Market Overview

Eggplant Adds Predictive Insights to its Digital Automation Intelligence Suite to Minimize Product Release Risks


Provides intuitive insights that visualize the business risk,
improve product quality and optimize the customer experience

the provider of user-centric, intelligent testing and performance
solutions, today announced the addition of Eggplant Release Insights to
its Digital Automation Intelligence (DAI) Suite. The technology enhances
Eggplant's market-leading automation capabilities, providing intuitive
analytics and insights that help teams finally understand the impact on
user satisfaction and business outcomes if they release another version
of their product now. This helps accelerate the continuous delivery of
applications and software and provides organizations with a competitive

Releasing new applications and software provides development teams with
a wide array of technical data. However, organizations are missing out
on a critical business opportunity by not collating this information,
making decisions driven by experience rather than data. Eggplant Release
Insights addresses this issue by providing an aggregate, visual summary
of key information, enabling teams to immediately understand the
business impact and take action. This allows teams to make data-backed
decisions that improve the quality of each release and enhance the
customer experience.

Eggplant Release Insights works in conjunction with Eggplant AI,
providing an ever-expanding set of comprehensive predictors that
determine the overall release quality. This creates an intuitive,
real-time understanding of the release rating, enabling companies to
fine-tune their testing and address any issues prior to release.

Predictors Include:

Bug Content Predictor: Predicts the expected number of
undiscovered defects and assess all aspects of the build process.

Development Quality Predictor: Identifies the biggest risk
factors within the release and assess their impact. The result is to
assess the quality of the entire development process and identify the
key risks that will impact quality.

Test Coverage Predictor: Using coverage data from regression
and exploratory tests it provides an assessment of the level of coverage
on the current product.

Usability Quality predictor: The UI under development is
analyzed and a visual metric is generated of how usable and consistent
the current release is.

Quotes and Commentary

"DevOps teams are drowning in data but, in this world of continuous
everything, they lack the ability to easily predict outcomes and the
effect on the business. Optimizing products to drive growth is essential
for every organization and our "release rating" will provide teams with
real time insights to immediately understand the quality and the impact
on the user before release. This further cements Eggplant's leadership
in deploying AI, machine learning, and analytics today to optimize the
customer experience and accelerate the pace of DevOps."
Edwards, CTO, Eggplant

Additional Resources

About Eggplant

Eggplant, the fastest growing test automation provider and a portfolio
company of The Carlyle Group, provides user-centric, intelligent testing
and performance solutions designed to optimize the digital experience,
delight customers, and drive business success. Only Eggplant enables
organizations to test, monitor, analyze, and report on the quality and
responsiveness of software applications across different interfaces,
platforms, browsers, and devices, including mobile, IoT, desktop, and
mainframe. Learn more at

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