Agile is often perceived as applicable just to development teams, it needs the entire organization to adjust to become truly effective. Let’s see how a holistic view of testing and automation will power agile practices.
The focal point of continuous integration is to validate security, performance and usability. To ensure quality in DevOps, clear understanding of potential risks and priorities with respect to business performance and customer value is also crucial. Let’s take a closer look at some key aspects that drive an integrated DevOps quality approach.
With the growing adoption of agile and DevOps, an emphasis on predictive analysis and intelligence-led testing, and increasing automation of QA and testing methods, a new set of skills are required from QA and testing professionals.
DevOps has a straight advantage over the traditional software development and deployment approaches. It reduces the time spent on interleaved phases so that software delivery is close to immediate and glitch free. In such a highly integrated approach where development, testing, quality assurance, and delivery need to work in tandem, automation and system intelligence would come in to play a crucial role. Info graphic Here’s how.
Product engineering is a vast domain that deals with various aspects of designing and developing a system, software or device, starting from quality and cost to performance, projected lifespan, dependability, user features and serviceability. Quite naturally, testing product engineering services too encompasses a wide field that’s different from testing your everyday software and systems.