Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124530
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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

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