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artificial intelligence / machine learning

Changing the definition of software testing in the AI era

AI-driven software requires an updated approach to software testing.

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A comprehensive guide to A/B testing

A/B testing is the strategy to showcase two (or more) different versions of product to different users. User A sees the product version A, and user B sees the product version B. When done on a sufficiently large user base, metrics...

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10 signs your automation is in trouble

Let’s face it, automation isn’t cheap, but done well it can make your testing effort far more efficient and help you get to market faster. When done poorly, however, it can burn through your budget without providing any real benefit....

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Tighten security with better software development

Security threats and security solutions both depend on software. One way to safeguard your systems and data is to take a secure approach to software development that focuses on quality assurance, testing and code review.

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My indifference-hate relationship with Gherkin

One reason I kind of like Gherkin, plus the numerous reasons I don’t.

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Bad migration experiences leave IT bosses gun-shy

IT pros are hesitant to take on migration projects because a previous one left a bad taste in their mouths. However, they may only have themselves to blame for that.

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The truth about bug finders: They're essentially useless

Today's popular bug finders catch only about two percent of the vulnerabilities lurking in software code, researchers have found, despite the millions of dollars companies spend on them each year.

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Record & playback automation: It’s a trap

Critical look at the pros and cons of leveraging record and playback test automation.

mit bug finder ruby on rails

What's old is new again with MIT's latest bug finder

Debugging code is a perennial challenge in the software-development world, and on Wednesday scientists announced a new technique that promises to make significant strides.

mit bug finder ruby on rails

MIT's new bug finder uncovers flaws in Web apps in 64 seconds

Finding bugs in Web applications is an ongoing challenge, but a new tool from MIT exploits some of the idiosyncrasies in the Ruby on Rails programming framework to quickly uncover new ones.

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