2008 East
DIAMOND SPONSOR:
Data Direct
Frontiers in Data Access: The Coming Wave in Data Services
PLATINUM SPONSORS:
Red Hat
The Opening of Virtualization
Intel
Virtualization – Path to Predictive Enterprise
Green Hills
IT Security in a Hostile World
JBoss / freedom oss
Practical SOA Approach
GOLD SPONSORS:
Software AG
The Art & Science of SOA: How Governance Enables Adoption
PlateSpin
Effective Planning for Virtual Infrastructure Growth
Fujitsu
Automated Business Process Discovery & Virtualization Service
Ceedo
Workspace Virtualization
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Event Webcasts

2008 East
PLATINUM SPONSORS:
Appcelerator
Think Fast: Accelerate AJAX Development with Appcelerator
GOLD SPONSORS:
DreamFace Interactive
The Ultimate Framework for Creating Personalized Web 2.0 Mashups
ICEsoft
AJAX and Social Computing for the Enterprise
Kaazing
Enterprise Comet: Real–Time, Real–Time, or Real–Time Web 2.0?
Nexaweb
Now Playing: Desktop Apps in the Browser!
Sun
jMaki as an AJAX Mashup Framework
POWER PANELS:
The Business Value
of RIAs
What Lies Beyond AJAX?
KEYNOTES:
Douglas Crockford
Can We Fix the Web?
Anthony Franco
2008: The Year of the RIA
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Application Factories – An Application-Driven Development Methodology
How to capture and share knowledge

What's the key to team and individual developer productivity in maintaining and extending a large application? Let's start by making the following assertions:

  • A developer's knowledge of an application code base is likely the single biggest factor of individual productivity.
  • Correspondingly, the team's collective knowledge of an application code base is the single biggest factor of team productivity.

Reflecting on it a bit, it doesn't take a rocket scientist to test the validity of these statements. Any real-world, modestly capable application runs to tens of thousands of lines of code, has more than a handful of developers, and is developed over months if not years.

Pondering the reasons for a team's productivity or lack thereof, you will likely come up with a number of answers: knowledge of the APIs, libraries, frameworks, and programming language; knowledge of the application domain, effective tools, development processes, continuous builds, unit tests, and so on.

But, over and above all of this, individual productivity is directly proportional to knowledge of the code base and the team's productivity is directly proportional to the team's collective knowledge of the code base.

Productivity's dependence on code base knowledge grows rapidly as the code base grows larger, teams become bigger, and the code ages.

The collective knowledge of the code base is a critical factor, and hence should be considered a critical asset.

Today, a team's "collective knowledge" is not really collective because critical pieces of information may reside with only one or two individuals for a specific feature area. Today's productivity concerns are due to the pain involved in individuals needing to come up to speed on some part of the application where there is limited understanding. Even modest employee turnover can open up critical gaps and affect the team's ability to maintain or extend an application. In this sense, lower productivity means more than just taking an extra day or two to complete a task.

The Application Factories' vision addresses this missing link in the development productivity tool chain.

About Ravi Kumar
Ravi Kumar is principal architect in the Java tools group at Embarcadero Technologies and is responsible for the vision and architecture of Eclipse-based JBuilder product line. He is the driving force behind many key innovations. Of late, he has set forth to offer a compelling new vision of software architecture and development called Application Factories. In addition to his role as the architect, Ravi specializes in SOA, Web Services and Database tooling.

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