Complexity impairs the maintainability and understandability of conceptual models. Complexity metrics have been used in software engineering and business process management (BPM) to capture the degree of complexity of conceptual models. The recent introduction of the Decision Model and Notation (DMN) ...
To change the model metric threshold value, see Customize Metrics Dashboard Layout and Functionality. Comparing Code and Model Complexity Metric Results The cyclomatic complexity of a model can be higher or lower than the cyclomatic complexity of the generated code. This variation depends on your ...
Orange and brown dashed lines are the best-fitting lines to data from monkeys G and B, respectively. The statistics in the main text are calculated using all n = 462 instances. f, Box plots showing the Houtman–Maks (HM) indices—quality of fit metrics for the satisficing model—for...
Attempting to explain the origin of biological complexity, Per Bak and Stuart Kauffman both arrived at structuralist arguments centering on self-organization, but each followed a distinct intellectual path; Kauffman analyzed coarse-grained models of genetic regulatory networks8, while Bak developed the ic...
The metrics are defined for a subclass of Petri nets named Workflow nets, but the results can easily be applied to other languages. To demonstrate the applicability of these metrics, we have applied our approach and tool to 262 relatively complex Protos models made in the context of various ...
7347 Accesses 2 Altmetric Explore all metrics Abstract Model complexity is a fundamental problem in deep learning. In this paper, we conduct a systematic overview of the latest studies on model complexity in deep learning. Model complexity of deep learning can be categorized into expressive capacity...
transforming abstract ideas like sustainability into quantifiable metrics. This is especially relevant in the realm of sustainable urban mobility, where indicators not only deepen our understanding of the challenges but also enhance management proficiency, by highlighting operational obstacles and societal impa...
C2. Code analysis metrics, code complexity metrics, and clean code.There are a number of quality standards and coding best practices when it comes to software development. These aim to ensure that code is developed in a readable, clean way, fostering intuitive understanding. Multipl...
Complexity of Simulation Models: A Graph Theoretic Approach. Studies complexity measures for computer simulation models. Review of software metrics; Framework of simulation graphs; Construction, implementation, testi... Yucesan,Enver - 《Informs Journal on Computing》 被引量: 8发表: 1998年 An Approa...
Metrics Abstract Artificial intelligence (AI) researchers currently believe that the main approach to building more general model problems is the big AI model, where existing neural networks are becoming deeper, larger and wider. We term this the big model with external complexity approach. In this...