  Requirements traceability is an essential step in ensuring the quality of
software during the early stages of its development life cycle. Requirements
tracing usually consists of document parsing, candidate link generation and
evaluation and traceability analysis. This paper demonstrates the applicability
of Statistical Term Extraction metrics to generate candidate links. It is
applied and validated using two data sets and four types of filters two for
each data set, 0.2 and 0.25 for MODIS, 0 and 0.05 for CM1. This method
generates requirements traceability matrices between textual requirements
artifacts (such as high-level requirements traced to low-level requirements).
The proposed method includes ten word frequency metrics divided into three main
groups for calculating the frequency of terms. The results show that the
proposed method gives better result when compared with the traditional TF-IDF
method.
