Toward human-like summaries generated from heterogeneous software artefacts

Mahfouth Alghamdi; Christoph Treude; Markus Wagner

doi:10.1145/3319619.3326814

Toward human-like summaries generated from heterogeneous software artefacts

Mahfouth Alghamdi, Christoph Treude, Markus Wagner

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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 language	English
Title of host publication	Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
Editors	Anne Auger, Thomas Stützle
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	1701-1702
Number of pages	2
ISBN (Electronic)	9781450367486
DOIs	https://doi.org/10.1145/3319619.3326814
Publication status	Published - 2019
Externally published	Yes
Event	The Genetic and Evolutionary Computation Conference 2019 - Prague, Czechia Duration: 13 Jul 2019 → 17 Jul 2019 Conference number: 21st https://gecco-2019.sigevo.org/index.html/HomePage https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings)

Conference

Conference	The Genetic and Evolutionary Computation Conference 2019
Abbreviated title	GECCO 2019
Country/Territory	Czechia
City	Prague
Period	13/07/19 → 17/07/19
Internet address	https://gecco-2019.sigevo.org/index.html/HomePage https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings)

Access to Document

10.1145/3319619.3326814

Cite this

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title = "Toward human-like summaries generated from heterogeneous software artefacts",

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.",

author = "Mahfouth Alghamdi and Christoph Treude and Markus Wagner",

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language = "English",

pages = "1701--1702",

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booktitle = "Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery (ACM)",

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Alghamdi, M, Treude, C & Wagner, M 2019, Toward human-like summaries generated from heterogeneous software artefacts. in A Auger & T Stützle (eds), Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM), New York NY USA, pp. 1701-1702, The Genetic and Evolutionary Computation Conference 2019, Prague, Czechia, 13/07/19. https://doi.org/10.1145/3319619.3326814

Toward human-like summaries generated from heterogeneous software artefacts. / Alghamdi, Mahfouth; Treude, Christoph; Wagner, Markus.
Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ed. / Anne Auger; Thomas Stützle. New York NY USA: Association for Computing Machinery (ACM), 2019. p. 1701-1702.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AB - 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.

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Y2 - 13 July 2019 through 17 July 2019

ER -

Toward human-like summaries generated from heterogeneous software artefacts

Abstract

Conference

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