Design of a Dashboard of Software Metrics for Adaptable, Energy Efficient Applications

Abstract

Developing features based solely on requirement documents and specifications has been a traditional way of building software. This paper provides a different approach by combining the notions from Artificial Intelligence (AI)-Evolutionary Algorithms (EA) and Complexity Theory. It represents the software to be build-a dashboard-as a Complex System, and metrics inside of them as agents that are interacting in a non-linear fashion. Furthermore, the paper suggests different visualization techniques required to represent such complex relationships.

Towards a Human Values Dashboard for Software Development

“…We developed a prototype that displays values identified in software development artefacts to communicate our idea of a human values dashboard. The development of the dashboard prototype started with examining the literature, especially the studies related to dashboard development (e.g., [33,35,36,65,66]). We also looked at the existing dashboards for software development [11,23,24,44] to discover how they display information to support software development.…”

“…Figure 4a shows this view. This view is commonly provided to provide a quick understanding of the metrics of interest [11,33,44]. We utilised a radar chart to display the number of issues where each value is identified to enable practitioners to compare values that need to be addressed in a project.…”

“…For a project with an existing dashboard, we believe that it is possible to implement a human values dashboard to complement the existing one. Functionalities of such dashboards, e.g., progress monitoring [11,33], could benefit from the perspective of the values offered by our visioned values dashboard. For instance, the development team can monitor the progress of values-related tasks.…”

Analysis of Energy Consumption of Software Development Process Entities

“…For an initial deployment of the solution, there is a server that hosts all the services that compose it. With the purpose to provide an agile way to deploy and scale the system, Docker container is used as a virtualization engine, having OpenJDK as the main JVM of the services and PostgreSQL as RDBMS; • Dashboard-the component of the control module, in which the users responsible for a specific project have the ability to visualize graphs and information about the measurements collected towards their work team [18]; • InnoMetrics API-is an API developed in Java under the Spring Boot framework [19], which provides the interfaces used by both the data collection components to store it within the central repository, and the Dashboard as a data source, which contains the resources needed for the data analysis; • InnoMetrics DB-is a PostgreSQL instance on which the data collected by the different monitoring components are stored. In this initial stage, it is being used as a source of information for the generation of graphics and reports in the Dashboard, but as it going to be explained later, this responsibility will be delegated to a second repository.…”

The Development of Data Collectors in Open-Source System for Energy Efficiency Assessment

“…The sequence diagram (see Fig. 3) showcases the above mentioned scenario, adding to the picture the Innometrics Dashboard, a go-to tool for managers to have an overview of the entire reporting process [11].…”