Cigniti’s BlueSwan™ Verita offers IP-generated intelligence. Download this white paper to learn more about the role Predictive Analytics and Intelligent Automation for QE play in QA and how it can help organizations advance to the next level.

1. www.cigniti.com | Unsolicited Distribution is Restricted. Copyright © 2020 - 21, Cigniti Technologies 1
Predictive Analytics & Intelligent Automation in QA with BlueSwan

2. www.cigniti.com | Unsolicited Distribution is Restricted. Copyright © 2020 - 21, Cigniti Technologies 2
Predictive Analytics & Intelligent Automation in QA with BlueSwan
How Predictive Analytics can move your QA organisation one step closer to Continuous Testing
In our world, organizations developing and deploying applications face mounting pressure to deliver better solutions faster
while incessantly churning business requirements.
Agile and DevOps application delivery methodologies have had an enormous impact on market responsiveness
and Continuous Delivery has augmented IT’s delivery arsenal. Despite these improvements, many companies still face the
headwinds of aligning and optimizing their testing resources and struggle with ever-compressing test cycle times. Software
delivery teams are not only tasked with delivering assurance faster but also need to be more intelligent about what they test
and develop cognitive capabilities that predict and prevent application failures from surfacing before applications reach testing.
This article examines the use of analytics in the QA function and explores how it must become a critical component
of continuous testing.
Progressive application delivery is increasingly gaining adoption across enterprises
In the past, many organisations relied on QA personnel and tools to help ensure application quality and drive business value.
Such traditional testing approaches leveraged human resources to execute massive amounts of application testing tasks
manually with the assistance of software technologies. However, while such conventional approaches for application testing
raised quality levels and reduced the probability of defect leakage into production, they were inherently inefficient, had
difficulty proving value, and were fragmented in their ability to predict application testing issues before they became embedded
defects.

3. www.cigniti.com | Unsolicited Distribution is Restricted. Copyright © 2020 - 21, Cigniti Technologies 3
Predictive Analytics & Intelligent Automation in QA with BlueSwan
Progressive application delivery is increasingly gaining adoption across enterprises
In the past, many organisations relied on QA personnel and tools to help ensure application quality and drive business value.
Such traditional testing approaches leveraged human resources to execute massive amounts of application testing tasks
manually with the assistance of software technologies. However, while such conventional approaches for application testing
raised quality levels and reduced the probability of defect leakage into production, they were inherently inefficient, had
difficulty proving value, and were fragmented in their ability to predict application testing issues before they became
embedded defects. To address this problem, organisations needed not only the means to enable rapid remediation but also
the capability to automatically detect software incidents. These ensure that customer-facing or internal business applications
are always available and running to support users when they are needed.
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