A Practical Tutorial on Modified Condition/Decision Coverage

By M. Natale, K. Hayhurst, Dan S. Veerhusen, J. Chilenski, L.K. Rierson. 2001

400 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Concolic Testing for Deep Neural Networks (2018, unknown): “A set of criteria inspired by MD/DC coverage [10] is used in [23]; Ma et al.”
Requirements Coverage as an Adequacy Measure for Conformance Testing (2008, methodology): “The UFC metric is adapted from the Modified Condition/Decision Coverage (MC/DC) criterion [4, 9] defined over source code that defines satisfying states in the implementation.”
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems (2018, methodology): “Inspired by the MC/DC test criteria in traditional software [29], Sun et al .”
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing (2018, methodology): “Sun et al. [41] introduce a family of metrics inspired by Modiﬁed Condition / Decision Coverage [14].”