Requirements Patterns With VSTS -- Visual Studio Magazine

Requirements Patterns With VSTS

Learn some simple yet powerful requirements patterns that you can apply to most projects and processes.

By Martin L. Shoemaker
05/01/2006

Listen to the audio and watch the slides! (Running time: 1 hour, 3 minutes) Some projects use VB.NET, some use C#, some use Managed C++, and some use a combination of those. Some projects are Web-based, while others run on a desktop or in a console. But no matter how they differ, all projects are the same in one regard: They all have requirements. So requirements definition and management should be at the core of any good process. In this session, you'll learn how Visual Studio 2005 Team System helps you define, store, track, and report requirements. You'll also learn some simple yet powerful requirements patterns that you can apply to most projects and processes.

Printable Format

comments powered by Disqus

Featured

Visual Studio Devs Demand Claude 3.5 Sonnet AI: 'Why Is VSC Always Preferred?'

The brand-new Visual Studio 2022 v17.12 lets devs specify the AI model they want to use with the baked-in GitHub Copilot, but some are clamoring for more options, such as the latest/greatest Claude 3.5 Sonnet model from Anthropic that is available in VS Code.
SQL Database in Microsoft Fabric in Preview for Faster AI Apps

Microsoft's early embrace of advanced AI in its dev tooling continues apace with the new public preview of SQL database in Microsoft Fabric, the company's analytics/data platform.
Microsoft Seeks to Sort & Simplify its Agentic AI Dev Story

The company will infuse multi-agent runtime tech developed in its AutoGen research project into its production-ready Semantic Kernel SDK, both open source.
Uno Platform Unveils 'Hot Design' Tool for Cross-Platform .NET Apps

Uno Platform provided a new take on visual designers for .NET app development, claiming a breakthrough that changes code at runtime rather than the design stage.
Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning regression techniques, k-NN regression is often slightly less accurate, but is very simple to implement and customize, and the results are highly interpretable.