Your company may not be sure what type of testing or practice it needs or whether a project is long-term or short-term.
However, internal teams can identify the challenges holding back quality progress. Sofist also has solutions for this vision.
Quality Culture is a set of norms, values and behaviors that represent quality as an intrinsic part of the strategies and practices of the software development cycle. If your company doesn't already have this ingrained, Sofist can help transform this mentality.
The benefits of developing a quality culture are numerous and range from increased productivity to improved customer experience and team alignment.
In companies without a quality culture, we easily see teams without collective responsibility and ownership, with separate work and developers not testing their own code to delegate the whole process to QA, as well as miscommunication between key people.
By investing in upskilling, your company can see a drastic reduction in bugs in production and save the team time by increasing their skill in software quality practices.
90% of defects found in the pre-production environment
At Sofist, we understand the challenges faced by companies in guaranteeing the quality of their digital applications. The growing complexity of systems and the need to deliver fast and reliable solutions require new approaches. That's why we've started integrating Artificial Intelligence (AI) into our software quality engineering practices, delivering results with efficiency and precision.
Our AIs act as an expert advisor, bringing detailed insights into the context of use, identifying anomalies and generating detailed reports in real time. In this way, we speed up processes, helping to reduce time-to-market and promoting the concept of shift-left, allowing problems to be detected and resolved earlier in the development cycle.
With this new look, problems that previously required hours of intensive work are solved in minutes or seconds.
This not only speeds up the development cycle, but also frees up your teams to focus on innovation and continuous improvement, rather than being stuck with repetitive, time-consuming tasks.
In addition, our approach reduces the cognitive load on teams, allowing them to focus on higher value-added tasks and strategic decisions.
75% reduction in technical report generation time
Many important alerts can go unnoticed when your team is building new features in a system, but existing functionalities are breaking and frustrating the user.
To avoid this gap, you must define and follow a regression testing strategy. Yes, a strategy involving not just manual and isolated tests, but mainly automated tests!
After all, is it better to have 200 tests that cover 50% of a system or a thousand that cover 10%? Strategy also means thinking about the testing pyramid and ensuring the right balance between the different types of tests.
Maintaining the correct behavior of the system's functionalities can prevent the introduction of new bugs or regressions in your digital product! With Sofist's support in developing an automated regression testing strategy, your company guarantees stable, quality applications after new modifications.
By developing a planned regression, you can increase test coverage, automate critical scenarios, and integrate them into the development pipeline.
96% of critical front-end scenarios fully automated and with a 100% success rate in execution
Do you have automated tests run very infrequently, once or twice a week? Are your tests only run on software engineers or quality analysts' machines?
The fact is that automated tests that are not used continuously are of limited value! To have speed and confidence with each new version release, tests must be run more frequently, especially with each code change.
Sofist strategically supports companies in including automated testing and static analysis solutions in their development pipeline(s).
In this way, your company maximizes the value obtained through test automation practices, guaranteeing continuous quality and the integrity of your applications throughout their lifecycle.
467 test scenarios in the service layer built and executed in 9 minutes at each pull request (PR) from the development team
Timely validation is a common challenge for many technology companies, which must ensure the quality of their solutions quickly and efficiently, whether in emergencies or scheduled situations.
At Sofist, we have developed the One Day Testing (1DT) method, inspired by the agile testing concepts used by leading companies such as Google and Microsoft. This method provides independent, professional feedback on software quality quickly and effectively.
Our method is applicable in various situations, such as restricted budgets, where testing and quality activities are often neglected due to financial constraints. It is also useful when a lack of time for testing is a recurring problem or when the release is urgent.
Another important application is for overloaded teams, where testing activities are often sidelined due to the pressure of development deadlines, or even for companies that don't have a dedicated testing team due to high costs.
Finally, 1DT is ideal for companies that need an independent and professional second opinion. An external, unbiased view can identify problems that the internal team may not realize, allowing effective corrective action and potentially determining the success or failure of a project or product.
More than 2,000 projects successfully delivered using our unique method
Imagine that your company needs to innovate and keep pace with deliveries. However, the essential tasks, despite making progress, hide all the liabilities left behind. These could be due to an undersized team or a lack of time, but it's your team's responsibility to manage and mitigate these risks.
Just as with economic logic, technical debt also accumulates over time, leading to hidden costs that can severely disrupt your operations. Ignoring its management can lead to a host of challenges, from development delays to quality issues that directly impact your bottom line.
Technical debt can also be linked to the testing pyramid, a concept that simplifies the types of tests performed, their levels, speed of implementation, and complexity.
If your team handles a thousand UI tests and needs to optimize this count to 200, for example, but needs more availability and time for this mission, there is a technical debt problem. Therefore, readjusting the pyramid and balancing it between unit, integration and interface tests can become a significant challenge.
By reducing technical debt, it is possible to free up internal team time to focus on the business, increasing coverage in legacy systems and facilitating code maintenance.
Automation of 130 test scenarios executed in 15 minutes