Software estimation is a famously inexact business. Web-hosted software provider
Planix hopes to change that with its Planix estimation solution, which draws
on established best practices and proprietary methodologies to refine build-and-test
phase project planning and estimation.
The tool lets users generate outcome scenarios, ranging from worst and best
cases to most likely. Managers can also craft what-if scenarios. As a hosted
app, Planix doesn't impose the usual up-front deployment and licensing costs,
which means busy dev shops can immediately benefit.
"Stakeholders are notoriously visionary and optimistic," says Planix
CEO Sunjay Pandey. "That's great...and you want to keep that vision for
the business, but Planix lets you put it all down in black and white."
You can work with a "Solo" edition of Planix for free, but it's limited
to a single active project. There are five other services levels that scale
up to enterprise levels, supporting numerous projects and managers. The mid-range
"Project Manager" edition, which allows three active projects and
five versions per project, costs $25.95 per month. For more information, check
out Planix's Web site here. -- Chris Kanaracus, News Editor, Redmond Developer News
Posted on 02/28/2007 at 1:15 PM
With Google recently releasing a generative AI-powered search bot called Bard to rival Microsoft's "new Bing" search experience, we put both to the test, feeding them identical questions about Visual Studio and .NET.
GPT-4, the advanced generative AI model from Microsoft partner OpenAI, is now powering the new GitHub Copilot X and the Azure OpenAI Service.
Microsoft shipped TypeScript 5.0 with new features claimed to make the language smaller, simpler and faster.
A new tool that can generate code is being previewed in the Visual Studio Code Insiders channel seeks to ease the tedious data preparation process that data scientists need to go through to get good data for successful analysis projects.
Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of Microsoft Research, who provides step-by-step instructions and full source code.
> More Webcasts