Abstract
Guidelines for refactoring, meant to improvesoftware systems internal quality and widely acknowledged asone of software best practices, are still qualitative. As a result,the refactoring process is mostly subjective, and consequentlynon-automatable, prone to errors and unrepeatable. An example is the detection of the Long Method code smell. To address this problem, this paper proposes a technique to detectLong Method objectively and automatically, using a Binary Logistic Regression model calibrated by expert's knowledge. The results of an experiment illustrating the use of thistechnique are then reported.
Original language | Unknown |
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Title of host publication | International Conference on the Quality of Information and Communications Technology |
Pages | 337-342 |
DOIs | |
Publication status | Published - 1 Jan 2010 |
Event | International Conference on the Quality of Information and Communications Technology - Duration: 1 Jan 2010 → … |
Conference
Conference | International Conference on the Quality of Information and Communications Technology |
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Period | 1/01/10 → … |