The adoption of digital technology by companies to drive its strategic common goals to help improve efficiency, reduce cost, and achieve business objectives is known as Digital Transformation. Digital Transformation is gaining more attention as companies try to do more with less resources. The DX journey can be challenging for any organization regardless of where you are on the technology adoption curve. Today’s progressive organizations are rapidly adopting advanced, cloud-based software applications at an accelerated pace. As these applications frequently change, software quality and testing efficiency take center stage. As new features are added to software and other changes within the software take place; organizations are building up a significant amount of what is known as test debt. Test debt is a metaphor for the buildup of testing requirements as a result of past projects, cadence releases or sprints. It is a representation of the level of effort needed to identify and remediate software issues and defects that may remain in the code when software applications are released.
Tests may take many forms but its most significant form is related to the maintenance of automated tests. As you may have discovered, using either commercial or bespoke applications each time the application is updated, automated tests or manual tests may no longer work. The laborious task of debugging, recoding, and retesting your automated test scripts may have a significant impact on your organization’s operational efficiency and ability to quickly adopt new features and enhancements associated with today’s cloud-based applications. Over time, software quality assurance and validation tests may find themselves quickly drowning in test debt.
Solving the test dilemma is the key to your successful digital transformation strategy which will save time and money. Artificial intelligence is a technology whose time is come. Reducing tests is all about ensuring greater software quality and sustained compliance. Artificial intelligence that drives test automation will not only result in more reliable software quality, it will go a long way to ensure a more successful digital transformation of your organization saving both time and money.
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Excellent insights into the test debt reality that puts tremendous pressure and/or cost on SQA to safely deploy application change inherent with digital transformation. Automated testing powered by deep AI/ML is evolving as the most efficient method to reduce test debt.