ALM 2.0 – Adopting Open Source Collaboration to Develop Better Software, Faster

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Excerpt

This presentation explains how to take advantage of open source collaborative best practices to effectively work across distributed development teams.

Description

Corporate software development organizations have long sought to connect development tools that support individual development life-cycle activities like requirements management, project management, coding, SCM, testing, and build and release management. This challenge has prevented developers from effectively collaborating, enforcing processes, tracing artifact relationships, and gathering meaningful metrics across the full development life cycle.

Now, a new generation of tools is driving ALM 2.0. This presentation explains how to take advantage of open source collaborative best practices to effectively work across distributed development teams. ALM 2.0 tools, dynamics, and processes needed to ensure rapid internal adoption and ROI will also be discussed.

Speaking experience

Speaker

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    Jack Repenning

    CollabNet

    Biography

    Jack Repenning is Chief Technology Officer at CollabNet. Jack joined CollabNet in 2002; as chief product architect he was primarily responsible for building the product architecture that enabled CollabNet to grow its user base to well over one million users. Jack is also an early member of the wildly successful Subversion open source project, a version control system that is widely viewed as the de facto new industry standard. Consistently engaged in developer productivity topics, Jack has participated in open source software projects since the early 1980’s. Prior to joining CollabNet, Jack worked at well-known Silicon Valley companies such as Hewlett Packard, SGI, Informix, and Rational where he developed expertise in a wide range of technical areas, ranging from inside the kernel to GUI and database design, as well as data center deployment architecture.

    Jack holds degrees in Electrical Engineering and Information and Computer Science from the University of California, Irvine.