Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/124530
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Conference paper |
Title: | Toward human-like summaries generated from heterogeneous software artefacts |
Author: | Alghamdi, M. Treude, C. Wagner, M. |
Citation: | Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO 2019 Companion), 2019, pp.1701-1702 |
Publisher: | Association for Computing Machinery |
Publisher Place: | New York |
Issue Date: | 2019 |
ISBN: | 1450367488 9781450367486 |
Conference Name: | Genetic and Evolutionary Computation Conference (GECCO) (13 Jul 2019 - 17 Jul 2019 : Prague, Czech Republic) |
Statement of Responsibility: | Mahfouth Alghamdi, Christoph Treude, Markus Wagner |
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: | Software and its engineering; Search-based software engineering |
Rights: | © 2019 Association for Computing Machinery. |
DOI: | 10.1145/3319619.3326814 |
Grant ID: | http://purl.org/au-research/grants/arc/DE160100850 |
Published version: | https://dl.acm.org/doi/proceedings/10.1145/3319619 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.