Testing machine learning based systems: a systematic mapping

Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set. The increasing adoption of MLSs in safety critical domains such as autonomous driving, healthcare, and finance has fostered much attention towa...

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Vydáno v:	Empirical software engineering : an international journal Ročník 25; číslo 6; s. 5193 - 5254
Hlavní autoři:	Riccio, Vincenzo, Jahangirova, Gunel, Stocco, Andrea, Humbatova, Nargiz, Weiss, Michael, Tonella, Paolo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2020 Springer Nature B.V
Témata:	Adequacy Algorithms Compilers Computer Science Context Evaluation Functional testing Interpreters Machine learning Mapping Programming Languages Quality assurance Safety critical Software Software Engineering/Programming and Operating Systems Software testing Software testing Systematic review Systematic mapping Machine learning
ISSN:	1382-3256, 1573-7616
On-line přístup:	Získat plný text
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