Predictive and Prescriptive QA

Harness the power of artificial intelligence and machine learning for more efficient test automation

Software Lifecycle Quality or Speed?

In the age of digital, it’s no longer an either/or question. Enterprises need both to succeed.
software-lifecycle
software-lifecycle
  • When requirements are well defined, faster time to market requires the right infrastructure and proven processes and vice versa
  • Mine large volumes of structured and unstructured data available from defect management tools and test automation results
  • Leverage Artificial Intelligence and Machine Learning techniques to add intelligence to your QA processes

Are You Taking Full Advantage of Your Test Data?

Infostretch Uses Predictive and Prescriptive Analytics to Optimize Test/QA Processes

Using artificial intelligence and machine learning algorithms for predictive and prescriptive analytics, Infostretch can not only help you anticipate defects early but also provide appropriate recommendations against those defects to speed cycle time and improve quality. We offer expertise, processes and tools to help organizations:
  • Reduce testing cycles by optimizing your testing processes
  • Predict defect ranges and the risk of modules for next versions
  • Assess what’s driving greater application lifecycle efficiencies and what’s not
  • Prioritize under-performing test use cases for greatest impact
  • Identify the right types of testing and resources needed for optimization
  • Convert unstructured data to usable information to optimize test automation

Proven Methodology to Harness Test Data

test-data-methodology
test-data-methodology

Are You Taking Full Advantage of Your Test Data?

Compare your current approach to industry best practices. The session includes an interactive workshop, stakeholder interviews and recommendations for optimizing your test automation efforts through the use of predictive analytics.

QMetry Wisdom Converts Test Automation Data into
Actionable Results

qmetry-wisdom

QMetry Wisdom, by Infostretch, uses application quality metrics to convert your automated testing initiatives into actionable results, insights and recommendations. It offers users:

  • An intuitive dashboard with complete drill down into all automated test
  • A holistic view of root causes and failures
  • Suggestive test action models to fix these problems
  • The ability to completely customize sprints, versions, component projects, users and various other dimensions.

QMetry Wisdom lets you leverage your automated testing results without any painful configurations.

Resources – Predictive QA

Put Predictive Analytics to Work in Your QA Organization

Compare your current approach to industry best practices. The session includes an interactive workshop, stakeholder interviews and recommendations for optimizing your test automation efforts through the use of predictive analytics.

Latest News, Events, and Thought Leadership

Hear us Speak on “How Varian Achieved Quality@Speed in Regulated Environments”
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Manish Mathuria, CTO
Oct 16, 2017 @ 4:25pm to 4:50pm
Austria Center, Vienna, Austria
Oct 17, 2017
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Software Quality at Speed in Agile and DevOps Environments
Register Now
August 1, 2017
10AM PT / 1PM ET
Online
August 2, 2017
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Test Automation for AEM Applications: A Primer
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Adobe Experience Manager (AEM) has amassed a loyal following and it is easy to see why. AEM enables web and mobile...

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