Self-admitted technical debt in R: detection and causes

Self-Admitted Technical Debt (SATD) is primarily studied in Object-Oriented (OO) languages and traditionally commercial software. However, scientific software coded in dynamically-typed languages such as R differs in paradigm, and the source code comments’ semantics are different (i.e., more aligned...

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Vydáno v:	Automated software engineering Ročník 29; číslo 2; s. 53
Hlavní autoři:	Sharma, Rishab, Shahbazi, Ramin, Fard, Fatemeh H., Codabux, Zadia, Vidoni, Melina
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2022 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Artificial neural networks Automation Computer Science Deep learning Keywords Machine learning Object-oriented languages Packages Programming languages Semantics Software development Software engineering Software Engineering/Programming and Operating Systems Software quality Source code Deep learning Deep neural pre-trained language models Self-admitted technical debt R packages Machine learning
ISSN:	0928-8910, 1573-7535
On-line přístup:	Získat plný text
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