An empirical study on the potential of word embedding techniques in bug report management tasks

Context Representing the textual semantics of bug reports is a key component of bug report management (BRM) techniques. Existing studies mainly use classical information retrieval-based (IR-based) approaches, such as the vector space model (VSM) to do semantic extraction. Little attention is paid to...

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Veröffentlicht in:	Empirical software engineering : an international journal Jg. 29; H. 5; S. 122
Hauptverfasser:	Chen, Bingting, Zou, Weiqin, Cai, Biyu, Meng, Qianshuang, Liu, Wenjie, Li, Piji, Chen, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2024 Springer Nature B.V
Schlagworte:	Compilers Computer Science Debugging Embedding Information retrieval Interpreters Machine learning Natural language processing Programming Languages Semantics Software Engineering/Programming and Operating Systems Vector spaces Words (language) Pre-trained models Bug report Word embedding Vector space model
ISSN:	1382-3256, 1573-7616
Online-Zugang:	Volltext
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