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.
|Title of host publication||INFORUM - Simpósio de estudantes|
|Publication status||Published - 1 Jan 2011|
|Event||Simpósio de estudantes INFORUM 2011 - |
Duration: 1 Jan 2011 → …
|Conference||Simpósio de estudantes INFORUM 2011|
|Period||1/01/11 → …|