Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts
Software Engineering
2019-05-08 v1
Abstract
Automatic text summarisation has drawn considerable interest in the field of software engineering. It can improve the efficiency of software developers, enhance the quality of products, and ensure timely delivery. In this paper, we present our initial work towards automatically generating human-like multi-document summaries from heterogeneous software artefacts. Our analysis of the text properties of 545 human-written summaries from 15 software engineering projects will ultimately guide heuristics searches in the automatic generation of human-like summaries.
Keywords
Cite
@article{arxiv.1905.02258,
title = {Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts},
author = {Mahfouth Alghamdi and Christoph Treude and Markus Wagner},
journal= {arXiv preprint arXiv:1905.02258},
year = {2019}
}
Comments
Accepted for publication at Genetic and Evolutionary Computation Conference (GI@GECCO Workshop 2019)