Artificial Intelligence is transforming every aspect of software development, from design to deployment. OpenXcell, a leading ...

Software development has come a long way in the last 30 years. I remember when you could manage the software development life cycle (SDLC) on your own computer.

Artificial intelligence (AI) and machine learning (ML) aren’t academic research subjects anymore. Businesses, especially the disruptors and those who are entrenched in digital transformation ...

Implementing generative AI in software development holds immense promise, but the technology is still evolving. It’s important to develop strategies to manage the associated challenges and risks. 1.

Bringing a software product to life is rarely a straight path. It takes more than good code. It takes strategic insight, cross-functional teams, and a ...

In the software development life cycle, there are certain standards software developers can adopt to ensure a secure SDLC. Some of them are highlighted below alongside the SDLC phases. 1.

This programming tutorial takes a deep dive into the origins of the Lean methodology, its advantages, and how to successfully implement its principles during the software development life cycle ...

The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on ...

Codefresh is hoping to make it easier for development teams to manage applications throughout the software development life cycle with its latest update.. It is introducing a new environments ...

The development phase is the first phase in the life cycle of a business. Development-stage companies seek to establish their business models.