PyRef: Refactoring Detection in Python Projects

Atwi, Hassan; Lin, Bin; Tsantalis, Nikolaos; Kashiwa, Yutaro; Kamei, Yasutaka; Ubayashi, Naoyasu; Bavota, Gabriele; Lanza, Michele

doi:10.26226/morressier.613b54401459512fce6a7cd8

Cited by 3 publications

(6 citation statements)

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“…Particularly, they are described as source code transformations that can be performed by a single developer, in a short time frame (time constraint) and by impacting a limited number of program elements (scope constraint). This understanding of refactoring is also assumed by modern refactoring detection tools, such as RefactoringMiner 4–6 and RefDiff 7–9 . Indeed, these tools report refactorings at a very fine granularity level.…”

Section: Introductionmentioning

confidence: 83%

“…As a second practical implication, we showed that composite refactorings are not properly identified by refactoring detection tools, such as RefactoringMiner 4–6 and RefDiff 7–9 . Typically, these tools detect the parts of composite refactorings as independent operations.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, it is a subcategory of Class Decomposition. However, the current refactoring detection tools do not support this composite 4–9 . In Collapse Hierarchy, we eliminate subclasses by moving all elements to the superclass.…”

Section: Related Workmentioning

confidence: 99%

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Towards a catalog of composite refactorings

Brito

Hora

Valente

2023

J Software Evolu Process

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Catalogs of refactoring have key importance in software maintenance and evolution, since developers rely on such documents to understand and perform refactoring operations. Furthermore, these catalogs constitute a reference guide for communication between practitioners since they standardize a common refactoring vocabulary. Fowler's book describes the most popular catalog of refactorings, which documents single and well‐known refactoring operations. However, sometimes, refactorings are composite transformations, that is, a sequence of refactorings is performed over a given program element. For example, a sequence of Extract Method operations (a single refactoring) can be performed over the same method, in one or in multiple commits, to simplify its implementation, therefore, leading to a Method Decomposition operation (a composite refactoring). In this paper, we propose and document a catalog with eight composite refactorings. We also implement a set of scripts to mine composite refactorings by preprocessing the results of refactoring detection tools. Using such scripts, we search for composites in a representative refactoring oracle with hundreds of confirmed single refactoring operations. Next, to complement this first study, we also search for composites in the full history of 10 well‐known open‐source projects. We characterize the detected composite refactorings, under dimensions such as size and location. We conclude by addressing the applications and implications of the proposed catalog.

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Section: Introductionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Towards a catalog of composite refactorings

Brito

Hora

Valente

2023

J Software Evolu Process

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“…Refactorings are detectable through the utilization of both automated and manual tools. In software maintenance projects, automated refactoring detection tools outperform their manual counterparts [23], [24], [25], [26]. VOLUME XX, 2024…”

Section: A Refactoringmentioning

confidence: 99%

“…We collected all the refactorings applied to the selected open-source software projects. We used PyReff [23] and RefDiff [53] to facilitate the identification of applied refactorings. PyReff is a tool that was developed specifically for mining refactoring operations in Python projects.…”

Section: B Previous Refactorings Detectionmentioning

confidence: 99%

On the Impact of Refactorings on Software Attack Surface

Edward,

Nyamawe,

Elisa

2024

IEEE Access

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Refactoring is one of the techniques mostly employed by software developers to improve the quality attributes of their systems. However, little has been done to investigate how refactoring operations specifically aimed at improving the internal structure of software can impact its security. Refactoring usually entails different code change operations including the decomposition of classes, methods, and the reallocation of code elements. While this refinement aims to improve the internal design of a system, it might inadvertently disperse security-critical code elements throughout the codebase. Consequently, such dispersion could affect the software attack surface. To this end, this paper presents an empirical study of 30 open-source software systems developed in Python, C, and Javascript. The study scrutinized two subsequent versions of each subject application to uncover the refactoring operations applied and the trend of the software attack surface. Specifically, the study focused on the injection or removal of bugs, code smells and other vulnerabilities aiming to discern the impact of refactorings on the software attack surface. Data was collected using wellknown tools, namely SonarQube, RefDiff, and PyReff. The findings suggest that refactorings can have multiple impacts (i.e., positive, negative, or neutral) on bugs, code smells, and vulnerabilities. The findings further confirm that developers must be aware of the combination or sequence of refactoring operations that can improve software quality without compromising its security.

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Deep learning with class-level abstract syntax tree and code histories for detecting code modification requirements

Büyük,

Nizam

2023

Journal of Systems and Software

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PyRef: Refactoring Detection in Python Projects

Cited by 3 publications

References 0 publications

Towards a catalog of composite refactorings

Towards a catalog of composite refactorings

On the Impact of Refactorings on Software Attack Surface

Deep learning with class-level abstract syntax tree and code histories for detecting code modification requirements

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