Predictive Analytics for QE with BlueSwan™ - PowerPoint PPT Presentation

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Predictive Analytics for QE with BlueSwan™

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Know more about the role Predictive Analytics and Intelligent Automation for QE play in QA with BlueSwan and how it can help organizations advance to the next level in this white paper. – PowerPoint PPT presentation

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Title: Predictive Analytics for QE with BlueSwan™


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Predictive Analytics for QE with BlueSwan
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Predictive Analytics for QE with BlueSwan
How Predictive Analytics can move your QA
organisation one step closer to Continuous
Testing In our world, organisations 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 ITs delivery arsenal. Despite these
improvements, many companies still face the
headwinds of aligning and optimising 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 the software technologies. However,
while such conventional approaches for software
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.
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Predictive Analytics for QE with BlueSwan
  • The advantages of smarter testing automation
  • Increased agility and efficiency
  • Cost savings and improved testing ROI
  • Intelligent business analytics for predictive
    defect avoidance
  • How Cigniti is ushering in the future of
    Intelligent Testing
  • A key point of Cigniti's BlueSwan offering is
    IP-generated intelligence. Unlike competitors'
    offerings on application testing services that
    centre services on late cycle regressive testing
    and "gut feel"based test coverage, Cigniti's
    Business Assurance ethos centres on early-cycle
    progressive testing and intelligence-based test
    coverage. To achieve this shift in approach,
    Cigniti has developed BlueSwan Verita.
  • Cigniti's Verita consists of services and
    intellectual property that provide an efficient,
    flexible automated quality solution that helps
    enable testing early in the software development
    life cycle (SDLC). It delivers ROI through its
    usage of open-source tools, high test asset
    reuse, and an ability to unify clients' existing
    automation tools and frameworks in a single,
    end-to-end platform. Verita is aimed at
    organisations that utilise Agile development for
    application delivery and supports continuous
    integration and continuous delivery (CI/CD) and
    DevOps frameworks.


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Predictive Analytics for QE with BlueSwan

Under the banner BlueSwan, Cigniti's Verita and
Velocita predictive analytics and unified test
automation platforms combine to form the basis
for continuous testing that enables organisations
to quickly and predictively prioritise tests for
automation and optimise test scheduling. At its
foundation, Verita employs a predictive analytics
and machine learning engine. This detects
patterns in software development data, such as
user stories, test data, and defect data, and
post-application release data, such as error
logs, defect logs, and multichannel customer
feedback information. The assembled information
feeds into the automated test tools, frameworks,
and repository for Velocita, which, in turn,
churns out an optimised, automated test plan.
Once tests are run, data is fed back into the
analytics engine and machine learning is applied
to drive more intelligent test plans and
execution for the next sprint cycles in the Agile
development process. When employed together, our
tools are able to generate productivity gains by
reducing test execution time for sanity and
regression suites by 60. With the creation of
Velocita and Verita, Cigniti has created a test
automation and predictive analytics solution that
has no peer.   Download the full white paper to
know more https//www.cigniti.com/resource/white-
papers/predictive-analytics-for-qe-with-blueswan/
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