Our solutions include,
but are not limited to:
Web test automation
Mobile test automation
Performance testing
API & Server side test automation
TestOps and
DevOps
Development of tools and solutions
Scripts implementation
Tools of evaluation and assessment
Infrastructure setup and TestOps
Custom frameworks and tools development
Continuous integration and continuous delivery
Review and audit test automation solutions
Testing types we provide
Functional testing
Perfomance testing
Penetration testing
Localization testing
UX / Usability testing
GUI testing
Compability testing
Regression testing
Integration testing
Level of engagement
Co-managed testing
Fully-managed testing
Outstaffing
Frequently Asked Questions:
This is the process of creating launch, control, and analysis results of digital product testing scenarios. This method is used everywhere to accelerate project work and ensure a 100% pass rate, the validity of results, and coverage of all testing tasks regardless of code size and overall project scope. Advanced tools such as Selenium, TestCafe, Ranorex, and more advanced NLP complexes or systems are used for its implementation.
This QA model also provides developers with relevant information about the current state of the product, allowing them to fix critical bugs in time and preventing them from reaching the final release.
Using algorithms in scenarios, the digital solution is examined for bugs in code, modules, integration protocols, functionality, interface, and more. This makes it possible to parallelize tests by testing several target platforms simultaneously and analyzing the results. This significantly speeds up the process of working on the project and increases the chances of detecting problems early in development.
For most current projects, test environments are deployed in the cloud, reducing resource costs and speeding up the process. By leveraging server capacity, maximum productivity is achieved, allowing the project to be completed just in time.
The cost of projects is calculated based on the following factors:
- the scope of the project;
- number of tasks;
- the size of the team;
- skill level of each specialist;
- geolocation of the contractor;
- types of tests;
- the comprehensiveness of services.
This is the reason why it is almost impossible to calculate the price of the work in advance, especially if the project is developed using Agile methodology, where the code and app components can change at any time at any stage.
The median cost of a small project can be up to $20,000, a medium project up to $50,000, and a large-scale project over $100,000. It is considered that the price of testing is 20% of the total project cost, i.e., the cost of hiring a team, technical stack, and licensing.
In all of them without exception. The larger the project, the more checks need to be automated to achieve 100% task coverage. Creating scripts solves the most complex and routine processes. This allows the QA staff to focus 90% of their time on validating the results and taking action to eliminate the detected errors.
Whether it’s a web app, website, mobile, or desktop software, you need to automate as many tests as possible to achieve the highest quality results. This applies to functionality, interface, performance, or code. With algorithms in scripts, you can cover 100% of the actual tasks, reducing the resource costs of maintaining a large staff of QA masters.
There are such common types:
- Functional.
- Unit
- Integration.
- Smoke.
- Non-functional.
- Security.
- Regression.
- Keyword-driven.
- User’s.
- Performance.
- Acceptance.
- GUI.
All of them can and should be automated to ensure the best possible result. Each test is performed manually before automation, which minimizes the chances of errors within the scripting code.
Using automated algorithms reduces resource consumption, allows parallelization of tests for different platforms, and thus speeds up the process. Using automation, QA experts can focus their efforts on solving critical problems while analyzing the results of routine tests.
Did you know that some IT projects fail at release due to poor optimization or bugs? We strive to save our clients from such an unenviable fate by:
- maximum involvement in the project;
- extensive experience in the QA industry;
- personal responsibility of each team member;
- skills and knowledge of Agile, DevOps, and TestDevOps development methods;
- use of advanced tools, including advanced NLP.
Our team consists of 30 test automation experts, where more than 60% are Seniors. In 7 years on the market, we have successfully completed more than 40 projects for clients worldwide. We have faced different technical stacks, short deadlines, and demanding customers. And despite all the challenges, we continue to work, providing your products with the best QA in the world.
