Deliver high-quality applications with testing executed at speed and at scale.
What is Continuous Testing?
Continuous Testing is an approach to app testing that enables testers, developers, and stakeholders to continuously validate web and mobile apps against the planned requirements and quality standards of the software development lifecycle. It uses test execution integrated with the CI/CD process to give rapid feedback of the quality and release readiness of the application under test. Continuous Testing works by integrating software development and testing activities with as much automation as possible.
How is Continuous Testing used Today?
Organizations are continuing to integrate continuous testing into their delivery pipelines. The goal is to automate testing, reduce the complexity of continuous software testing and avoid integrating and managing other specialized tools. The demand for optimally performing apps, and faster product releases, is driving the change as organizations emphasize improving the user experience while enabling their own digital transformation.
The continuous expansion of digital transformation both challenges and enables business execution. QA and testing teams are adopting processes and tools to integrate continuous testing into the entire SDLC to better identify and eliminate defects during development. Challenges arise when bottlenecks in the process lead to development and release setbacks.
As continuous testing methods continue to be adopted by organizations, choosing the right tool to coordinate across teams and align processes is essential. Increasing communication and collaboration across stakeholder, developer, and testing teams will help improve web and mobile app quality while increasing release velocity.
Continuous Testing is an essential part of the SDLC, that must be used to help web and mobile apps get to market faster while eliminating defects along the way.
Challenges
- Shorter development cycles mean that testing bottlenecks can delay the time to market
- Fragmented testing environments and tools impact release quality and velocity Defects need to be discovered early in the development cycles
- Test coverage must be maintained in the face of changing requirements
- Defects need to be discovered early in the development cycles
- Communication between stakeholders and testing teams needs to be open and consistent
The latest Continuous Testing features and functionality aim to save time and increase quality by simplifying test creation and development and putting that power in the hands of non-coding team members. The intended outcome of this development is to improve communication across teams for improved collaboration and productivity.
Digital.ai Continuous Testing takes a Shift-Left approach to test development, management and analytics. The result is a platform that connects software development and delivery efforts to business outcomes.
Deliver high-quality applications with testing executed at speed and at scale.
Digital.ai Continuous Testing is a manual and automated testing solution with capabilities that cover functional, performance, and accessibility use cases. All testing including performance, network, and accessibility is executed within the context of functional testing and the solution is easily scalable for faster feedback. Testing is executed via real devices in the testing cloud (on-premise, SaaS) that supports global teams across multiple regions. Cloud managers have oversight and visibility into test resources by distributing devices per team, project, and user. When combined with the Digital.ai Continuous Testing Lens users can seamlessly collect, and analyze, standardized metrics to present actionable insights and root cause analysis.
When implemented Digital.ai Continuous Testing accelerates automation in testing cycles by performing large-scale test execution on multiple browsers and devices in parallel. Functional, performance, and accessibility issues are easily identified with debugging tools and quickly fixed after introduction. Features like the Test Editor puts accurate test creation, validation, and management capabilities in the hands of non-coding team members. This is aided by the increased interoperability with existing development tools and IDEs, testing frameworks, and CI environments. It all adds up to more effective collaboration between development and teams responsible for functional, performance, and accessibility testing.
The outcomes that Digital.ai Continuous Testing customers enjoy start with higher developer and testing team productivity. Projects are effortlessly scalable, and the time, effort, and cost required to fix defects will reduce. Testing cycles will run faster, and the time to market will reduce. The result is improved app quality and overall customer experience which leads to higher customer conversion rates and lower churn
Key Benefits
Faster Releases
- Continuously test functional, performance, and accessibility scenarios
- Test on a matrix of devices and browsers with a variety of manufacturers operating systems
- Execute all testing from the same tool within the context of functional testing
Simple Test Creation
- Record test scenarios faster with a click, and export them to your IDE in any language
- Give non-technical users the ability to create their own automation tests
- Use debugging tools to eliminate defects directly from the execution window
Enterprise-Grade Infrastructure
- Use a private, or shared cloud of devices and browsers to enable testing anywhere
- Manage devices, browsers apps and permissions from a centralized hub
- Private and public cloud devices, are hosted in our ISO 27001 and SOC-2 secured global data centers
Key Capabilities
Test Development
Write robust, stable test scripts with advanced identification methods such as XPath and Object Spy.
Test Editor
Create, edit, verify and manage tests from a shared database, without needing any coding skills.
Large-Scale Execution
Execute tests in parallel on multiple browsers and mobile devices all from one platform.
Analytics
Gain end-to-end quality insights and drive improvements with Digital.ai Test Analytics.
Performance Testing
Analyze performance by simulating different servers, measuring transactions, and speed index to deliver.
Accessibility Testing
Test voiceover and gestures to deliver accessible website and application experiences for people with disabilities.
Lab Management
Manage test projects by granting remote access, monitoring execution progress, and sharing usage reports.
What are the Keys/Qualifications for Successful Testing?
- Test automation is important to the success of a CT project
- Continuous Testing needs to be integrated with and part of the SDLC from the get go
- Collaboration between developers, testers, and stakeholders ensures everyone is aligned on objectives
- Test coverage needs to expand to include all scenarios and types of testing
- Test data management allows teams to validate their apps against different data and scenarios
- Continuous improvement means that testing processes and approaches will refined continually so teams can stay ahead
- Continuous Testing must be supported by great tools and infrastructure to support it such as frameworks, automation tools, and CI/CD tools
Where should Continuous Testing be Utilized?
There are many web and mobile app development contexts for Continuous Testing to be utilized. Web and Mobile App Development - uses continuous testing to validate web and mobile application functionality and performance to ensure the software meets business and quality requirements.
When used in Agile development, it is integrated into the development process to provide rapid quality feedback to developers, testers, and stakeholders.
Using Continuous Testing with DevOps methods helps ensure that your web and mobile apps are fully tested and validated before deployment.
Each context has the following in common. Continuous Testing helps enterprises deliver high quality software at speed and at scale by providing rapid code quality feedback to ensure that web and mobile apps meet business and quality requirements.
How does Continuous Testing Integrate with DevOps and/or Agile Processes?
Continuous Testing supports both Agile and DevOps goals and objectives.
DevOps – Continuous Testing is essential to DevOps methods. The emphasis is put on rapid feedback and continuous improvement so DevOps teams use it to validate changes during testing before deploying to production
Agile – Continuous Testing provides dev and stakeholder teams with rapid feedback on software quality. It is seen as a process that is integrated in the entire SDLC, and supports the principle of continuous delivery.
Can Continuous Testing be Automated?
Digital.ai Continuous Testing has automated testing capabilities that are available for functional, performance, and accessibility testing. If you can automate the test we can help you run it. Automated testing is executed as part of the CI process and gives fast feedback on code changes, quality, web and mobile app performance and accessibility compliance.
Digital.ai Continuous Testing helps teams increase test coverage and make data-driven decisions so they can deliver high-quality, error free web and mobile apps on time and at scale.
Whatever the maturity of your continuous testing process we will meet you there to help you release high quality web and mobile apps at scale and on time.
The Digital.ai Difference
UNIFIED DEVOPS PLATFORM - Integrate DevOps & Security capabilities to enable continuous delivery of software
POWERED BY ARTIFICIAL INTELLIGENCE - Generate predictive insights that provide the intelligence to make smarter investments
CONNECTED TO THE ENTERPRISE - Connect to existing processes, applications and infrastructure to propel innovation that find new market opportunities
