Software Testing Blogs Hotlist | Testing Feeds

The successful run of API testing in a DevOps environment is essential to establish a seamless communication between applications and systems. This eliminates errors and leads to the building of robust and functional applications.

DevSecOps is the new model of software development (and delivery) with security being integrated into the whole rigmarole to plug vulnerabilities and create an overall security culture.

Test automation in Agile and DevOps testing can bring about a host of benefits – both to the developers and end customers. They can help the business achieve Continuous Integration and Deployment on a consistent basis.

To ensure a rich customer experience, businesses should implement the DevOps approach in software development, testing, and delivery. An overall quality culture needs to be inculcated as a part of that initiative with CI/CD as the outcomes.

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.

Software quality assurance should be robust enough to identify glitches and meet the customer experience. It should be suitably redefined to incorporate the latest methodologies and technologies.

Software product testing has undergone many changes owing to factors such as increased competition and changing customer preferences. The changes help to deliver a rich customer experience.

Artificial Intelligence and machine learning can help address the growing complexity associated with QA by writing and executing automated codes and predicting the users’ needs.

The complexity surrounding software quality assurance is increasing by the day. AI can help in optimizing the processes leading to better quality products and realization of ROI.