  Eradication of code smells is often pointed out as a way to improve
readability, extensibility and design in existing software. However, code smell
detection in large systems remains time consuming and error-prone, partly due
to the inherent subjectivity of the detection processes presently available. In
view of mitigating the subjectivity problem, this paper presents a tool that
automates a technique for the detection and assessment of code smells in Java
source code, developed as an Eclipse plug-in. The technique is based upon a
Binary Logistic Regression model and calibrated by expert's knowledge. A short
overview of the technique is provided and the tool is described.
