Manual or automated software testing

Manual and automated testing are essential for the software development process; they serve as a filter that helps us define the quality of the product. But, what is the best option?

See more articles

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.

We Warned You in Our Webinar, and Bre-B Confirmed It

There is no way to guarantee that a participant in an interoperable payment ecosystem will never fail again; that exceeds what any single institution can control.

Autonomous AI Agents Making Purchases: Who Is Liable When They Fail?

Applying agentic AI to payments requires the exact same level of rigor as any system handling third-party funds—extended to a type of actor that did not exist two years ago: one that decides and executes, rather than merely recommends.

680 customers exposed without a single line of code being breached

The same neobank that just received its full banking license in Colombia confirmed, three days earlier, a data breach that didn’t involve a single hacked server.

Everyone’s selling AI as a way to go faster. Science says almost no one has succeeded

The institution that takes this scenario seriously and builds the discipline of measurement, governance, and continuous testing necessary to respond to it with evidence will not only avoid the error that science has already documented.

AI agents are already operating within Mexican banking. Who holds the accountability?

Mexican banks and insurers already have artificial intelligence agents with active permissions inside their systems; however, adoption is outpacing the corporate governance meant to control it.

Manual or automated software testing: Which is the better option?

Both have their pros and cons, so let's analyze the differences to see which is the best option for your project.

Manual testing

Manual software testing is conducted through human interaction with the software. Testers follow a set of test cases to ensure that the software functions correctly and without errors. This process involves time and effort, as testers must repeat the same actions over and over.

Some advantages of manual testing include:

High attention to detail from the tester.
They are more flexible because they can adapt to changes in the software.
Time and cost savings when it comes to exploratory and ad-hoc testing.

Automated testing

Automated software testing is performed using software tools like Selenium or Appium. It is faster and less prone to human errors than manual testing. These tools can simulate user interactions and verify that the software responds as expected with a high rate of interactions in less time.

The main disadvantage of automated testing is that if the software changes, the automated test scripts also need to change. Additionally, automation tools may not detect issues related to usability and software design, where human skill is necessary.

If you want to learn how to perform manual or automated software testing, you can easily do so with our training service. Alternatively, if you need to test your corporate application, feel free to contact us.

Which is the best option?

Depending on the specific project and its requirements, manual and automated testing have strengths and weaknesses. In general, manual testing is more effective for small projects or those where usability and design are particularly important. Automated testing is more effective for large, repetitive projects, where manual testing would consume too much time and resources. Ideally, defining a comprehensive testing plan that allows for a combination of both types of testing yields the best possible result for the product and achieves customer satisfaction.

Colombia

Bogota Headquarters

Espain

Madrid

USA

Miami-Florida

Mexico

Mexico DF

Panama

City of Panama