Looking back over the years, we can see that projects tend to use test efforts as Quality Insurance, rather than a part of the Quality Assurance efforts. Having well-designed test cases exercising relevant functionality from different perspectives are, of course, fundamental. If done right, it is probably the best way to determine if deliverables are designed to specification. This cannot, however, be viewed as an insurance policy put on the development process against any errors introduced along the way.

Software quality assurance has been on the rise for the last 20 years. Today, it’s more important than ever. With a growing and ever-changing digital landscape, and businesses built around software solutions, software quality assurance is vital to create a successful business and to be able to scale when the time comes. Especially for SaaS companies, software quality assurance is vital to provide high quality services and to create long-term success.

“Quality assurance enables energy businesses to deliver high-quality solutions and customer experiences, and to effectively and more easily manage complexity” – Eric Järdemar, Delivery manager at System Verification

If you’re operating within the energy industry often feels like navigating a complex world. There are many challenges associated with the complexity of the product, market, applications, chain of actors, digital solutions etc. Behind the scenes, managing this complexity while ensuring a smooth and simple user experience is crucial. Not being able to do this may have devastating consequences for your brand and business. With software quality assurance you can effectively manage and simplify complexity and ensure excellent customer journeys and value.

In the fast-growing world of modern business, where agility and adaptability dominate, companies continually strive to enhance their operations while upholding rigorous standards of quality. One strategy for achieving this traction is the utilization of consultants for Quality Assurance (QA) instead of hiring full-time employees. While this approach offers a number of benefits, it's essential to recognize that consultants alone may not always be the answer. Instead, a balanced combination of consultants and in-house expertise is key to achieving optimal QA outcomes.

In the competitive realm of software development, ensuring high-quality products is essential for success. One key aspect of achieving this goal is implementing robust Quality Assurance (QA) processes. However, determining the most effective consultant delivery model for QA initiatives can be a strategic decision with significant implications. In addition, the scarcity of skilled engineers in the industry poses a significant challenge, further complicating the process of establishing effective QA practices. In this blog post, we'll explore various consultant delivery models tailored for software QA, providing insights to help businesses in the tech industry make informed choices.

In this article, I would like to explore the topic of ineffective retrospectives and why teams often overlook this meeting, even though it is one of the most important Scrum events. Of course, I will also share techniques that have helped me and my teams organize more productive and effective retrospectives that no one wants to skip.

Integrating DevOps practices in software development has revolutionized how teams collaborate and deliver products. It is all about deploying continuously, delivering new features faster, and encouraging teams to collaborate and work together more than ever. Despite many benefits, maintaining high-quality standards in the fast-paced DevOps environment poses unique challenges which we can overcome by establishing simple practices in the team.

How many times have you opened your website and thought that even the client side is quite telling you: “You shall not pass!”

In the era of low-code/no-code technology, organizations are witnessing a transformative shift in app development. Empowering business users without extensive software development knowledge, these platforms enable the creation of custom applications and digital support systems effortlessly. When paired with generative AI, the potential for innovation and efficiency reaches unprecedented heights.

In this blog post, we will explore the challenges faced by Enterprise organizations when implementing or managing test automation frameworks and how a robust framework can streamline the process. CTOs and product owners will gain valuable insights into improving their automated testing strategies.