QASource Blog

The recent pandemic has led to a major lockdown across the globe. The IT industry is no exception - engineers are now working from home more than ever.

Most healthcare enterprise applications are loaded with critical data related to patients and the various organizations they serve. This can include health records, payment information, account details, and identity details. Due to the incredible sensitivity of this data, thorough software security testing is a necessity for healthcare applications so that critical information doesn’t fall into the wrong hands. By “wrong hands,” we mean criminals in the identity theft business, hackers skilled in malware and phishing schemes, and cyber-attackers aiming to hold critical files or your entire system hostage by ransomware.

Congratulations on purchasing your LMS! Now comes your next challenge: implementing this learning management system into your organization. It’s true that integrating your new system with your other technologies is a critical process. Fortunately, it doesn’t have to be a daunting experience. In fact, you can expect impressive results when you have the right team and detailed strategy in place.

Automation testing tools have the ability to automate JavaScript frameworks, provide smooth script execution with fewer false positives, ease the test script development, provide interactive reports, and offer easy maintenance.

There’s a reason why so many teams choose to follow agile engineering best practices. This streamlined process for software design and development delivers value in a variety of ways, including:

Within the development cycle, every team plays a key role. The software development team focuses on delivering code and the QA team focuses on product quality. With each team prioritizing a specific focus, going to market can only be a success - right? Not quite. Even with an issue-free product launch, the comradery levels across teams can be indifferent at best. In fact, many organizations would describe the relationship between developers and testers as a rivalry.

Text analytics is the process of transforming unstructured data into evocative data to understand feedback, opinions, and sentiments. Read more to know about Common Computational steps and our Text Analytics expertise.

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

A lot of conversations happen when an educational institution chooses an LMS. There are conversations on how your learning management system can deliver the best product to their users, conversations on shaping the partnership between your companies and conversations throughout the entire onboarding process. Conversations shouldn’t end after integration. In fact, it’s expected that your company provides support throughout the partnership, from launching new product features to confirming software functionality through ongoing automation testing of your content management system.