Neal Ford

By Neal Ford

Judicious use of metrics improves the quality of your code. But interpreting metrics presents a challenge. You have a list of numbers for a project - what does it mean? And what does it tell me about the health of the project overall? This sessions shows how to produce visualizations for software metrics, making them easier to understand and more valuable. It covers metrics at the individual method level all the way up to the overall architecture of the application. This isn't just a talk about how some tools produce visualizations: this session shows you how to generate your own visualizations, allowing you to customize it to the level in information density that shows real value on your project. I show how to produce projected graphs from dependencies, heat-maps for cyclomatic complexity and code coverage, using XSLT to extract visual information from XML configuration documents, and others. Metrics can't help you if you can't understand them. By creating visualizations, it helps leverage metrics to make your code better.

Judicious use of metrics improves the quality of your code. But interpreting metrics presents a challenge. You have a list of numbers for a project - what does it mean? And what does it tell me about the health of the project overall? This sessions shows how to produce visualizations for software metrics, making them easier to understand and more valuable. It covers metrics at the individual method level all the way up to the overall architecture of the application. This isn't just a talk about how some tools produce visualizations: this session shows you how to generate your own visualizations, allowing you to customize it to the level in information density that shows real value on your project. I show how to produce projected graphs from dependencies, heat-maps for cyclomatic complexity and code coverage, using XSLT to extract visual information from XML configuration documents, and others. Metrics can't help you if you can't understand them. By creating visualizations, it helps leverage metrics to make your code better.

By Neal Ford

Ruby is the revenge of the Smalltalkers. Not since Smalltalk has a language had such powerful meta-programming facilities. While this may seem like a minor feature, it turns out that surgical meta-programming allows solutions to problems that are clearer, more concise, more maintainable, and take orders of magnitudes fewer lines of code.

This session shows one of the reasons that JRuby is the most powerful mainstream language today: meta-programming. It shows tons of meta-programming techniques in Ruby, including open classes, the shadow meta-class, defining methods, method_ & const_missing, dynamically adding and removing mixins, and more. And each of these comes with an example that actually makes sense!

Session Topics

• Modules
• Structs
• Freezing
• Messages and Dynamic Invocation
• The Shadow Meta-class
• Code as Objects
• Delegation
• Open Classes
• Aspects
• Missing!
• Const
• Method
• Reflection
• Mixology

By Neal Ford

It's one thing to hear about ping-pong pair programming, test-driven development, and other agile practices, but in this session you get to try them out.

BRING YOUR LAPTOP WITH YOU, BUT A LAPTOP ISN'T REQUIRED! Reading and hearing about agile practices is one thing, but actually doing it is completely different. This session puts you to work in an agile fashion, applying agile developer practices. During this session, we're going to take a problem and iteratively develop the solution, using test-driven development, pair programming, retrospectives, pair rotation, and other agile development techniques. We work through 3 20-minute iterations during the 90 minutes, giving you a hands-on feel for real agile development. If you have a laptop, bring it, but only half the class needs one, so if you don't have a laptop, don't let it discourage you. Come see what it's like to work on a real agile project, even if it's just 90 minutes.

By Neal Ford

In The Productive Programmer, I identify 4 principles of productivity: acceleration, focus, automation, and canonicality. This session defines the principles and describes their use, but the primary focus of this talk is on real-world examples of how you can use these principles to make yourself a more productive programmer.

In The Productive Programmer, I identify 4 principles of productivity: acceleration, focus, automation, and canonicality. This session defines the principles and describes their use, but the primary focus of this talk is on real-world examples of how you can use these principles to make yourself a more productive programmer. Acceleration covers ways to speed up development by taking command of your computer. This includes keyboard shortcuts (including ways to learn them and make better use of them) in both IntelliJ and Eclipse. Focus describes how you can utilize your environment (both physical and computer) to greatly enhance your productivity. Canonicality (the DRY principle from The Pragmatic Programmer) discourages repeating artifacts in projects. This talk shows effective ways to avoid this repetition. I show examples of creating DRY documentation, O/R mapping, database schemas, and development environments.Automation refers to making the computer do more work for you. This talk includes tons of examples, all culled from real-world projects