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  • Probabilistic Project Planning Using Little’s Law

    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

    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?

    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

    Suman Pradhan, who has worked in healthcare, financials and technology sectors, has written about developing the CORE (Consolidate, Optimize, Refresh and Enable) approach to helping architects and developers build sustainable solutions that match the business needs. In this article he discusses CORE and compares and contrasts with other software architectural techniques.

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

    When work gets delayed (it’s blocked), it is of particular interest to look for ways to improve the smooth flow of work by resolving the causes of that delay. In the long term, finding ways to eliminate the root causes of these delays is a superior solution. This article discusses clustering blockers and provides ways to prioritize those blockers that have the most impact or are the quickest wins.

  • Analytics, Machine Learning, and the Internet of Things

    In this article, author discusses the evolving technologies like Machine Learning and Internet of Things and how to exploit them for data analytics. He also talks about how organizations can benefit from these new sources of information and intelligence embedded in their environments.

  • How a Flow Manager Helps Teams Deliver, Fast and Smoothly

    As agile software delivery practices and management evolve, so, too, do the roles. kanban has introduced the idea of managing flow, one of the method’s core practices. With talented developers, quality advocates and user-experience designers, teams know how to deliver valuable software. But as we improve service delivery using kanban, who manages flow?

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

    An interview with Jan Bosch, professor of software engineering and director of the Software Center at Chalmers University of Technology, about the benefits that companies can get from increasing delivery speed, the next steps that organisations can take after adopting Agile and DevOps, using experiments to innovate, practices for experimentation and how organisations can become more innovative.

  • Dealing with Politics in Agile or Lean Teams

    InfoQ interviewed 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. InfoQ also asked her to give a different perspective and practical advice for addressing and navigating politics in organizations.

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

    Graph NoSQL databases support data models with connected data and relationships. In this article, author discusses the security implications of graph database technology. He talks about the privacy and security concerns in use cases like graph discovery, knowledge management, and prediction.

  • Q&A on the Book Scenario-Focused Engineering

    The book Scenario-Focused Engineering describes a customer-centric lean and agile approach for developing and delivering software-based products. It provides ideas to understand customer needs based upon end-to-end experiences and for designing products in a customer-focused way using a fast feedback cycle.

  • Full Stack Web Development Using Neo4j

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

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