QASource Blog

It is essential to test your medical devices for accurate diagnosis, prevention, and treatment of illnesses. Various factors like regulatory norms, cyberattacks, or software glitches can affect the functionality of the medical device. Hence, to ensure high-quality output, quality assurance and quality control have become the need of the hour in medical device testing.

While companies rely on robotic process automation (RPA) using computer-coded rule-based software robots to automate repetitive activities like reading emails and documents, understanding speech and analyzing language, the growing complexity of organizational processes and spread of digitization has necessitated the implementation of AI to help robots resolve inconsistencies, perform cognitive tasks and resolve uncertainties.

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.

Software development and testing are complex processes that require the extensive knowledge and expertise of developers. This is especially the case for teams who are eyeing to implement behavior-driven development (BDD). There could be various techniques and strategies to simplify the process, but the outcome will also depend on the efficacy of the former.

In a recent report, Juniper Research states that more than 33 billion records will be stolen by cybercriminals by 2023. Hence, effective cybersecurity testing becomes even more important than ever. It protects all categories of data like sensitive data, personally identifiable information, and protected health information, from theft and damage.

You may have just moved your data warehouse to this amazing new solution called Snowflake. This platform is designed to allow data teams to store and use company data easily.

XaaS takes into consideration the number of products, tools, and technologies that vendors deliver to users as a service over the network. In this Technocast, check out how QASource can help you with XaaS testing.

The future of healthcare is digital. Although, services like telehealth appointments and electronic health records have become the industry norms, providing these services alone are not enough to stay ahead of the competition. It is equally important to invest time and effort to test your medical devices for accurate diagnosis, prevention and treatment of illnesses due to the increasing complexity of software embedded in these devices. Various factors like regulatory norms, cyberattacks or software glitches can affect the functionality of medical devices, and hence, to ensure high-quality output, quality assurance has become the need of the hour.

Testing a code on real user traffic may produce insufficient data that cannot be used to make conclusions, making testing in production (TiP) seem very difficult to testers and developers. However, QA experts believe that testing in production becomes a crucial part of progressive delivery when planned and carried out effectively, focusing on software quality and release speed.