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This work has been partially supported by the project OPENNESS (Grant GeCoWEB A0375-2020-36616) founded by Regione Lazio through Research Program POR FESR LAZIO 2014-2020 – GRUPPI DI RICERCA 2020. The authors are members of the Italian Research Group: INdAM-GNCS.
This archive contains the whole set of documents that have been considered in the classification study reported in the manuscript titled: "A Classification Study on Testing and Verification of AI-based Systems".
Data Set, Classification Study, AI Systems, Software Testing, Formal Verification, Machine Learning
Data Set, Classification Study, AI Systems, Software Testing, Formal Verification, Machine Learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 | |
| downloads | 14 |

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