The Many Ways in Which Predictive Analytics Has Impacted Software Testing


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Software testing is a crucial part of the technology system for obvious reasons. And that same reason has also driven its continued evolution — in the past few years; this industry has made massive strides, thanks to the influx of a world of technology-driven tools and resources. But it is the growing demand for modern solutions that are as dependable as they are fast that has served as the foundation for this change. And the pursuit of satisfying this demand has resulted in companies turning to technologies like artificial intelligence, machine learning, and big data. Big data has become quite the favorite in the software testing world, thanks to its ability to empower companies to gather and analyze data to glean insights that help deliver not only become more efficient but also achieve better products.

Photo by Adeolu Eletu on Unsplash

And with the potential of predictive analytics, enabled via big data, clear to companies across the globe, it isn’t surprising to see that they are working to leverage it to their benefit. After all, it not only lends much more insight and depth to software testing but also makes it far more robust than previously possible. And not just that, as software products become more and more focused on the customers it intends to serve, predictive analytics has also helped companies switch their focus from purely ending result-oriented and adapt their software testing process. But now, let’s take an in-depth look at precisely what predictive analytics can do and how it stands to improve software testing.

  1. Prevail over the limitations posed by legacy systems: Legacy systems may have served a purpose, a mighty crucial one at point, but the fact remains that they can obstruct seamless operations owing to the different technologies involved. Predictive analytics takes care of that since it presents data via historical charts, test performance, and more. It, in turn, provides information about the precise issue, what areas offer room for improvement, and what needs to change entirely to intended results.
  2. Improved reports: Predictive analytics are enabled via dashboards, which also serve to fortify the organization’s capabilities as far as reporting and tracking are concerned. A plethora of personalization options complements it.
  3. Better focus on customers: With customer-focus being a crucial factor in the overall scheme of things, predictive analytics helps companies adapt their approach in various ways. Case in point: It can be used to foretell users’ reactions to specific events based on their usage patterns.
  4. Enhance test automation: Predictive analytics helps in this regard by assisting companies in identifying errors at an accelerated pace, among several other things. All these factors, then, boost two things: chances of success and utility.

To conclude, we could go on and on about how software testing benefits from the integration of predictive analytics. Though, we suppose the above discussion amply demonstrates this tool’s potential. So, go on and find yourself a trusted software testing services company and get started with realizing the many benefits of nifty technology.

Mrunal Chokshi
Mrunal has been actively involved in Internet marketing for more than 10 years. His knowledge and experience motivates him regularly in contributing through writing on technology topics.


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