Toward human-like summaries generated from heterogeneous software artefacts

Mahfouth Alghamdi, Christoph Treude, Markus Wagner

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
EditorsAnne Auger, Thomas Stützle
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages1701-1702
Number of pages2
ISBN (Electronic)9781450367486
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventThe Genetic and Evolutionary Computation Conference 2019 - Prague, Czechia
Duration: 13 Jul 201917 Jul 2019
Conference number: 21st
https://gecco-2019.sigevo.org/index.html/HomePage
https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings)

Conference

ConferenceThe Genetic and Evolutionary Computation Conference 2019
Abbreviated titleGECCO 2019
Country/TerritoryCzechia
CityPrague
Period13/07/1917/07/19
Internet address

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