Software Testing Blogs Hotlist | Testing Feeds

The automation perspective of software regression testing involves considering the pitfalls and challenges such as suitability, priority, quantum, maintainability of the test suite, and doing away with false positives, among others.

QAOps is the next progression of DevOps and looks at embedding quality at the core of the delivery process. In variance to the DevOps approach where the development team takes centre stage, the QAOps approach pins QA at the core of the delivery value chain.

Security testing has assumed a critical role in the healthcare ecosystem with several benefits. These include validating the mechanism for the transmission and storage of data, identity management, and building trust and confidence for the software application.

An e-commerce testing process can benefit from setting up a Testing Centre of Excellence. The benefits can be in terms of optimizing operational efficiencies, achieving greater transparency, driving DevOps initiatives, realizing better test coverage, and ensuring better alignment of QA to the organizational goals.

AI-based automation testing helps the testing processes to achieve a slew of benefits. These include automated building and maintenance of test suites, predictive self-healing, visual validation, and cloud-based virtualization.

The different types of test automation frameworks include a linear automation framework, a module-based framework, a data-driven framework, and a library architecture system framework. The right type of framework should be chosen to achieve the right test outcomes.

To ensure the quality of the software product, software quality assurance is conducted comprising activities like planning, setting up the metrics, formal technical reviews, setting up multiple testing strategies, change control, report and documentation.

Cloud testing has become an inevitable component in the digital transformation process of business enterprises. It delivers a slew of benefits such as on-demand provisioning of test resources, no setting up of costly on-premise test environments, reducing CapEx, and accelerating the time to market, among others.

A robust Salesforce integration testing would entail the collation of test information, selection of the right test tools, following the naming conventions, ensuring total test coverage, and taking the agile approach, among others.

To pack a punch with the QA initiatives, business enterprises are utilizing AI-based testing to predict user behaviour, automate continuous testing, identify the root causes of glitches, and improve profitability, among others.