![]() ![]() Needless to say, not having a fixing phase applies to every kind of IT delivery model, whether you work in a sequential (e.g. And since according to the third DevOps principle of DASA the team has an end-to-end responsibility, quality assurance and testing must be implemented as a continuous focus throughout the lifecycle. Requirements, Design, Development and Operations refer to tasks, not to phases or stages, and in a DevOps context these tasks may be performed simultaneously. This term was meant to make people aware that testing cannot insert quality at the end, nor can a team fix any problem at the end. To make people aware of this fallacy, the term "fixing phase" helped a lot. ![]() The initial approach of IT teams until the 1980s, when coping with insufficient quality, was to try to find all faults by testing and then fix them. Testing observes indicators primarily before an IT system goes live. Monitoring observes indicators of an IT system that is in live operation. Monitoring is another quality assurance measure. Testing should focus on both functional and non-functional testing. And as part of all quality measures, testing supports the prevention, identification and elimination of waste. Testing helps detect faults and failures so that they can be fixed before they cause problems for the users. When faults exist in IT products (ranging from mistaken requirements specifications to wrong program code and broken hardware) failures may occur, and people will not get the services they need. Testing consists of verification, validation and exploration activities that provide information about the quality and the related risks, to establish the level of confidence that a test object will be able to deliver the pursued business value. Since in Scrum or DevOps, quality is the responsibility of the whole team, this measuring of indicators can be done by any team member that has the required quality engineering skills. Most of this measuring is a testing task. We need to define quality indicators and measure these indicators. If we want to know if our IT system indeed satisfies the needs, we must measure the quality. This will enable them to deliver quality at speed, for example by forecasting quality problems and solving them before anyone experiences a failure. To implement continuous quality engineering, of which continuous testing is a part, DevOps teams must use state-of-the art tools powered by artificial intelligence and machine learning. This leads to, among other things, Continuous Integration and Continuous Deployment (commonly abbreviated to CI/CD). ![]() Actually, commonly DevOps teams try to implement "continuous everything", which means that they strive to automate as many tasks and activities as possible. In the DevOps IT delivery model, there is continuous focus on quality engineering. These quality measures may be “preventive” (such as user story refinement or pair programming), “detective” (such as static testing and dynamic testing) and “corrective” (such as fixing problems, not only in the product but also in process and/or people’s skills). It is a principle of software engineering concerned with applying quality measures to assure the quality of IT systems.Ĭore to quality engineering is people taking joint responsibility to deliver the right quality by applying various quality measures. ![]() Quality Engineering is about team members and their stakeholders taking joint responsibility to continuously deliver IT systems with the right quality at the right moment to the businesspeople and their customers. The right quality can best be achieved by an integral approach. Quality is the totality of features and characteristics of a product or service that bear on its ability to satisfy stated or implied needs. This means that the quality must be at the level that fits the purpose and delivers business value. So, we need to be able to trust that these IT systems are working good enough to support business processes. In today's world many people and organizations rely on IT systems, many things would not be possible without IT systems. ![]()
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