Automated Code Analyzer Based on the ICB Metric

Abstract

In the rapidly evolving domain of software development, the imperative for reliable tools to gauge code quality and offer invaluable insights has reached a critical juncture. This research paper introduces an ingenious Automated Code Analysis (ACA) system meticulously crafted to cater to the unique requisites of both developers and students. ACA transcends the conventional boundaries of code evaluation by not only scrutinizing source code but also bestowing users with the gift of automated software metrics, actionable feedback, and profound analyses. This paper presents an exhaustive panorama of ACA, emphasizing its fundamental attributes, expansive capabilities, and the transformative influence it holds over software development methodologies. The dynamic nature of modern software development demands tools that not only adapt but also innovate. ACA embodies this spirit of adaptability and innovation, delivering an all-encompassing solution that empowers its users to elevate their coding prowess. Beyond conventional code scrutiny, ACA harnesses the power of data-driven metrics, facilitating informed decisions and insights into codebase enhancements. This paper embarks on a journey through the intricate realm of ACA, unearthing its potential to redefine code analysis practices, embolden developers and students alike, and cultivate a culture of code excellence. The study delves deep into ACA's intricate architecture, exploring how it transforms software development paradigms by equipping practitioners with the means to not just evaluate code but to perfect it. With ACA at the helm, software development enters an era where precision, efficiency, and excellence converge, propelling the industry towards uncharted horizons of innovation.