Dr. Venkat Subramaniam is an award-winning author, founder of Agile Developer, Inc., and an instructional professor at the University of Houston.
He has trained and mentored thousands of software developers in the US, Canada, Europe, and Asia, and is a regularly-invited speaker at several international conferences. Venkat helps his clients effectively apply and succeed with sustainable agile practices on their software projects.
Venkat is a (co)author of multiple technical books, including the 2007 Jolt Productivity award winning book Practices of an Agile Developer. You can find a list of his books at <https://www.agiledeveloper.com>.
We rely heavily on polymorphism when programming with the object-oriented paradigm. That has served us really well, especially to create extensible code. However, like any tool and technique, there are times when that may not be the right choice. Java now provides an alternative that is useful in those select situations—the data-oriented programming. In this presentation we will start with an example where the highly useful object hierarchy and polymorphism appears as a misfit and discuss how data-oriented programming solves the problem more elegantly. Get a good understanding of when to use each one of these and how to intermix them in your applications.
Software vulnerability is a huge concern. What's lurking in code is a question that keeps passionate programmers up at night. Is there a memory leak, what about a race condition, oh what about security issues, are we violating purity of functions when we're not supposed to? We have to maintain code that others have written and it's not always easy and quick to detect those defects ticking away in the code. In this presentation we will use AI based tools to detect issues in code, using multiple examples, and apply automated fixes and will reason about our approach and the change.
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