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Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts
May 06, 2019 Β· Declared Dead Β· π Annual Conference on Genetic and Evolutionary Computation
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Authors
Mahfouth Alghamdi, Christoph Treude, Markus Wagner
arXiv ID
1905.02258
Category
cs.SE: Software Engineering
Citations
2
Venue
Annual Conference on Genetic and Evolutionary Computation
Last Checked
3 months ago
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.
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