Documentation Coverage Testing With dcov
How often have you thrown up your hands in disgust at the poor quality of documentation for an open source project? Wouldn’t it be nice if someone put together a documentation coverage tool that worked like test coverage too ls? Well, you’re in luck—dcov is here (at least for Ruby code).
dcov is still pretty immature (the current release is called ‘Young and Feeble’), but it’ showing a lot of promise. It’s already capable of verifying that each module, class, and method of your code is documented. The upcoming release adds coverage checking for each parameter to a method (and other goodies, see below).
One of the biggest problems with writing generic documentation coverage tools is that there is a real lack of standards for documentation. Jeremy MacAnally, the author of dcov, is trying to build some consensus on this. Take a look at his blog post on the topic. (Feel free to toss in your own two cents while you’re there.)
In the upcoming release, dcov provides a mechanism for writing your own analyzer—it’s still rough, but it looks a lot like an RSpec specification. Here’s the way Jeremy’s implemented parameter checking using the new mechanism:
documentation_for_methods do |the_documentation| the_documentation.must "document all parameters." do param_names_for(the_documentation.token).each do |param| the_documentation.token.reporting_data[:parameters_without_coverage] < ;< param unless the_documentation.token.comment.include?("") end if the_documentation.token.params end end
With this new feature, it should be easy to adapt dcov to whatever documentation standards exist within your own organization.
-- -pate http://on-ruby.blogspot.com
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
Free to Linux Journal readers.Register Now!
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- SUSE LLC's SUSE Manager
- My +1 Sword of Productivity
- Non-Linux FOSS: Caffeine!
- Managing Linux Using Puppet
- Tech Tip: Really Simple HTTP Server with Python
- Parsing an RSS News Feed with a Bash Script
- Google's SwiftShader Released
- SuperTuxKart 0.9.2 Released
- Doing for User Space What We Did for Kernel Space
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide