Competency
At Testify, we combine deep professional expertise with innovative testing methods, enabling you to deliver stable, efficient, and risk-reduced digital solutions.
Automation Enables More Frequent Deliveries and Reduces Errors
Testify is a specialized consulting company in software testing. We are leaders in technology and methods for technical and automated testing – providing solutions that go beyond what traditional testers and test managers deliver.
- Our consultants are experts in:
- Technical test management and methodology
- Test development and automation
- Advanced testing tools and techniques
Most of our team members have a development background and strong technical profiles, with solid experience from complex projects and mission-critical solutions.
Automated Testing
Automated testing at all levels—from unit tests to end-to-end testing—is essential for delivering new functionality and bug fixes continuously, while reducing the risk of costly production errors.
Both functional and non-functional requirements must be covered by automated tests in an efficient and maintainable way. We have the experts who can show you how, drawing on deep professional expertise and experience from numerous large and mission-critical projects across both technical and administrative domains!
Model-Based Testing
With model-based techniques, we can even automate the test automation process! The result is higher test coverage in less time, easier maintenance of test code, more accurate and precise requirements, and more effective collaboration between functional specialists and developers, who gain a shared understanding of the system under test.
In many cases, the models can be relatively simple, yet they are also capable of representing more complex systems, achieving a level of test coverage that is simply impossible with traditional techniques. The more complex the system under test, the greater the benefits of adopting model-based testing!
Several of our team members have extensive formal and practical experience in this area and can help you get started. Model-based testing is not just one technique—it can range from very simple models with associated test case design to complex models of, for example, distributed real-time systems, where automated code generation and verification of properties such as safety, latency, and security are central. One example of a relatively simple but highly powerful model-based testing tool is our own open-source tool.
Smart Testing with Machine Learning
With our deep expertise in machine learning, we deliver a range of solutions to streamline and improve testing.
Using machine learning, we can analyze large datasets and create solutions that enable smarter testing! This includes fault prediction for more focused and risk-based testing, test selection for regression testing and retesting, generation of test oracles that automatically analyze test results and provide pass/fail assessments, automated security testing to detect vulnerabilities, generation of large volumes of “rich” synthetic test data, grouping and analysis of test results, and much more.
Several of our solutions have been published in international conferences and journals.
Test Data Generation
A key prerequisite for successful testing in general, and automated testing in particular, is the ability to create high-quality, representative, and complex test data that covers the variations and volumes needed to achieve good test coverage. This applies equally to both functional and non-functional testing.
Several of our team members have specialized expertise in this area and have worked with generating synthetic test data using machine learning techniques, domain-specific languages, rule-based anonymization techniques, and more.
We have also conducted an Industrial PhD project on test data generation in collaboration with public agencies in Norway.
