Jan. 17, 2022, 2:10 a.m. | Vali Tawosi, Rebecca Moussa, Federica Sarro

cs.LG updates on arXiv.org arxiv.org

In the last decade, several studies have proposed the use of automated
techniques to estimate the effort of agile software development. In this paper
we perform a close replication and extension of a seminal work proposing the
use of Deep Learning for agile effort estimation (namely Deep-SE), which has
set the state-of-the-art since. Specifically, we replicate three of the
original research questions aiming at investigating the effectiveness of
Deep-SE for both within-project and cross-project effort estimation. We
benchmark Deep-SE against …

agile arxiv deep learning learning

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