In this article, we present a combination of architecture-driven model-based testing principles and regression-inspired testing strategies for efficient, yet comprehensive variability-aware conformance testing of variant-rich systems.
Identification and prediction of patterns (spatial-temporal organizations) across multiple scales are coming to the forefront in soil science and hydrology, which offer rich and comprehensive insights regarding variability and the underlying processes.
In view of the above variability, comprehensive data on biomass and carbon stocks are lacking at local, regional, and national level as required for millennium ecosystem assessment (MEA 2005) to workout strategies and policies for mitigating atmospheric CO2 through organizing and conserving different forest vegetations.
This work illustrates the strength of current sequencing technologies to picture a comprehensive landscape of variability in livestock species, and to pinpoint regions containing genes potentially under selection.
With the completion of the human genome project [ 7] and the availability of comprehensive data on variability in human genome from the HapMap [ 8], huge strides have been made in our understanding of single nucleotide polymorphism (SNP) and the impact of interindividual genetic variants on the risk of complex diseases.
To build a comprehensive model describing the variability of reservoir macro-parameters, one needs to investigate the relationship between the variability of reservoir macro-parameters and that of micro-parameters.
Based on the comprehensive model describing the variability of reservoir macroscopic parameters, the recovery calculated when considering the reservoir parameters' synergetic variability is 0.6%% higher than that of neglecting the variability of reservoir parameters.
Systematically moving toward patient-centered care for unilateral vocal fold immobility (UVFI) requires comprehensive understanding of the variability of actual patient experiences.
Ever-increasing demands of mungbean consumption, wide eco-geographical variations and inadequate achievements through conventional breeding necessitate comprehensive assessment of genetic variability coupled with population patterning.
Nonetheless are quantitative estimates of landslide-derived sediment production and delivery important data to develop a more comprehensive understanding of the variability in alpine sediment flux.
