Refactoring patterns study in code clones during software evolution

Kanwal, Jaweria; Inoue, Katsuro; Maqbool, Onaiza

doi:10.1109/iwsc.2017.7880508

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Category C represents quality attributes related to software changeability [22][23] [24]. It represents that software should be responsive to change (should be easy to upgrade and its functionalities should be easily extended without taking too much down or losing data), maintainable (should be updateable easily) [25][26] [29]. Category D represents quality attributes related to the reliability of a software system.…”

Section: Resultsmentioning

confidence: 99%

Role of Agile Methodologies for Ensuring Quality in Complex Systems: A Systematic Literature Review

Ullah

Kanwal

Gillani

et al. 2022

IJIST

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In software development, the selection of a software process model set the base for the success of a software product. An inappropriate selection may lead to a delay in project release, introduce defects and make the project difficult to update. This lack of quality characteristics may lead to the risk of losing customer expectations as well as the failure of the project itself. In the case of complex systems, the problems become more severe. To meet such expectations, agile methodologies are used to ensure quality in software and meet customers’ expectations. There is currently no literature that gives insights into the role of agile methodologies in ensuring quality in complex systems. The purpose of this paper is to evaluate the effectiveness and the impact of agile methodology in achieving the quality of complex systems. For this, we perform a Systematic Literature Review (SLR) and define a review protocol. By performing a thorough search and screening, we selected 39 papers related to agile methods and complex systems. Our analysis shows that complex systems have various requirements of quality attributes some of the complex systems mainly focus on security, reliability, and efficiency whereas other emphasizes safety, response time, and maintainability. Our analysis also shows that agile methodologies are widely used for the development of complex systems because ensuring the quality requirements of complex systems is not possible with the use of traditional methods of software development.

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Section: Resultsmentioning

confidence: 99%

Role of Agile Methodologies for Ensuring Quality in Complex Systems: A Systematic Literature Review

Ullah

Kanwal

Gillani

et al. 2022

IJIST

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our previous work [13], we investigated how frequently code clones are refactored between releases. In this paper, we extend our study by performing a longitudinal study on five Java systems to investigate code clone refactoring performed on them between the releases.…”

Section: Introductionmentioning

confidence: 99%

Historical perspective of code clone refactorings in evolving software

et al. 2022

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Cloning in software is generally perceived as a threat to its maintenance and that is why it needs to be managed properly. Understanding clones from a historical perspective is essential for effective clone management. Analysis of code refactorings performed on clones in previous releases will help developers in taking decisions about clone refactoring in future releases. In this paper we perform a longitudinal study on the evolution of clone refactorings in various versions of five software systems. To perform a systematic study on clone refactoring evolution, we define clone evolution patterns for studying refactorings in a formal notation. Our results show that only a small proportion of code clones are refactored between the versions and most of the refactorings are inconsistent within clone classes. Moreover, clone refactorings may cause clone removal. Analysis of the source code of refactored clones reveals similar reasons of inconsistent refactorings and clone removal for five Java systems. This analysis will help in devising appropriate strategies for managing clone refactorings in software and hence provide foundation for devising better clone management tools.

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“…As a fundamental task in the software engineering area, code clone can be involved in a series of downstream applications including code searching, 4,5 code reusing, code refactoring, [6][7][8] plagiarism detection, 9,10 copyright infringement investigation, 11 and code compaction. 12 In a general routine, code clone detection starts with learning the low-dimensional vector representations of code fragments, which subsequently can be used for similarity calculation and code clone identification between code fragments.…”

mentioning

confidence: 99%

GRRLN: Gated Recurrent Residual Learning Networks for code clone detection

Zhang,

Liu,

Shi

2024

J Software Evolu Process

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Code clone detection is a critical problem in software development and maintenance domains. It aims to identify functionally identical or similar code fragments within an application. Existing works formulate the code clone detection task as a binary classification problem which predicts a code pair as a clone or not based on a pre‐defined threshold. In reality, there are various types of code clone subject to the degree of how a pair of code fragments are similar to each other. To investigate the effect of different code clone detection manners on the clone detection result, we propose Gated Recurrent Residual Learning Networks (GRRLN), a novel neural network model for code clone detection. To train GRRLN, we first represent each code fragment as a statement‐level tree sequence derived from the whole abstract syntax tree (AST). Then, a gated recurrent neural network with residual connections is adopted to fully extract the semantics of all individual statement trees together with their dependency relationships across the input statement sequence. Finally, the output representations of code fragments by GRRLN are used for similarity calculation and clone detection. We evaluate GRRLN using two real‐world datasets for code clone detection and clone type classification. Experiments show that GRRLN achieves promising and compelling results and meanwhile needs significantly less time and memory consumption compared with the state‐of‐the‐art methods.

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Refactoring patterns study in code clones during software evolution

Cited by 4 publications

References 5 publications

Role of Agile Methodologies for Ensuring Quality in Complex Systems: A Systematic Literature Review

Role of Agile Methodologies for Ensuring Quality in Complex Systems: A Systematic Literature Review

Historical perspective of code clone refactorings in evolving software

GRRLN: Gated Recurrent Residual Learning Networks for code clone detection

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