5 Ways AI Steals the Spotlight on the Stage of Automation Testing

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5 Ways AI Steals the Spotlight on the Stage of
Automation Testing
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5 Ways AI Steals the Spotlight on the Stage of
Automation Testing
There is no doubt that mechanization has made our
lives easier, and our tasks more efficient. The
idea of a machine with a human-level cognition
has always been fascinating, making it a beloved
theme for most science-fictions. Today, that
machine is no longer just a fictional object.
Instead, it is crawling into and digging its
claws, slowly but steadily, deep in the realms of
the human society. Aptly named as Artificial
Intelligence, it is expected to think, mimic, and
perform like, may be even better than, humans.
From smart assistants and chatbots to basic email
filters and customized reply options, AI is
becoming an indispensable part of our everyday
lives. With every industry vertical being
affected by the power of Artificial Intelligence
and Machine Learning, it has become crucial for
the IT sector to keep up with the trends and
deliver on demand. In this age of digital
revolution, testing becomes all the more
important. To meet with the rising demands and
blistering pace in the modern Agile and DevOps
organizations, automation of testing has become
critical to ensure efficiency, and quality at
speed. Automated testing has certainly improved
test coverage, enhanced test quality, and reduced
the amount of manual labor required. However, it
is still not possible to achieve 100 automation,
as it needs extensive maintenance, which in turn
requires human intervention. In such a scenario,
amalgamation of test automation and Artificial
Intelligence can do wonders for any organization.
AI, along with machine learning, is expected to
be the driving force of the future of automation
testing. This blog talks about 5 ways in which
Artificial Intelligence will steal the thunder as
testing becomes automated.
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Key reasons for Integrating Performance Testing
Tools in the world of DevOps

• Delivering Quality at Speed
• Test Automation has anyway significantly
  decreased the extent of human assistance. AI will
  further reduce it by limiting manual activities
  to those tasks that are non-feasible for a
  machine to do. Conducting exploratory tests,
  supervising and analyzing the machine-identified
  anomalies, and validating and rectifying the
  decisions taken will be the main tasks that will
  have to be hand-operated. AI, on the other hand,
  will be responsible for those activities which
  are too arduous and time-consuming if performed
  manually, such as, browsing through thousands of
  lines of codes for detecting anomalies and bugs,
  identifying redundant test cases, deciding which
  test cases to run automatically, achieving test
  coverage by extracting keywords from Requirements
  Traceability Matrix (RTM), and prioritizing
  regression test cases based on the high-risk
  areas of the application. Unlike the industrial
  revolution when machine completely took over and
  resulted in unemployment of thousands of manual
  labors, the AI revolution will require the man
  and machine to work in a tandem for obtaining the
  best results. This symbiosis between AI and
  humans is called Intelligence augmentation, which
  will allow testing to match the pace of
  development and facilitate timely release of
  quality software.
• 2. Stable, Agile Tests with Fuss-free maintenance
• With the rise in the demand of Continuous
  Delivery, it is imperative for organizations to
  adopt Continuous Testing practices, which can be
  feasible only through automation. As part of this
  process, there are various Unit tests, API tests,
  and UI tests

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5 Ways AI Steals the Spotlight on the Stage of
Automation Testing

that need to be run on a regular basis. In
automated testing, test scripts are run
automatically. However, maintaining those scripts
had to be done manually, which again required
tremendous time and effort. This is where AI and
ML become highly critical. Using machine
learning algorithms, cross co-relations can be
established from all the gathered data. Based on
that, AI understands what normal behavior is and
what is not. AI is equipped with Dynamic
Locators, that recognize even a slightest change
in the tiniest element and make changes in the
test scripts accordingly. This prevents test
failures, guarantees stability of tests, while
updating and maintaining test scripts without any
human interference. Read Full Blog at
https//www.cigniti.com/blog/need-ai-ml-automatio
n-testing/
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