Is Complexity-based Clustering of Process Metrics as Effective as in Static Code Metrics

Graph Clustering Evaluation Metrics as Software Metrics

ion. Therefore, the aim of this paper is to investigate existing GCE metrics as metrics reflecting cohesion of software modules. The rest of the paper is structured as follows. Related work is presented in Section 2. Graph clustering evaluation metrics explored in this work as software metrics are defined in the next section of the paper. Section 4 explains how GCE metrics can be applied to gra...

Business Process Quality Metrics: Log-Based Complexity of Workflow Patterns

We believe that analysis tools for BPM should provide other analytical capabilities besides verification. Namely, they should provide mechanisms to analyze the complexity of workflows. High complexity in workflows may result in poor understandability, errors, defects, and exceptions leading processes to need more time to develop, test, and maintain. Therefore, excessive complexity should be avo...

Complexity Metrics for business Process Models

Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To fulfill this purpose, they should be easy to understand and easy to maintain. For this reason, it is useful to have measures that can give us some information about understandability and maintainability of a business proce...

Patch Metrics as Surrogates of Structural Complexity of Remnant Vegetation

Static and Dynamic Complexity Analysis of Software Metrics

Software complexity metrics are used to predict critical information about reliability and maintainability of software systems. Object oriented software development requires a different approach to software complexity metrics. Object Oriented Software Metrics can be broadly classified into static and dynamic metrics. Static Metrics give information at the code level whereas dynamic metrics prov...