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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Veröffentlicht in:	Empirical software engineering : an international journal Jg. 25; H. 6; S. 5193 - 5254
Hauptverfasser:	Riccio, Vincenzo, Jahangirova, Gunel, Stocco, Andrea, Humbatova, Nargiz, Weiss, Michael, Tonella, Paolo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2020 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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