PYREF: Refactoring Detection in Python Projects

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

doi:10.1109/scam52516.2021.00025

Cited by 13 publications

(3 citation statements)

References 10 publications

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“…As a second practical implication, we showed that composite refactorings are not properly identified by refactoring detection tools, such as RefactoringMiner [4][5][6] and RefDiff. [7][8][9] Typically, these tools detect the parts of composite refactorings as independent operations.…”

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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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: Discussionmentioning

confidence: 99%

“…However, the current refactoring detection tools do not support this composite. [4][5][6][7][8][9] In Collapse Hierarchy, we eliminate subclasses by moving all elements to the superclass. Therefore, Composite Pull Up Method can be a part of this operation.…”

Section: Catalog Of Refactoringsmentioning

confidence: 99%

Towards a catalog of composite refactorings

Brito

Hora

Valente

2023

J Software Evolu Process

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“…Comprehending the way that the developers refactor source code might help to understand the process of software development and how different system versions interact. Different prominent programming languages, like Python and Java, offer refactoring detection tools [12] . 2-Designs: Refactoring at the level of the design, for instance in a UML model form, is a contemporary research topic.…”

Section: Types Of Software Artifactsmentioning

confidence: 99%

Software Code Refactoring: A Comprehensive Review

Al-shakarjy¹,

Taha²

2023

JES

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The complexity of software has increased because of the development as well as the difficulty of requirements during the development of software, or to add new features that eventually lead to reduce the quality of the software as a whole. Software refactoring can be defined as included processes in the maintenance period of a software life cycle, and it is a technique to clean the software code from code bad smell and to improve the internal structure of the software, in addition to increasing the quality of software by using a set of activities without changing the external behavior of a software. Researchers have been developing techniques to reform software during the code or design standard to decrease the effort and time required for maintenance processes. This paper provides a systematic review of the literature for 17 studies of code standards, An automatic search is utilized in the digital libraries to look for the relevant studies that were published from 2014 to 2021, the best five researchers are chosen in this subject, five studies or less are chosen for each depending on the number of reference in the database of scientific sites, or using an approach or a new method to get good results. Eventually, each paragraph is analyzed and mentions the method or algorithm used in rebuilding software, further the aims, and the result for each paper.

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