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A Metrics Suite for Measuring Indirect Coupling Complexity
AbstractSoftware development can be a time-consuming and costly process that requires a significant amount of effort. Developers are often tasked...
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Conditional Automatic Complexity and Its Metrics
Li, Chen, Li, Ma, and Vitányi (2004) introduced a similarity metric based on Kolmogorov complexity. It followed work by Shannon in the 1950s on a...
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Comparison of metrics for measuring Wikipedia ecology: characteristics of self-consistent metrics for editor scatteredness and article complexity
Wikipedia, an example of a collective knowledge space, improves the quality of its editors and articles in a self-organized manner. To measure the...
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Empirical Validation of Entropy-Based Redundancy Metrics as Reliability Indicators Using Fault-Proneness Attribute and Complexity Metrics
Software reliability is one of the most important software quality attributes. It is generally predicted using different software metrics that...
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Complexity Measures
Above all, for measurements in software development, from which test metrics can be derived, metrics are defined using complexity measures that...
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Data complexity measures for classification of a multi-concept dataset
Classification algorithms design predictive models that classify data under one of the predefined categories. The data can be text, image, audio,...
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Objective Metrics for Assessing Visual Complexity of Vehicle Dashboards: A Machine-Learning Based Study
Dashboard is a central component of an in-vehicle information system (IVIS), and plays a crucial role in providing drivers with key information...
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Software Metrics
Appropriate values are collected and condensed into metrics for the control of software development and software quality. They also indicate what the...
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Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
Data Science and Machine Learning have become fundamental assets for companies and research institutions alike. As one of its fields, supervised...
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Application of Metrics
Metrics are used for various reasons. The scope and application area of metrics in software and system engineering, and specifically in testing, are...
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Classification of Metrics
Metrics can be divided into different categories according to several classifications.
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AI-Based Syntactic Complexity Metrics and Sight Interpreting Performance
Complex syntax may lead to increased cognitive effort during translation. However, it is unclear what kinds of syntactic complexity have a stronger...
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Structural complexity predicts consensus readability in online discussions
The intricate relationship between structure and function spans various disciplines, from biology to management, offering insights into predicting...
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Prioritizing unit tests using object-oriented metrics, centrality measures, and machine learning algorithms
Nowadays, increasing complexity and size of object-oriented software systems bring new software quality assurance challenges. Unit testing is one of...
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Social bot metrics
In this paper, we propose metrics for malicious bots that provide a qualitative estimation of a bot type involved in the attack in social media: price ...
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Exploring better alternatives to size metrics for explainable software defect prediction
Delivering reliable software under the constraint of limited time and budget is a significant challenge. Recent progress in software defect...
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Application of Genetic Algorithm for Complexity Metrics-Based Classification of Ontologies with ELECTRE Tri
The selection of suitable ontologies for reuse remains a challenging task. Although there have been attempts to cluster and classify ontologies using...
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Comparison of Test Metrics
By comparing test metrics from different projects, one gains additional informed information about the strengths and weaknesses of one’s own...
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Test Case-Based Metrics
Test case-based metrics evaluate the status and quality of individual test cases, from which statements about the expected test volume and the...
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Metrics for Software Quality
Metrics for software quality evaluate and weigh different criteria. There are several scientific approaches and parameters for this.