Transferring Code-Clone Detection and Analysis to Practice

Dang, Yingnong; Zhang, Dongmei; Song, Ge; Huang, Ray; Chu, Chengyun; Xie, Tao

doi:10.1109/icse-seip.2017.6

Cited by 24 publications

(9 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies prove that machine-learning algorithms are suitable for incremental clone detection process and wide in industrial practice [23], [24], [25]. In our research work, optimized code manager based on support vector machine is used.…”

Section: Proposed Approachmentioning

confidence: 99%

Metric level based code clone detection using optimized code manager

Kaur¹,

Sharma²

2018

IJET

View full text Add to dashboard Cite

Object-oriented programming today, is the main prototype in typical software development. Code Cloning defines generally, all through the designing and development of software systems. Detection can be based on Textual analysis, Lexical analysis, Syntax analysis, Semantic analysis, Hybrid analysis and Metric analysis. The major drawback of the present research is that it focuses more on fragments of copied code and does not focus on the aspect that the fragments of duplicated code are may be part of a larger replicated program structure. In this process, techniques take a lot of time and it creates complexity. In our research, a source code is then scanned for detecting various methods by adopting a “OPTIMIZED SVM ALGORITHM” and the method definitions are extracted and collected by means of a CLONE CODE and saved for further reference. To evaluate the performance parameters we calculate the LOC, the number of repetitions, and maximum and minimum LOC. To enhance the performance metrics precision recall, accuracy and reduce the error rate and time complexity

show abstract

Section: Proposed Approachmentioning

confidence: 99%

Metric level based code clone detection using optimized code manager

Kaur¹,

Sharma²

2018

IJET

View full text Add to dashboard Cite

show abstract

“…Identified code reuses across projects can be used for several applications. Dang et al [25] reported that Microsoft developers use code clone information to fix bugs in multiple products at once. Rubin et al [26] reported that industrial developers extract reusable components as core assets from existing software products.…”

Section: A Cross-project Code Clonesmentioning

confidence: 99%

Research Artifact: The Potential of Meta-Maintenance on GitHub

Hata

Kula

Ishio

2021

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

View full text Add to dashboard Cite

Online collaboration platforms such as GitHub have provided software developers with the ability to easily reuse and share code between repositories. With clone-and-own and forking becoming prevalent, maintaining these shared files is important, especially for keeping the most up-to-date version of reused code. Different to related work, we propose the concept of meta-maintenance-i.e., tracking how the same files evolve in different repositories with the aim to provide useful maintenance opportunities to those files. We conduct an exploratory study by analyzing repositories from seven different programming languages to explore the potential of meta-maintenance. Our results indicate that a majority of active repositories on GitHub contains at least one file which is also present in another repository, and that a significant minority of these files are maintained differently in the different repositories which contain them. We manually analyzed a representative sample of shared files and their variants to understand which changes might be useful for meta-maintenance. Our findings support the potential of meta-maintenance and open up avenues for future work to capitalize on this potential.

show abstract

“…There are GUI tools to support the task of investigating the source files that include code clones: Gemini [48](a GUI frontend of CCFinder), AJDT Visualizer [47](an Eclipse plug-in using CloneDR as a clone detection engine), Shinobi [25](a plug-in for Visual Studio IDE), VisCad [1](a front-end of NiCad), XIAO [9](another plug-in for Visual Studio IDE), and Clone Swarm [3](a tool to display clone classes ranked by frequency of modification).…”

Section: B Code-clone Investigationmentioning

confidence: 99%

Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones

Nishioka¹,

Kobayashi²

2021

Preprint

View full text Add to dashboard Cite

Investigating the code fragments of code clones detected by code clone detection tools is a time-consuming task, especially when a large number of reference source files are available. This paper proposes (i) a method for clustering a clone class, which is detected by code clone detection tools using syntactic similarity, based on topic similarity by considering its code fragments as sequences of words and (ii) a method for assigning short tags to clusters of the clustering result. We also report an experiment of applying the proposed method to packages of an open source operating system.

show abstract

Transferring Code-Clone Detection and Analysis to Practice

Cited by 24 publications

References 17 publications

Metric level based code clone detection using optimized code manager

Metric level based code clone detection using optimized code manager

Research Artifact: The Potential of Meta-Maintenance on GitHub

Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones

Contact Info

Product

Resources

About