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Five reasons why Scrum is not helping in getting twice the work done in half the time

Scrum.org

I worked as a product owner for my first product in 2007–08 to manage the insurance lifecycle for a major insurance company in America. They got the idea of increasing the complexity of dependency management and longer lead time due to the handoffs having individual accountability. Bad technical practices.

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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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5 Agile Methodologies for Project Managers that are not Scrum Framework

Project Pulse Journal

Understanding these top five Agile methodologies that are not Scrum Framework: Kanban, Extreme Programming (XP), Lean Software Development, Feature-Driven Development (FDD), and Dynamic Systems Development Method (DSDM) is crucial for any team or individual looking to implement Agile practices effectively.

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Thinking By Sprinting: What Cognitive Science Tells Us About Why Scrum Works

Scrum.org

A while ago, I received an interesting scientific article from Gunther Verheyen titled “Getting Things Done: The Science Behind Stress-Free Productivity” (Heylighen & Vidal, 2007). Developing a new product requires understanding of the users, of the technologies involved and what makes something valuable (or not).

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Assume a Spherical Cow

Leading Agile

The impression was reinforced strongly when I attempted to bridge the divide by participating in the academic tracks of agile and technical conferences in the 2007-2008 time frame. I told them that practitioners wouldn’t bother using TDD if they hadn’t experienced benefits like that one. In the dirty, smelly field.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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A Compendium of Risk Management Resources

Herding Cats

Let's start with a critical understanding of the purpose of managing risk on software development projects. Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. IEEE Transactions on Software Engineering , Vol. De Meyer, C. 24, 2010. “A