Information & Software TechnologyV. Rodriguez and W.T. Tsai, A tool for discriminant analysis and classification of software metrics. Software Development , Butterworth & Co., 1987, 29(3).Rodriguez, V. and Tsai, W.-T., "A Tool for Discriminant Analysis and Classification of Software Metrics...
Trying to achieve clarity in this line, we have developed the CQM model (Component Quality Model), whose first aim is to propose a classification of the defined metrics for software components. The model will also be able to be used for the evaluation of a component or a component system....
Forty-two software product, process and execution metrics were candidate predictors. Model 1 used measurements of the first release as the training data set; this model had 11 important predictors. Model 2 used measurements of the second release as the training data set; this model had 15 ...
raise ValueError("Can't handle mix of {0} and {1}" "".format(type_true, type_pred)) # We can't have more than one value on y_type => The set is no more needed y_type = y_type.pop() # No metrics support "multiclass-multioutput" format if (y_type not in ["binary", "...
Metrics Advisor Mixed Reality Mobile Network Mongo Cluster Monitor MySQL NetApp Files Network Network Analytics New Relic Observability News Search Nginx Operator Nexus - Network Cloud Oracle Database Palo Alto Networks PostgreSQL Private DNS Provider Hub Qumulo Quota Recovery Services Redis Re...
1697 Accesses 1 Citations Metrics details Abstract In online public opinion events, key figures are crucial to the formation and diffusion of public opinion, to the evolution and dissemination of topics, and to the guidance and transformation of the direction of public opinion. Based on the four...
Performance measures and metrics in outsourcing decisions: A review for research and applications Outsourcing, an operations strategy that influences the performance of a supply chain, has become an important component of global operations management. A... A Gunasekaran,Z Irani,KL Choy,... - 《Inte...
Additional Model Metrics MetricDescriptionTip Precision Positive predictive value, meaning the fraction of predicted true positive results among all predicted positive results Look for higher precision values. A larger number of false positive predictions lowers the precision of a model. Recall True positiv...
A revised mapping-restricted agglomerative clustering set of guidelines is built to expose a portable data structure from the acceleration metrics to configure the neuron-fuzzy classifier. Rahman, Salan, Shuva, and Khan (2017) developed an effective SC connectivity solution that reduces the excessive ...
2180 Accesses 7 Citations 1 Altmetric Metrics details Abstract The freshness of vegetable soybean (VS) is an important indicator for quality evaluation. Currently, deep learning-based image recognition technology provides a fast, efficient, and low-cost method for analyzing the freshness of food. ...