Using Software Metrics for Automatic Software Design Improvement

Marian, Zsuzsanna; Czibula, Gabriela; Czibula, Istvan Gergely

doi:10.24846/v21i3y201203

Cited by 7 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bryksin et al [5] proposed an approach to recommend Move Method refactorings using clustering ensembles. The approach combines the results of several heuristic-based algorithms, such as ARI (Automatic Refactoring Identification) [19], HAC (Hierarchical Agglomerative Clustering) [18], and CCDA (Constrained Community Detection Algorithm) [29]. Based on this approach, the authors presented a tool called ArchitectureReloaded that is implemented as a plug-in for IntelliJ IDEA and allows to run the selected algorithms and automatically recommend Move Method refactoring.…”

Section: Ensemble Methodsmentioning

confidence: 99%

Recommendation of Move Method Refactoring Using Path-Based Representation of Code

Kurbatova¹,

Veselov²,

Golubev³

et al. 2020

Preprint

View full text Add to dashboard Cite

Software refactoring plays an important role in increasing code quality. One of the most popular refactoring types is the Move Method refactoring. It is usually applied when a method depends more on members of other classes than on its own original class. Several approaches have been proposed to recommend Move Method refactoring automatically. Most of them are based on heuristics and have certain limitations (e.g., they depend on the selection of metrics and manually-defined thresholds). In this paper, we propose an approach to recommend Move Method refactoring based on a path-based representation of code called code2vec that is able to capture the syntactic structure and semantic information of a code fragment. We use this code representation to train a machine learning classifier suggesting to move methods to more appropriate classes. We evaluate the approach on two publicly available datasets: a manually compiled dataset of well-known open-source projects and a synthetic dataset with automatically injected code smell instances. The results show that our approach is capable of recommending accurate refactoring opportunities and outperforms JDeodorant and JMove, which are state of the art tools in this field.

show abstract

Section: Ensemble Methodsmentioning

confidence: 99%

Recommendation of Move Method Refactoring Using Path-Based Representation of Code

Kurbatova¹,

Veselov²,

Golubev³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…It has already been mentioned in Section 2 that specialists have constantly done their best in order to streamline the modelling of a software system [9]. With the risk to alienate part of the specialists that have already studied the same topic, it can be stated that the summary of these efforts can be expressed as follows:…”

Section: The Historic Premises Of a Quality Modelling Endeavourmentioning

confidence: 99%

Remarks on Interface Oriented Software Systems Modelling

Bocu

2013

INT J COMPUT COMMUN

View full text Add to dashboard Cite

This paper explores the foundations regarding the systematic usage of the concept of interface in order to sketch a methodological approach, in which the fundamental perspectives that guide the abstracting of a software system solution (referred to as UP, SP and BP in the paper) are unified, with the goal to optimally derive the behaviour of the system from its structure. Moreover, this is very useful for opening new avenues in order to address the shortcomings that are provoked by changes, considering a software system that is conceived at an industrial scale.

show abstract