Agile ALM for Delivering Customer Value: Getting Started

In this first part of a two-part series, Mario Moreira writes that a reasonable application lifecycle management (ALM) product will have a common user interface for utilizing the ALM functionality. It will also include a meta-model and process engine to parse and share information across and amongst the various functions within the ALM framework. These technical needs must be accompanied by a strong business case for delivering higher customer value and new approaches for seamless integration.

Mario  Moreira's picture Mario Moreira
Cloud Wars Heat Up With Rackspace Fully Integrating OpenStack

With Rackspace announcing that its hosting services are now operating on OpenStack, the IT hosting company seems poised to compete with the big boys of the cloud.

Jonathan Vanian's picture Jonathan Vanian
Agile ALM for Delivering Customer Value: Back-end Disciplines

In this second part of a two-part series, Mario Moreira explores the back-end disciplines of a lifecycle that establishes an ALM framework centering on customer value. If your organization has adopted agile and you are looking at building your ALM framework, consider an infrastructure and tooling that will help you establish and build customer value throughout the lifecycle.

Mario  Moreira's picture Mario Moreira
How to Squeeze the Most Out of Your Automated Testing

Jonathan Lindo describes examples of automated test infrastructure utilizing both open source and traditional, independent-software-vendor-sourced software. In addition, he discusses new techniques for extending the value of automated testing by transforming the process from defect finding to defect resolution by reducing the effort required to document, reproduce, and troubleshoot the defects generated from automated tests.

Jonathan Lindo
Problem Resolution Optimization

No matter how well we plan and execute software development, defects are generated and can escape to the customers. Failure to quickly resolve software problems leads to negative consequences for our customers and increases internal business costs. A quick deterministic
method to prioritize problems and implement their solution helps to reduce cycle time and costs. Achieving this goal requires several steps. The first is to determine a model that links problem resolution performance to institutional variables and problem characteristics. Statistical Design of
Experiments (DOE) is a tool that provides data requirements for estimating the impacts of these variables on problem resolution. Once data has been gathered, the results of statistical analysis can be input into a mathematical optimization model to guide the organization.
This paper describes such an analysis.

Don Porter
Software Development Lifecycle: Defect and Test Case Measurement

This article focuses on how to manage the defect and test case measurement during the software development lifecycle. This should be a practical resource for software developers and project managers.

Steve Miller

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