The Influence of AI and Machine Learning on Pen Testing

The Influence of AI and Machine Learning on Pen Testing

Publish Date: March 21, 2023

A few years ago, intelligent security tools were just a marketing gimmick. Today, artificial intelligence and machine learning are a necessary part of IT security operations. AI is changing the security testing industry and is making software development safer, more efficient, and more reliable.

Metamorphic Testing for Machine Learning Based System

Metamorphic Testing for Machine Learning Based System

Publish Date: November 30, 2022

In order to test ML-based systems, metamorphic testing is used to describe the system functionality in terms of generic relations between inputs, the generic transformations of those inputs, and their outputs.

Integration of Artificial Intelligence Into SaaS

Integration of Artificial Intelligence Into SaaS

Publish Date: September 28, 2022

In recent years, conventional SaaS models have evolved into sophisticated service-oriented platforms geared toward enhancing business efficiencies and capabilities between the company and its suppliers, clients, and business partners. Artificial intelligence has become an integral part of SaaS 2.0, as AI-based SaaS integrations allow businesses to cater to their customers’ needs in DTC, B2C, and B2B markets.

How AI and Machine Learning Impact Software QA

How AI and Machine Learning Impact Software QA

Publish Date: July 7, 2020

Every company wants the future of technology implemented today. That’s why the AI industry rapidly grows year after year and continues to be one of the biggest automation testing technologies trends in software testing. Adding machine learning and AI to your QA testing strategy can be both exciting and scary. It’s always fun to engage with new technology and discover all the key benefits of AI in QA test automation. But what impact does AI and ML bring to software QA? And should that change be embraced or rejected?

Automation Testing Technologies - What’s Trending in 2020?

Automation Testing Technologies - What’s Trending in 2020?

Publish Date: May 6, 2020

Evolution in technology continues to make life easier. During the past decade, many surprising accomplishments have been done in the technical world.

Data Science and its Life Cycle: TechnoCast - Winter 2019

Data Science and its Life Cycle: TechnoCast - Winter 2019

Publish Date: January 30, 2019

Data science is pertinent to many fields including finance, social media, security, healthcare, defense, medicine, economics, marketing, fraud detection, geolocation, and many more. During different phases of Data Science, data is discovered, conditioned, extracted, compiled, processed, analyzed, interpreted, modeled, visualized, reported, and presented regardless of the size of the data being processed to have some actionable items to be used for business purposes. In this newsletter, we bring you the concepts that help us to gain insight into Data Science and its trends, Data Science types, Machine Learning Life cycle so that you can have good understanding about it.

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Authors

Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.

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