Computer Science
a year ago

New study reveals how code smells impact software quality and productivity.

An Analysis on Detection and Visualization of Code Smells
Prabhu Jayagopal, Thejineaswar Guhan, Mayur Rahul, Pritish Gupta, Sandeep Kumar Mathivanan

Paper Summary

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The article discusses how "code smells" in software can affect its quality without causing errors. The researchers looked at different ways to detect these issues, focusing on Machine-Learning techniques. They studied code smells in various programming languages like Scala, SQL, C#, Python, and JavaScript. The researchers also compared different tools used to find and fix code smells, highlighting their strengths and weaknesses. Overall, the study provides insights into improving software quality by identifying and addressing code smells effectively.