How to automate software quality discovery and remediation with CAST

A recap of best practices and recommendations from the 2018 O’Reilly Software Architecture Conference in NYC.

Strategies to fix technical debt is a topic that’s not going unnoticed this year.

La sostenibilità è nella Software Intelligence strutturale

Money talks, to the tune of $21M, and it says Software Intelligence is the cornerstone to reduce software risk.

With the increasing adoption of DevOps and CI/CD, QA teams are being decentralized. QA professionals must prioritize the structural health of complex software systems to prevent software risk accumulation in an Agile and automated world.

Most Inhibitors to App Cloud Migration are Pure Software Engineering Issues

Software Intelligence into the true effort, work and quality delivered by teams and partners should be standardized and consistent for complete transparency.

Cristina Alvarez, former CIO of Telefónica, shares why understanding software is increasingly important to business operations.

Artificial Intelligence is on the priority list for 20% of CIOs, but can your existing applications support this new way of doing business?

Every major business today is mostly run on software. Make sure you have the right intelligence to be a leader in the digital world.

L’ approccio costante alla misurazione come reale contributo all’efficientamento del vendor management

At the OOP conference in Munich, CAST Principal Research Scientist, Philippe-Emmanual Douziech, presented on the value of automated function points and automation.

Overcoming organizational hurdles to adopt an Agile culture can be tough, but the pay-off is huge.

Connected devices in healthcare may be putting you at risk, but not in the way you imagine.

As organizations adopt Software Intelligence to drive business outcomes, they may face challenges from development teams and architects. This is one story of success.

Technical debt is a huge problem for many organizations today and if it’s not being addressed, it’s growing. Growing technical debt takes away from funds for innovation, and instead uses it toward maintenance.

Taking a visual approach to legacy modernization gives teams full transparency into its impact on software architecture.

It doesn’t matter how many days removed we are from sipping champagne, singing "Auld Lang Synge" and making New Year’s resolutions, we still need to look back at 2017, lest we repeat the same mistakes we've already made.