Software Testing Blogs Hotlist | Testing Feeds

A testing centre of excellence can bring myriad benefits to an organization. However, the setting up of such a centralized framework should be guided by proper test advisory to reduce cost, streamline processes, and ensure high-quality deliverables.

Software quality assurance is extremely important for the diagnostic tools as well as healthcare apps to offer 100 percent accurate results. The same can lead to better diagnosis and setting up of accurate treatment protocol.

Data hygiene should be maintained at all costs to prevent cyber attacks. It involves steps like encrypting data, putting security patches, carrying out vulnerability assessments, and enlightening stakeholders in following the best practices.

Digital transformation is the need of the hour for enterprises to improve productivity and deliver better customer services. The scale and quality of such transformation can be enhanced by leveraging AI and IoT technologies.

The software testing strategy for 2019 should see changes in view of a slew of developments. These include the growing use of IoT, test automation, AI and machine learning, big data, and a shift towards quality engineering.

Conducting software testing and following the quality assurance process in the SDLC enhances the quality of software and accelerates its time-to-market. Besides saving time and money, it also helps a company to retain the customer trust.

With cybercrime raising its ugly head and putting individuals and organizations at risk, it is imperative for organizations to implement cybersecurity measures including security testing of applications.

Software quality assurance is not the same anymore but has become an integral part of the development sprint. It has incorporated features like test automation, the use of AI and others to address the challenges of software development.

The Agile way of running a business should include the breaking of departmental silos, shunning the command and control approach, and changing people’s perspective.

AI tools can significantly enhance the level of software quality assurance leading to better test outcomes. They should be chosen with due care to achieve QA and cost optimization.