This session demonstrates that "Agility" and "SOA" complement each other quite well. Just because SOA is buzz-word compliant doesn't mean that you should throw good practices out the window. This session demonstrates how you can apply the principles of agility to building highly complex distributed enterprises.

Managers and ivory tower architects seem to think that all the rules that apply to "normal" software don't apply to SOA. Ironically, they matter even more. Agility and SOA are closely aligned because SOA is about building complex distributed systems and Agility is about effectively building complex software. This session unveils the pillars of successful SOA and how to achieve them in a testable, iterative fashion. It discussing testing strategies, how to make your architecture more robust and maintainable, and how to design an evolutionary architecture.

Most developers think that "TDD" stands for Test-driven Development. But it really should stand for "Test-driven Design". Rigorously using TDD makes your code much better in multiple ways.

This session demonstrates how stringent TDD improves the structure of your code. I discuss TDD as a technique for vetting consumer calls, using mock objects to understand complex interactions between collaborators, and some discussions of improved code metrics yielded by TDD. This session shows that TDD is much more than testing: it fundamentally makes your code better at multiple levels.

Regular expressions should be an integral part of every developer?s toolbox, but most don?t realize what an important topic it is. Regular expressions have existed for decades, but many developers don't understand how to take full advantage of this powerful mechanism, either through command line tools and editors or in their development.

This session shows how to fully exploit regular expressions. It begins with the basic premise of how regular expressions work, then shows how to take advantage of the RegEx library built into the Java platform. This session shows how to use wildcards, escape characters, meta-tags, character class operators, look-aheads/look-behinds, and how to use the greedy operators effectively. It covers regular expressions from the beginning through to advanced usage, both in Java and in tools that support regular expressions. This session is packed with real examples of regular expressions (including a game show with no fabulous prizes).

Key Session Points:

It turns out that ancient philosophers knew a lot about software -- did you know that Plato defined object-oriented programming? This keynote applies old lessons to new problems and old problems to new lessons. It describes why SOA is so hard, and why people in your company make bone-headed decisions. What other keynote includes Rube Goldberg, Aristotle, Dave Thomas, and Chindia?

Plato, Aristotle, Occam, Rube Goldberg, Dave Thomas, and Demeter...with pictures!

What does code + methodology have to do with one another? Everything! Agile projects focus on delivering working code, and tools exist to allow you to verify some quality metrics for your code. This session is a survey of tools and metrics that allow you to determine the quality of your code and strategies to "wire it" into your agile project.

Agile projects focus on delivering code. The responsibility for the quality of that code lies with developers. Yet most developers have a poor sense of how to gauge the quality of code, both during development and forensically. This talk lives on the boundary between what is important in agile projects and ways to verify code quality. It is both a survey of tools and metrics and strategies for proactively applying these techniques to ongoing projects. I talk about the Hawthorne effect, analysis tools (both byte and source code), useful metrics, tools for generating metrics, and how to analyze raw data into actionable tasks.

Session Topics:

• The Hawthorne Effect
• How Agility and Metrics Feed Each Other
• Analysis Tools
• FindBugs
• PMD/CPD
• Testing Metrics
• Cyclomatic Complexity
• Chidamber and Kemerer Object-oriented Metrics
• JDepend
• Code Change Risk Analyzer and Predictor for Java
• Panopticode
• Tools

You can read books about Agile projects, but you must consult real-world experience to really understand the dynamics of agile project management. This session discusses agile management topics including estimation, project tracking, and useful metrics (and how to obtain them). And just a little about Mingle, the agile project tracking tool from ThoughtWorks.

OK, sure, you can read the XP Explained book. Now what? Agile project management in the real world requires understanding of not just the practices but why they work. This talk delves into several topics relevant to agile project management, including estimation, project tracking, accurate project metrics (and the practices that make them possible). This talk is designed to describe some of the nuances required to handle real agile projects, along with a demonstration of some of the artifacts ThoughtWorks uses to track projects (the most elaborate spreadsheet you've ever seen!). And, towards the end, I show how our experience has culminated into Mingle, the agile project tracking tool from ThoughtWorks with skinnable religion.

This session describes JRuby, the 100% pure-Java implementation of the Ruby programming language. It covers the basics of programming with JRuby and examples of how to integrate it into existing Java projects.

Like hamburger & fries and turkey & dressing, JRuby allows you to harness the awesome power of Ruby in your Java projects. This session describes the origins, capabilities, and limitations of JRuby, the 100% pure-Java implementation of the Ruby programming language. This session also demonstrates some areas where it makes sense to mixin Ruby and Java code: Rails on Java, testing, and dynamic programming. JRuby is a powerful implementation of Polyglot Programming, and this session shows you how to leverage this cutting-edge concept.

Session Topics:

• JRuby's origins
• Calling Java from Ruby
• Calling Ruby from Java
• Limitations and pitfalls
• Example usage
• Rails on Java
• Testing
• Dynamic programming
• The future

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