Case Study
Goldman Sachs doubles code coverage for a legacy application overnight - Saves over a year of manual effort with Diffblue Cover and AI for Code
Goldman Sachs doubles code coverage for a legacy application overnight - Saves over a year of manual effort with Diffblue Cover and AI for Code
Challenge Unit test suites are a key part of effective software development, but creating them for legacy code is resource-intensive. Goldman Sachs aimed to efficiently boost legacy code coverage and allow engineering teams to refocus their efforts on the development of innovative, business-critical new features. Solution Goldman Sachs has a long history as a technology leader among global banks. The latest advance is the company’s use of Diffblue Cover, an AI-powered tool that enables the engineering teams to improve code quality and efficiency through the automatic generation of unit tests. Results Since starting the legacy modernization program using Diffblue Cover, the engineering teams have increased test coverage for the first batch of applications from 36% to 72% in le