Satya Nadella says the AI era requires a new SDLC, urging developers to reverse traditional workflows and build software starting from real-world outcomes.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I am continuing my ongoing coverage of ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

Companies that treat AI as a feature will fall behind those that rebuild their entire development process around it.

Recent supply-chain breaches show how attackers exploit development tools, compromised credentials, and malicious NPM ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...

This article was co-authored by Dr. Anand Nayyar, professor and vice chairman (research) from Duy Tan University, Vietnam. The emergence of artificial intelligence (AI) has fundamentally reshaped ...

There are mountains of articles on the various software development life cycle methodologies, but nothing beats personal experience. While there may be no single SDLC methodology that fits all ...

Best ways to incorporate security into the software development life cycle Your email has been sent With the persistence of security issues in software development, there is an urgent need for ...

The purpose of tracking and monitoring software engineering metrics is to assess the current product or process performance, enhance it, and anticipate the quality after the software development ...