Academic Journal

Toward human-like summaries generated from heterogeneous software artefacts

Bibliographic Details
Title: Toward human-like summaries generated from heterogeneous software artefacts
Authors: ALGHAMDI, Mahfouth, TREUDE, Christoph, WAGNER, Markus
Source: Research Collection School Of Computing and Information Systems
Publisher Information: Institutional Knowledge at Singapore Management University
Publication Year: 2019
Collection: Institutional Knowledge (InK) at Singapore Management University
Subject Terms: Heterogeneous software artefacts, extractive summarisation, humanlike summaries, Software Engineering
Description: 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.
Document Type: text
File Description: application/pdf
Language: English
Relation: https://ink.library.smu.edu.sg/sis_research/8872; https://ink.library.smu.edu.sg/context/sis_research/article/9875/viewcontent/gi19.pdf
DOI: 10.1145/3319619.3326814
Availability: https://ink.library.smu.edu.sg/sis_research/8872
https://doi.org/10.1145/3319619.3326814
https://ink.library.smu.edu.sg/context/sis_research/article/9875/viewcontent/gi19.pdf
Rights: http://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edsbas.69C94BD6
Database: BASE
Description
DOI:10.1145/3319619.3326814