Companies that maintain complex software systems (fintech platforms, healthcare applications, SaaS products, or ongoing legacy modernization projects), share a common set of challenges. Each new release risks breaking functionality that once worked when seemingly unrelated code paths are touched. Deployments become stressful for engineers and worrisome for stakeholders who depend on stable, predictable releases. Development teams want to make updates faster without sacrificing reliability, defects must be detected early in the lifecycle, before customers are affected. Achieving these goals requires automated regression testing.
Dzmitry Garbar
•
5
min read
