Metric Suite for Event-Driven Software Systems

Event-driven software systems have gained significant prominence due to their ability to handle complex and asynchronous interactions. Evaluating the quality and characteristics of such systems is crucial to ensure their reliability and efficiency. This research paper proposes a comprehensive set of metrics specifically designed to measure event-driven software systems. Beginning with an exposition of the event-driven programming paradigm, this study emphasizes its pivotal traits, highlighting the distinctiveness of event-driven systems in contrast to structured and object-oriented programming paradigms. The purpose of this research paper is to address the necessity for metrics tailored to event-driven systems. The proposed metrics are grouped into categories, such as event structure, event dependency, event performance, event complexity, event synchronization and event reliability metrics. Each metric is defined and described. These metrics facilitate software practitioners to make informed decisions during system design, optimization, and evaluation processes. The research paper concludes by discussing the limitations of the study, including potential threats to its validity. Future guidelines are also outlined, highlighting opportunities for further research, industry adoption, tooling, benchmarking, and continuous improvement of the proposed metrics.