A dysfunctional software application is a major irritant for your users and clients, and can affect your company’s reputation. Don’t risk going to launch without the peace of mind that comes with a solid quality assurance program supporting the entire software development process. You can enjoy the confidence of launching the best possible version of your application, rather than wasting valuable time and resources later on fixes for usability and stability, or security updates.
Spiria offers complete quality assurance services for the applications we develop for you, as well as for those developed by your own teams or third party suppliers. Our skilled QA team helps you improve your own quality processes and provides expertise in automated functional tests. We can build any UI and API automated test to address any issue. We have developed our own automation frameworks, based on Java, Junit, JavaScript, Python, Pytest, Protractor, Cypress, Selenium and Appium, (which can be deployed via Docker), to respond quickly to the most common requirements.
Our experts and analysts ensure the proper implementation of good quality assurance practices—according to your needs and objectives—throughout the development of a product. They offer you the most relevant technologies for detecting functional anomalies that could appear in any given iteration, freeing you from the costs of discovering bugs too late in the development cycle.
Our range of QA services covers all the bases: consulting and analysis, software quality audit and assessment, testing strategy, test automation, continuous integration (CI) and continuous delivery (CD) processes, manual testing, pairwise testing, API testing, UX/UI testing, exploratory testing, functional testing, accessibility verification, user acceptance testing (UAT), security validation and performance testing, and more.
When creators think up a new product, they often include a thousand and one features to make it engaging and totally unique. Unfortunately, the resulting beast is often huge and unwieldy.
Today’s high core-count processors require parallel algorithms for programs to run fast. To achieve this, asynchronization and future values are not a reliable solution.
One of the challenges of writing multithreaded code is that it is often necessary to share data that was not designed to be used by multiple threads at the same time. In this blog post, I want to show two approaches to protect such data: duplication and wrap.
