Dissertation/Thesis

Toward human-like summaries generated from heterogeneous software artefacts

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Toward human-like summaries generated from heterogeneous software artefacts
Συγγραφείς: ALGHAMDI, Mahfouth, TREUDE, Christoph, WAGNER, Markus
Πηγή: Research Collection School Of Computing and Information Systems
Στοιχεία εκδότη: Institutional Knowledge at Singapore Management University
Έτος έκδοσης: 2019
Συλλογή: Institutional Knowledge (InK) at Singapore Management University
Θεματικοί όροι: Heterogeneous software artefacts, extractive summarisation, humanlike summaries, Software Engineering
Περιγραφή: 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.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: 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
Διαθεσιμότητα: 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/
Αριθμός Καταχώρησης: edsbas.69C94BD6
Βάση Δεδομένων: BASE
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  Data: Toward human-like summaries generated from heterogeneous software artefacts
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  Data: <searchLink fieldCode="AR" term="%22ALGHAMDI%2C+Mahfouth%22">ALGHAMDI, Mahfouth</searchLink><br /><searchLink fieldCode="AR" term="%22TREUDE%2C+Christoph%22">TREUDE, Christoph</searchLink><br /><searchLink fieldCode="AR" term="%22WAGNER%2C+Markus%22">WAGNER, Markus</searchLink>
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  Data: 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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  Data: https://ink.library.smu.edu.sg/sis_research/8872; https://ink.library.smu.edu.sg/context/sis_research/article/9875/viewcontent/gi19.pdf
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