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In past and recent years, the issues related to managing technical debt received significant attention by researchers from both industry and academia. There are several factors that contribute to technical debt. One of these is represented by code bad smells, <i>i.e.</i>, symptoms of poor design and implementation choices. While the repercussions of smells(More)
Test smells have been defined as poorly designed tests and, as reported by recent empirical studies, their presence may negatively affect comprehension and maintenance of test suites. Despite this, there are no available automated tools to support identification and repair of test smells. In this paper, we firstly investigate developers&#039; perception of(More)
Code smells are symptoms of poor design and implementation choices that may hinder code comprehension and possibly increase change- and fault-proneness of source code. Several techniques have been proposed in the literature for detecting code smells. These techniques are generally evaluated by comparing their accuracy on a set of detected candidate code(More)
Code clone detection is an important problem for software maintenance and evolution. Many approaches consider either structure or identifiers, but none of the existing detection techniques model both sources of information. These techniques also depend on generic, handcrafted features to represent code fragments. We introduce learning-based detection(More)
Software evolution often leads to the degradation of software design quality. In Object-Oriented (OO) systems, this often results in packages that are hard to understand and maintain, as they group together heterogeneous classes with unrelated responsibilities. In such cases, state-of-the-art re-modularization tools solve the problem by proposing a new(More)
During Object-Oriented development, developers try to define classes having (i) strongly related responsibilities, i.e., high cohesion, and (ii) limited number of dependencies with other classes, i.e., low coupling [1]. Unfortunately, due to strict deadlines, programmers do not always have sufficient time to make sure that the resulting source code conforms(More)
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