Enhancing Developer Productivity with Code Forensics

Imagine an engineering system that could evaluate developer performance, recognize rushed check-ins, and use that data to speed up development. “Congratulations Jane. You know this code well. No check-in test gate for you.”  Anthony Voellm shares how behavioral analysis and developer assessments can be applied to improve productivity. This approach was motivated by today's test systems, tools, and processes that are all designed around the premise that “all developers are created equal.” Studies have shown developer error rates can vary widely and have a number of root causes—the mindset of the developer at the time the code was written, experience level, amount of code in a check-in, complexity of the code, and much more. With Digital Code Forensics, a set of metrics that can evaluate developers, Anthony demonstrates how even modest applications of this approach can speed up development. Discover and use the cutting edge of engineering productivity.