Moving Up The Rings
Many things have rings: mobile phones have incredibly annoying ones, jewelers have incredibly expensive ones, and Hell — at least according to Dante — has incredibly detailed ones. For the past three years, thanks to a government contractor called Coverity, Open Source has rung as well.
Coverity began contracting with the Federal Government in 2006, after the Department of Homeland Security began to wonder about the quality of the Open Source offerings being used by fellow feds. The company builds code-analyzing tools aimed at finding vulnerabilities and other hiccups in the programming process, and thanks to the government's inquisitive nature, those tools have been turned on Open Source for the past three years.
The company's system is unlike the more traditional find, report, and fix approach where developers and users running the applications identify problem areas as they present themselves and correct as necessary. Coverity uses static analysis, which performs its review without running the software. The method doesn't identify certain types of issues, as Forrester Research's Jeffrey Hammond pointed out to IDG News: "Static analysis [tools] won't tell you that your business process is working correctly...but they will tell you that the code itself is technically solid."
According to Hammond, static analysis looks primarily for poor programming — "structural 'anti-patterns' in code" — identifying "more exotic" issues including parallel code execution, as well as more common problems like buffer overflows and memory leaks. The process identifies whether code "follows the kind of programming best practices you'd expect to see from code that has gone through a proper code review."
The analysis process, which relies on voluntary submission of code for review, uses a rung system to classify how far the project has progressed in correcting the problems discovered in during analysis. Coverity has assigned four projects — OpenPAM, Ruby, Samba, and tor — to Rung 3, the final step on the bug-squashing ladder.
Coverity reports that 280 projects have submitted code for review, representing over sixty million lines of code. More than 11,200 bugs have been eliminated, with coders from some 180 projects working to scan submitted code. The program has dramatically decreased what Coverity calls "defect density," down sixteen percent in three years.
Justin Ryan is a Contributing Editor for Linux Journal.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- New Products
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Designing Electronics with Linux
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



8 hours 4 min ago
18 hours 44 min ago
1 day 30 min ago
1 day 48 min ago
1 day 2 hours ago
1 day 4 hours ago
1 day 11 hours ago
1 day 11 hours ago
1 day 13 hours ago
1 day 19 hours ago