Improving the effectiveness of traceability link recovery using hierarchical bayesian networks
Abstract
Traceability is a fundamental component of the modern software development process that helps to ensure properly functioning, secure programs. Due to the high cost of manually establishing trace links, researchers have developed automated approaches that draw relationships between pairs of textual software artifacts using similarity measures. However, the effectiveness of such techniques are often limited as they only utilize a single measure of artifact similarity and cannot simultaneously model (implicit and explicit) relationships across groups of diverse development artifacts.
BibTeX
@inproceedings{Moran-al:ICSE20,
author = {Kevin Moran and
David N. Palacio and
Carlos Bernal{-}C{\'{a}}rdenas and
Daniel McCrystal and
Denys Poshyvanyk and
Chris Shenefiel and
Jeff Johnson},
title = {Improving the effectiveness of traceability link recovery using hierarchical bayesian networks},
booktitle = {ICSE},
pages = {873--885},
publisher = {{ACM}},
year = {2020},
}