Success Story: SINCO ERP

SINCO ERP is the leading company in Colombia for integrated management software for the real estate, construction, and road infrastructure industries. To maintain their leadership, their development team must be agile and respond quickly to market changes. However, their QA team, composed of functional analysts with no programming knowledge, was facing a bottleneck with manual testing, which slowed down releases and allowed errors to slip into production. They needed a way to automate without having to hire programmers or distract their development team.

Success Summary

Client: SINCO ERP, a leader in construction software in Colombia.

Challenge: A slow, manual regression testing process, executed by a QA team with no programming experience, which resulted in production errors.

Solution: The implementation of STELA, which allowed the existing QA team to automate critical regression tests thanks to a learning curve of just 20 hours.

Key Results

• • A 90% reduction in bugs detected in production.
  • Increased test coverage from 20% to 87%.
  • A 75% decrease in the time dedicated to testing.
  • Empowerment of the team, who now reuses the robots in client implementation processes.

The Bottleneck: Slow Testing and the Programming Barrier

The SINCO ERP team found themselves in a classic bottleneck common to many software companies: their agile development team was outpacing a functional QA team reliant on manual testing. Consequently, each new version of their complex ERP required extensive regression tests that were extremely slow. This manual process not only delayed releases but also allowed critical errors to escape into production, demanding costly reworks and affecting client satisfaction.

While automation seemed like the logical solution, they hit a fundamental barrier. Specifically, the QA team didn’t know how to code, and the company was unwilling to distract its valuable developers from feature creation to assign them to testing tasks. As a result, they felt stuck, having never approached automation before due to this lack of technical knowledge.

The Solution: STELA, the Tool that Empowers the Analyst

The arrival of STELA completely changed the rules of the game for SINCO ERP. For the first time, the QA team had a tool in their hands that allowed them to automate without writing a single line of code. The adoption was incredibly fast. For instance, the learning curve was minimal; in just 20 hours of training, the functional analysts were already building their first test bots. Crucially, STELA empowered the existing team, meaning SINCO ERP did not have to change its team composition or hire new technical profiles. Furthermore, what the team valued most was the actionable evidence STELA provides, which simplifies finding and reporting bugs to the development team.

The main focus was the automation of regression tests for the ERP’s most critical modules, ensuring that new features did not break existing ones.

The Results: A Measurable Transformation in Quality, Coverage, and Speed

The impact of empowering the QA team with STELA was a total transformation, reflected in spectacular metrics. First and foremost, the quality of the final product improved dramatically, with 90% fewer bugs found in production. In addition, test coverage skyrocketed from a mere 20% to a robust 87%. This was all achieved while simultaneously reducing the time spent on testing by 75%, freeing the team from days of manual regression cycles.

The Multiplier Effect: From QA to Client Implementation

Perhaps the most surprising benefit went beyond the QA team. The QA analysts began to share the bots they created with the implementation analysts. This allowed them to reuse the automations for each new client, maximizing project profitability and drastically accelerating the creation of specialized test plans for each implementation. Ultimately, STELA not only improved internal quality but also optimized the process of delivering value to the end customer.