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) ...
In this paper, we provide a comprehensive report on how existing complexity metrics of software were adapted in order to analyze the current business process models complexity. We also proposed a Goal- Question-Metric (GQM) framework for measuring the understandability and maintainability of BPMs. ...
core.metrics.opentelemetry com.azure.maps.render.models com.azure.maps.render com.azure.maps.search.models com.azure.maps.search com.azure.maps.route.models com.azure.maps.route com.azure.resourcemanager.agrifood com.azure.resourcemanager.agrifood.fluent com.azure.resourcemanager.agrifood.models com....
ROMs are an efficient way to reduce the complexity of models and extend their application range. They are key components for several applications like integrating 3D models into 1D ones, speeding up simulations, enabling digital twins and real-time applications, creating virtual sensors, and protec...
12k Accesses 54 Citations 11 Altmetric Metrics details Abstract What allows interacting, diverse species to coexist in nature has been a central question in ecology, ever since the theoretical prediction that a complex community should be inherently unstable. Although the role of spatiality in ...
Metrics Abstract On the Internet, information circulates fast and widely, and the form of content adapts to comply with users’ cognitive abilities. Memes are an emerging aspect of the internet system of signification, and their visual schemes evolve by adapting to a heterogeneous context. A funda...
To our knowledge, ours is the first study to apply numerous linguistic metrics to assess disclosure complexity. Our study also has several practical implications. Many regulatory agencies in North America have made consistent efforts to encourage use of straightforward language in corporate disclosures. ...
(the amount ofmemoryused to run analgorithm). Understanding the time complexity of an algorithm allows programmers to select the algorithm best suited for their needs, as a fast algorithm that is good enough is often preferable to a slow algorithm that performs better along other metrics. ...
extreme El Niños), and temporal evolution (e.g., more multi-year La Niñas than multi-year El Niños). While conventional conceptual models were typically used to understand the dynamics behind the common properties of ENSO, this model offers a powerful tool to understand and predict ENSO...
With roots in philosophy, economics and physics, complexity was originally a community based on abstract thought experiments and models11. Computer scientists and statisticians joined to help with computational modeling and processing of big data. Ecologists, anthropologists, or political scientists also ...