Remove Applications Remove Quality Assurance Remove Testing
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Generative AI in Data and Quality Assurance (QA): Transforming Processes

Perficient

GenAI in Data Management Gen AI revolutionizes the data lifecycle by improving data quality, automating processes, and thus accelerating and improving decision-making. Key applications include: Data Augmentation: Gen AI generates synthetic data to augment existing datasets. Saves Cost due to reduction of manual testing efforts.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

. “As software developers ourselves — working in health tech and fintech, where even minor bugs could have an outsized impact on people’s lives — we know firsthand how critical robust end-to-end testing is for all software businesses,” Perl said. ” Image Credits: QA Wolf.

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UI-licious gets $1.5M led by Monk’s Hill Ventures to simplify automated UI testing for web apps

TechCrunch

UI-licious , a Singapore-based startup that simplifies automated user interface testing for web applications, announced today it has raised $1.5 Tai, UI-licious’ chief executive officer, said that about 90% of software teams around the world rely on manual testing, which is both time-consuming and expensive.

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Quality Assurance, Errors, and AI

O'Reilly Media - Ideas

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. First, one of the cornerstones of QA is testing. The problem grows with the complexity of the test.

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Application security platform NeuraLegion raises $4.7 million seed led by DNX Ventures

TechCrunch

Application security platform NeuraLegion announced today it has raised a $4.7 It currently offers NexDAST for dynamic application security testing, and NexPLOIT to integrate application security into SDLC (software development life-cycle). million seed round led by DNX Ventures, an enterprise-focused investment firm.

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Containerization: Better Quality Assurance Through Automation

Datavail

Quality assurance” (QA) refers to the procedures for verifying that a software application meets the defined standards, auditing, and evaluation of a product at each stage of development—from requirements gathering all the way through testing and maintenance. But how can containers improve your QA processes as well?

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Case in point: taking stock of the CrowdStrike outages

CIO

But, as of January 28, the companys stock price was over $400, an all-time high, helped by a perfect score on an industry test for ransomware detection. And also by improvements to its quality control processes as CrowdStrike added a check for that particular problem after the outage, as well as other tests, deployment layers, and checks.