Analyzing the Impact of Software Complexity on Software Defect Resolution Time

Abstract

The time it takes to fix software issues can be significantly influenced by program complexity. Complex software systems are frequently made up of several interconnected components, making it difficult to pinpoint the source of errors. Complex code might be more difficult to adapt and test, necessitating additional work to ensure that the fix does not cause new flaws. Furthermore, as the complexity of the software system rises, the cognitive load placed on developers increases, making it more difficult for them to diagnose and resolve errors efficiently. As a result, this study defines Macro-Level Cognitive Interaction (MaCLI), a methodology for analyzing the impact of software complexity on software defect resolution time. This framework focuses on how developers interact with software, the cognitive processes they use to detect and resolve faults, as well as to increase the speed and efficacy of defect resolution. By emphasizing cognitive load, information accessibility, visualization, and software design, MaCLI provides a holistic strategy for reducing software complexity and increasing the efficiency and speed of defect resolution. By implementing efficient software design and architecture, as well as leveraging tools and methods that enable successful defect resolution, developers can limit the impact of software complexity on defect resolution time and ensure the continued success of their software projects.