Agile Test Automation is fuel for the cloud for a business to function, so must its software which is why testing is growing in stature.
Testing now is big business. The testing services market is worth 30$ billion per year, rising to $46 billion in the next three years. In an industry in which only 32 percent of projects are successful and half of all development efforts are wasted, there is little margin for error. And with testing taking place earlier and more frequently within the development process, there is greater need for test automation.
The typical QA department wastes a big portion of its budget on inefficiencies that only get worse as complexity of core banking system grows. Automate many of these tasks and processes and you become leader and more responsive to business changes.
A good example is Patch Management. Patching software was once performed by making personal visits to each system, including clients’ systems and installing the new patch. An unsustainable method, so the same way we developed automated patch management software to distribute and install patches over the network and eliminate the need for the visits we need to automate the testing of these patches.
Automated Regression testing ensures a high degree of accuracy and reduces costs significantly.
Complexity has surpassed human ability. Until now, inefficiencies were tolerated because staff could compensate, but we have reached a threshold and complexity changes the game dramatically. The pain of inefficiency is simplified as staff becomes overwhelmed by the sheer magnitude of maintaining all the tests keeping them up to date and manually executing. The only answer is technology to manage the technology. Complexity of the new modern applications exceeds manual ability and automation becomes a necessity.
The increased need for automation supports a more ‘continuous’ approach to software quality and testing. The traditional model where the focus was to test at the end once development was complete is gone, unless you want delays and rework in the projects.
By 2020, Automation will have become the norm, and it will extend beyond continuous testing and into environment provisioning and deployment with ‘self-correcting’ apps as part of this trend toward total automation. The capacity for an application to recognize and self correct certain problems is entirely in keeping with automation aim of removing human latency wherever possible.
E.g. an app to recognize its consumption of system capacity and request additional capacity from the cloud without human involvement.
Complexity has surpassed human ability. Until now, inefficiencies were tolerated because staff could compensate, but we have reached a threshold and complexity changes the game dramatically. The pain of inefficiency is simplified as staff becomes overwhelmed by the sheer magnitude of maintaining all the tests keeping them up to date and manually executing. The only answer is technology to manage the technology. Complexity of the new modern applications exceeds manual ability and automation becomes a necessity.
The increased need for automation supports a more ‘continuous’ approach to software quality and testing. The traditional model where the focus was to test at the end once development was complete is gone, unless you want delays and rework in the projects.
By 2020, Automation will have become the norm, and it will extend beyond continuous testing and into environment provisioning and deployment with ‘self-correcting’ apps as part of this trend toward total automation. The capacity for an application to recognize and self correct certain problems is entirely in keeping with automation aim of removing human latency wherever possible.
E.g. an app to recognize its consumption of system capacity and request additional capacity from the cloud without human involvement. Tagged under