Improving digital experiences through increased coverage and accelerated cycles

Digital transformation is reshaping the SDLC, necessitating quicker, more frequent releases on diverse platforms due to growing customer expectations. As the SDLC compresses, testing must also accelerate. Facing a competitive landscape where reputation and revenue are on the line, organisations require agile, scalable testing to guarantee timely, flawless digital product launches.

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Accelerating Quality Assurance

As a leading provider of test automation services, we’ve seen this growing need for more comprehensive, quicker testing increase the demand for automation. Compared to traditional manual testing, automated testing allows for a greater number of paths to be tested, improving coverage significantly. It offers a way to accelerate time to market while reducing errors and risk, ultimately creating a better digital experience for users. When implemented properly, test automation technology can help a Quality Assurance (QA) team:

Run tests 24x7

Decrease test scripting efforts

Reduce the burden of routine testing tasks

Execute in parallel to run thousands of continuous tests at the same time

Eliminate human error and knowledge limitations

Ensure tests are done in a consistent manner every time

Increase confidence in the quality of new releases

Introducing automation is not just about implementing the technology. It requires staff with expertise in both the tool(s) and embedding it within an organisation’s test strategy. Everything cannot be automated—knowing when and where automation can bring the most value is important to maximising results and ROI.

Regression testing

Regression testing is necessary with each release to ensure that nothing was broken when adding a new layer, maintaining code quality. These frequent, repetitive tests can be dull and overwhelming for testers to perform manually with their limited bandwidth, making them ideal candidates for automation. In turn, this allows testers to focus on the scripts that cannot be automated.

Agile/DevSecvOps

Agile/DevSecvOps has given rise to continuous testing, which involves running automated tests at every stage of the SDLC instead of at the end. With an accelerated time to market, it’s critical for developers to get feedback as quickly as possible. By finding and correcting bugs earlier and often in the process with these automated tests, organisations can mitigate the risk involved in each release.

Testing across all configurations

The scale of what an organisation needs to test for one product has dramatically increased as products are released across multiple platforms on different operating systems, browsers, screen sizes, resolutions, etc. This means that every test must be run across all of the configurations to ensure quality regardless of how a user accesses it. An organisation that relies on manual testing simply won’t be able to keep up as digital footprints continue to expand. Automation can help lighten the burden by conducting these repetitive tests consistently across all scenarios.

End-to-end testing

End-to-end testing—testing the entire workflow from start to finish—is critical at a time when creating a seamless user experience is more important than ever. But workflows can be complex, especially when considering the other systems an app integrates with, and there are virtually limitless paths that a user could take. Automation can help create and run thousands of tests, significantly increasing the coverage while saving time.

Synthetic data sets for testing

Automation can help create synthetic data sets used for testing. Industries like banking need transactional data to perform testing, however, they cannot copy production data due to privacy regulations. Automation can create the data sets required for testing, saving time and effort.

Intelligent Test Automation

Test automation leveraging AI and ML, such as Eggplant Digital Automation Intelligence (DAI) by Keysight, enhances coverage efficiently and cost-effectively through a model-based approach. This involves creating a digital blueprint of the application, mapping all touchpoints and potential user paths for testing. AI analyses this model to uncover missed paths and generate relevant test cases, moving beyond traditional linear testing to focus holistically on user experience.

Increase coverage by testing user journeys not previously considered

Accelerate test case creation and execution

Reduce risk by optimising testing coverage to find more defects

Analyse applications to identify patterns of defects and prevent them in the future

Free up testers to perform exploratory testing, and even automate exploratory testing

Predict the impact of new versions before they are released

Track actual user journeys to ensure real customer paths are optimised

By leveraging intelligent test automation, organisations can:

Comprehensive Testing Program

Organisations thrive with automation that complements their wider testing strategies. Manual testing shifts focus to tasks that automation can't handle and to complex, changing applications. Crowdsourced testing, ideal for those with many websites and apps, offers a cost-effective way to enhance testing through a global network of freelance QA experts. This method enables testing in real-world scenarios across different devices, operating systems, and languages, providing critical insights into user experience and usability from a neutral standpoint.

Partners

Cegeka partners with industry leaders to help you meet increasingly specialised technology requirements while keeping pace with accelerated digital transformation demands.