Abstract
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.
Original language | Unknown |
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Title of host publication | INFORUM - Simpósio de estudantes |
Pages | 1-12 |
Publication status | Published - 1 Jan 2011 |
Event | Simpósio de estudantes INFORUM 2011 - Duration: 1 Jan 2011 → … |
Conference
Conference | Simpósio de estudantes INFORUM 2011 |
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Period | 1/01/11 → … |