Automated Recovery and Visualization of Test-to-Code Traceability (TCT) Links: An Evaluation

In the software development process, traceability links between unit tests and code are not explicitly maintained, dependencies in most cases manually identified. As a result, large amount of effort time is required during comprehension process to establish these artifacts. Although there several methods that can infer such based on different phenomenons, usually produce set links. This work expands upon previous link recovery visualization studies by implementing combination automatically retrieve links, visualizing them help developers overview inferred various techniques, also select right relations for analyses. The results usability study show model presented herein effectively support browsing, comprehension, maintenance Test-to Code Traceability (TCT) system with enhanced efficiency, as well TCT from multiple sources better than single source