Clustering-based Automated Requirement Trace Retrieval

The benefits of requirement traceability are well known and documented. links between requirements code fundamental in supporting different activities the software development process, including change management maintenance. These can be obtained using manual or automatic means. Manual trace retrieval is a time-consuming task. Automatic performed via various tools such as Information machine learning techniques. Meanwhile, big concern associated with automated low precision problem primarily caused by term mismatches across documents to traced. This study proposes an approach that addresses mismatch obtain greatest improvements accuracy. proposed uses clustering process performs experimental evaluation against previous benchmarks. results show improves precision.