Evaluating CB measures-based Code Analyser

Abstract

Software complexity measures serve both as an analyser and a predictor in quantitative software engineering. Software quality is defined as completeness, correctness, consistency, no misinterpretation, and no ambiguity, feasible and verifiable in both specification and implementation. To better develop program optimisation a program, developers could use different methods, one being Complexity measures. This method is helpful for code debugging without compiling or running the program. It could also be automated using tools, which is considered more efficient than manually analysing the code. One specific method commonly used in automated code analysis is Cognitive-based complexity measures. There are many complexity metrics, and we concede the Cognitive-based measures introduced by Chhillar and Bhasin. This web-based automated code analysis tool based on Improved Cognitive Base measures unlikely other code analysis tools. This tool can detect duplicated code segments and, after seeing those code segments, calculate the complexity of those caught code segments. This will allow developers to increase software quality and increase optimisation.