Automating Excellence: The Role of AI in Software Testing and Quality Assurance in Indonesia
Amidst the rapid growth of the technology industry in Indonesia, software quality is a key factor in determining a product’s success. However, traditional software testing processes are often time-consuming, prone to human error, and difficult to keep up with the rapid pace of development. This is where AI -powered tools for automating software testing and quality assurance emerge as a revolutionary solution.
These tools go beyond simply automating existing scripts; they also bring intelligence to the entire quality assurance (QA) cycle. With the ability to learn, adapt, and predict, AI empowers QA teams and developers in Indonesia to deliver faster, more reliable, and defect-free products.
Conventional Challenges in Software Testing
Before the advent of AI, software testing faced several significant challenges:
- Time-Consuming Manual Testing: Regression testing—the process of ensuring existing features are not broken by new changes—is a highly repetitive and tedious process, often taking hours or even days.
- Fragile