As organizations face growing demands for speed, quality and adaptability, traditional performance improvement methods and Agile development practices alone often fall short. While Agile methodologies ...

What is Agile software development? Agile software development is a set of collaborative methods and practices for producing software code faster and more efficiently. In particular, Agile development ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

While all of the recent Microsoft buzz centers on Windows 7, the company made a small but important announcement this week. At TechEd Europe in Germany, Microsoft announced that it has adapted its SDL ...

It's four years since the mainframe software company Compuware went from public ownership to private. Now its CEO Chris O'Malley believes the company is ready to reinvent the mainframe software market ...

The methods technology companies use to develop new software for their customers have changed in recent years, making applying the rules for capitalization of software development cost more ...

One challenge agile leaders and teams face is how to define and follow data and architectural patterns and standards in agile development. There’s a belief that it’s hard to drive data and technical ...

Agile software development processes, in which software is built in short iterations rather than mapped out fully in advance, have joined the mainstream of development approaches, according to a ...

WASHINGTON, DC -- Black Hat DC -- Microsoft here today released a software tool for developers using the Agile development model to deploy its Security Development Lifecycle (SDL) processes and tools ...

A bank based on a mobile app, a car maker that rents out cars rather than selling them, and somebody renting their spare room all have something in common - they rely on fintech to work. Monzo is ...

Companies of all sizes are implementing AI, ML, and cognitive technology projects for a wide range of reasons in a disparate array of industries and customer sectors. Some AI efforts are focused on ...