the Business Readiness Rating, which is more like what the article is really about, here is the excerpt:

How To Tell The Open Source Winners From The Losers
By Charles Babcock
InformationWeek
Feb 3, 2007

(this excerpt is from page 2):

The Business Readiness Rating service is collecting public feedback on its proposal for evaluating open source code. Eventually, says [Tony] Wasserman [of Carnegie Mellon West], it will host automated software tools that harvest statistics from open source project sites that help predict their likelihood of success: the number of developers and core developers, frequency of releases, support queries and unanswered queries, and the number of bugs tracked versus fixed. Those metrics will then be used in a decision-making framework to sort through open source projects. Some automated evaluation tools already exist. They include FLOSSmole (the Free/Libre Open Source Software Mole), which automatically burrows into data on an open source project site such as page views, downloads, bandwidth consumed by downloading, and number of comments posted.

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