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  • Probabilistic Project Planning Using Little’s Law

    by Dimitar Bakardzhiev on  Jun 21, 2015 4

    When working on projects, it is most of the time necessary to forecast the project delivery time up front. Little’s Law can help any team that uses user stories for planning and tracking project execution no matter what development process it uses. We use a project buffer to manage the inherent uncertainty associated with planning and executing a fixed-bid project and protect its delivery date.

  • The Cloud Migration Checklist

    by Richard Seroter on  Jun 18, 2015 1

    Are you in the process of moving applications to a public cloud? You’re not alone. 451 Research says that 46% of 2015 IT budgets are going towards off-premises systems, with that number expected to climb to over 50% within the next three years. In this article, we’ll explore four stages in a cloud migration lifecycle and the questions to answer before exiting each one.

  • Big Data and IT-Enabled Services: Ecosystem and Coevolution?

    by Bongsug (Kevin) Chae on  Jun 13, 2015

    In this article, based on a research study, author presents big data as a service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets. Big data services emerge from combining diverse resources from an ecosystem of technologies, market needs, social actors, and other institutional contexts.

Managing Technology with CORE Strategy & Architectural C’s & P’s

Posted by Suman K Pradhan on  Jun 11, 2015

Suman Pradhan has written about developing the CORE approach to helping architects and developers build sustainable solutions that match the business needs.

Using Blocker Clustering, Defect Clustering, and Prioritization for Process Improvement

Posted by Klaus Leopold & Troy Magennis on  Jun 08, 2015

Finding ways to eliminate root causes of delays can improve flow. This article discusses clustering blockers and provides ways to prioritize blockers that have most impact or are the quickest wins.

Analytics, Machine Learning, and the Internet of Things

Posted by Seth Earley on  Jun 07, 2015

In this article, author discusses evolving technologies like Machine Learning and IoT, how organizations can benefit from these new sources of information and intelligence.

Using Experiments and Data to Innovate and Build Products Customers Actually Use

Posted by Ben Linders on  May 28, 2015

An interview with Jan Bosch about getting benefits from increasing delivery speed, steps after adopting Agile and DevOps, using experiments to innovate, and practices for experimentation.

Dealing with Politics in Agile or Lean Teams

Posted by Ben Linders on  May 25, 2015

An interview with Katharine Kirk about how agile or lean can increase politics and how she combines ideas from agile and lean with eastern and tribal philosophy to deal with people issues that arise.

High Tech, High Sec.: Security Concerns in Graph Databases

Posted by George Hurlburt on  May 23, 2015

Graph NoSQL databases support data models with connected data. In this article, author discusses security implications of graph databases in use cases like graph discovery and knowledge management.

Q&A on the Book Scenario-Focused Engineering

Posted by Ben Linders on  May 22, 2015

The book Scenario-Focused Engineering describes a customer-centric lean and agile approach for developing and delivering software-based products using a fast feedback cycle.

Full Stack Web Development Using Neo4j

Posted by Brian Underwood on  May 21, 2015

When building a web application there are lot of choices for the database. In this article, author discusses why Neo4j is a good choice if data model contains lot of connected data and relationships.

Q&A on the Book More Fearless Change

Posted by Ben Linders on  May 19, 2015

The book More Fearless Change provides updated descriptions of the 48 patterns from the book Fearless Change and provides 15 new patterns to drive change in organizations in a sustainable way.

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