As DevOps transformation continues, the quality testing speed and agility are a big challenge that all enterprises are facing. Because of software complexity, the speed and mechanisms required to achieve the required quality are increasing rapidly.
Rapid release cycles require the professionals and technology in the business process to work together, including the testers. For organizations that have already adopted DevOps in large part, the release frequency is increasing from months to hours, making it a gigantic task to manually test each time. In order to keep up with the pace of change, it is necessary to automate the testing at each step. The test results guide the team in determining whether to progress to the next testing phase, approve the code for deployment to the production environment, or address any issues by identifying and fixing defects and rerunning the automation suite.
Continuous Testing Introduction – Key Features
Continuous testing model today can be deployed right from developer running unit test to Test engineers running a full fledged step wise test execution of Smoke, Functional and regression tests. It’s typically used as a way to ensure that a system is working properly, but it also plays an important role in production environments by providing an early warning system when problems occur. One effective way to achieve this is by integrating a rapid smoke or sanity test suite into the DevOps pipeline, which allows for regular health checks of the application. This also enables the roll-back mechanism to be triggered in the event of any issues, helping to maintain the overall stability and reliability of the system.
In development, continuous testing drives better code quality by eliminating defects before they happen. It also provides more accurate and timely feedback about the quality of software teach stage of development and deployment. Continuous testing allows developers to make changes quickly, with fewer errors, which means fewer bugs will make it into production—and fewer users will encounter them during their use of your product!
Continuous testing helps you maintain quality across all stages of development and delivery by taking advantage of modern tools like automated tests and continuous integration/continuous deployment (CI/CD)
Why should Continuous Testing be a part of SDLC?
There are several reasons why continuous testing should be included in your software development lifecycle (SDLC). Continuous testing helps improve quality throughout the entire lifecycle because developers have immediate access to feedback about the quality and can plan a mitigation strategy accordingly.
Some of the key features of Continuous testing include:
- Software tested continuously on the run
- Instant feedback and quality check
- Rapid fixes before the final release
- Shortening and amplification of the feedback loop
- Automation-induced savings in hours
- Builds confidence in stakeholders about the quality of the product
- Quicker decision-making for the next steps based on test results
Bitwise offers best-in-class testing and automation solutions that help businesses increase productivity, reduce costs, and improve efficiency. We integrate continuous testing into our DevOps pipelines, ensuring that test cases are included at every stage of the pipeline.
Find below some of the top-notch solutions offered by Bitwise for an efficient Continuous Testing approach:
Incorporating automated smoke testing into the Continuous Integration (CI) process helps developers ensure that the code they write is completely stable. We then add regression suites for each stage of development, which allows us to run tests against a specific version of the software at any time during development. This enables us to catch bugs early and quickly identify them as they enter our production environment.
We use virtual machines (VMs) and multiple virtual environments to run smoke and regression tests leading to parallel executions, resulting in optimized quality and velocity while reducing cost and effort.
Achieving continuous testing requires an agile approach, which means that the software is built in such a way that it can be tested with regular updates throughout its lifecycle. Here the system components are constantly being modified and updated to meet new requirements.
Why does Bitwise club Shift Left and Shift Right Approach in Continuous Testing Methodologies?
Our continuous testing model clubbed with our emphasis on the Shift Left approach where QA test cases are leveraged by Development partners to increase unit testing coverage, aimed at ensuring lesser defects are detected during QA functional/regression cycles. The main aim is to ensure the quality of the product is maintained and improved over time.
We pay equal heed to shift / strengthening right, where the emphasis is on Failover, Performance and Security tests for complete Quality Engineering.
We emphasize early detection of defects as a quality strategy. Our strategic quality model combines early defect testing with automation and continuous delivery, to provide high-quality assurance.
Continuous testing is a core competency of Bitwise. Regardless of whether your are building a cloud-based project or an existing legacy system being migrated to the Cloud, Bitwise has focused on continuous testing approaches for enhanced Quality Engineering at every layer of the application – be it Data, API/Service or GUI. This includes custom-built automation accelerators and tools that can be used to ensure quality across all layers of the system.
Bitwise has been an industry leader in the next-gen data-driven digital world for 25+ years. We come with deep expertise in Consulting, Application Delivery and Maintenance. With our IT services, we have helped several start-ups to Fortune 100 companies speed up their time-to-market and deliver high-quality products.
Do you want to know how Bitwise can assist in bringing velocity to your business operations with comprehensive testing solutions? To find out, get in touch with our experts at: Contact-us Page
Senior Project Manager
Has experience of 13 years working on Test Engineering/Quality Engineering/Quality Assurance projects. Experience in leading variety of custom test automation solutions covering areas like ETL, UI and API test automation aligning with the customer need ranging from Test automation using open source technology, test automation leveraging famous tools in the market inclusive of the non-functional aspects of the applications
14+ years of experience in Test Engineering field across several domain like Payments, Publishing, Health care. Experience in running end-to-end Test Engineering Projects providing Process & Custom Automation solutions across all areas including Data, Middleware, UI.