The 5 most used tools in software quality.

The quality of software is a crucial aspect in the success of any development project.

See more articles

AI-generated code is plausible by design; correctness has to be engineered

The tool alone isn’t enough. What makes an agentic process reliable is how the model is governed and who works alongside it—and even the best model on the market falls short of that on its own. Learn how to build a reliable process.

Ten trends for 2027, one pattern: every agent needs a human by its side

On October 20 in Orlando, Gartner presented its top ten strategic technology trends for 2027. Six of them directly touch the three core capabilities of our portfolio. This is our perspective—from the teams doing the work every day.

The Agentic AI Balance Sheet That Every Financial Committee Must Consider

The principle underlying all three is the same one that guides our value proposition: accelerating innovation and driving productivity only make sense if it yields measurable results for the business.

What holds AI back in Latin America is neither cost nor access

On October 6, the World Bank. On October 20, ECLAC and Chile’s National Center for AI. Two distinct assessments reached the exact same conclusion: the bottleneck lies not in the tool itself, but in the organizational capacity to absorb it. An academic concept originating in 1990 brings order to what today’s numbers describe.

Mexico claims to have saved 14 billion pesos by building its own software. The other half of the bill is missing

Organizations currently celebrating what they avoided spending will, in a year or two, have to account for what it costs to maintain what they built.

77% of large enterprises trust that they know all their AI agents. Only 44% have a way to prove it

The challenge is not merely implementing AI agents. It is knowing precisely which ones are running, who bears accountability for them, how their outputs are validated, and how swiftly they can be shut down when something fails.

Software quality

Software quality is a crucial aspect in the success of any software development project. To ensure its functionality, it is necessary to use appropriate tools to identify errors and optimize performance.

Below are the 5 most used tools in software quality:

Software testing tools help conduct tests for functionality, performance, and security, significantly reducing the time and cost of manual testing. Among the most popular testing tools are Selenium, JUnit, and TestComplete.
Version control tools are essential for software development, allowing developers to work on different code versions simultaneously while maintaining a record of all changes made. Git, SVN, and Mercurial are the most well-known version control tools.
Code analysis tools are used to identify issues in the software's source code. Tools like SonarQube, ESLint, and Checkstyle are helpful in enhancing security, improving programming practices, and fixing errors.
Defect management tools enable developers to monitor, prioritize, and resolve errors efficiently. The most commonly used tools in this process are Jira, Bugzilla, and Mantis.
Test automation tools allow developers to automate desktop, web, and mobile testing more efficiently in terms of time and cost. Selenium, Appium, and Katalon Studio fulfill this function.

Colombia

Bogota Headquarters

Espain

Madrid

USA

Miami-Florida

Mexico

Mexico DF

Panama

City of Panama