Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2019
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
Heterogeneous software artefacts, extractive summarisation, humanlike summaries
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, Czech Republic, 2019 July 13-17
First Page
1701
Last Page
1702
ISBN
9781450367486
Identifier
10.1145/3319619.3326814
Publisher
ACM
City or Country
New York
Citation
ALGHAMDI, Mahfouth; TREUDE, Christoph; and WAGNER, Markus.
Toward human-like summaries generated from heterogeneous software artefacts. (2019). GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, Czech Republic, 2019 July 13-17. 1701-1702.
Available at: https://ink.library.smu.edu.sg/sis_research/8872
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3319619.3326814