Jesper Boeg on Priming Kanban
In this interview, Jesper Boeg, author of the new InfoQ book – Priming Kanban, discusses the keys to using Kanban effectively, and how to get started if you are currently using other approaches.
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Posted by Sebastien Auvray on Sep 12, 2009
Code quality is one of the bricks of software quality. While tools for the mainstream languages such as Java and C++ have reached a certain maturity, tools for Ruby are still growing. And they might be needed more and more as Ruby's usage spreads from early adopters to the early majority, and SLOC (Source Lines Of Code) continues to rise. Automatic tools can be used to detect several types of problems including inconsistent style, long methods and repeated code.
Steve Hayes gave a presentation entitled "Code Quality For Java And Ruby" at the Agile2009 Conference held in Chicago, which gives InfoQ a good opportunity to review the tools available in the Ruby world:
Using all these tools can quickly become a pain, that's when metric_fu comes to the rescue. It includes all the mentioned tools (except Simian), and can easily generate a report about your application. It integrates easily with Rails and generates graphs over time.

Graph from Jakes Scruggs
You can follow Assaf Arkin's Guide to setting up Hudson for a Rails project with metric_fu support.
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Railscast #166 had Ryan Bates talking about metric_fu: railscasts.com/episodes/166-metric-fu
You might also be interested in excellent, a gem that combines many of the checks the above analysers provide and adds some checks that are specific to Ruby on Rails applications:
simplabs.github.com/excellent/
Hi Marco & Seam,
Thank you both for your links.
Marco, I also found out afterward this one for Rails: github.com/felipegiotto/Inotegration
Regarding dupplication, I wrote a gem which generate reports (HTML, Textmate, Netbeans, etc …) of identical duplicate lines, backed by java tool Simian.
wiki.github.com/garnierjm/dont_repeat_yourself
In this interview, Jesper Boeg, author of the new InfoQ book – Priming Kanban, discusses the keys to using Kanban effectively, and how to get started if you are currently using other approaches.
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
Kevlin Henney examines code samples to see what can be learned from them starting from the premise that one won’t write great code unless he knows how to read it.
Jason Ayers share the observations he made watching a team of developers collaborating in real time on the same code base, pushing XP, pair programming and continuous integration to their extremes.
Michael Snoyman presents Yesod, a web framework written in Haskell and containing a web server, templating, ORM, libraries (templating, gravatar, etc.).
Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.
One category of risk that project teams need to ensure they address is business value failure – delivering a product that fails to provide value for the business investor.
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