Abstract
The emergence and the progress in the process of reusing the software's, has caused difficulties in the maintaining the software codes and the corresponding depositories. Cloning of software codes is the important reason behind the arising difficulties in the maintenance of the software codes and the depositories. The cloning of codes is a process of replicating the existing codes for utilizing it elsewhere within the software system. The copying and pasting of the fragments of code is also well thought-out as the method of code cloning causing difficulties in the software maintenance. The maintenance of software is described as the alteration performed over the existing software on the completion of the development as well as the implementation process. Utilizing the maintenance process in the software the software companies deliver the improvements and the additional enhancements according to the working circumstance. The maintenance mainly focuses on removing the bugs and to repair the identified faults in the time of execution to enhance the performance. The work focused on the paper is mainly a comprehensive study over the prevailing tools laid out in the process of code-clone identification. The different techniques employed, the challenges incurred, the blunders made in the development, the enhanced refactoring challenges and efforts in the comprehension of codes are explored in the paper. From the study it was understood that the code clone identification using the web based tools are more advantageous than engaging algorithms in identifying the clones. So the a hybridized (meld) web based code clone identifier tool is engaged in the process of identifying the cloning of codes in diverse web browsers in exhibited in the paper. The exhibited tool equips a highly powerful tool for detecting the clones in a precise an efficient manner. The duplication of codes are often vulnerable and could be malicious. So the exhibited work in the future concentrates in developing an extended tool to identify the malicious codes to improvise the process of code clone identification making it concise and effective.
References
Gautam, Pratiksha, and Hemraj Saini. "Various code clone detection techniques and tools: a comprehensive survey." In International Conference on Smart Trends for Information Technology and Computer Communications, pp. 655-667. Springer, Singapore, 2016.
Kim, Miryung, Vibha Sazawal, David Notkin, and Gail Murphy. "An empirical study of code clone genealogies." In Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering, pp. 187-196. 2005.
De Wit, Michiel, Andy Zaidman, and Arie Van Deursen. "Managing code clones using dynamic change tracking and resolution." In 2009 IEEE International Conference on Software Maintenance, pp. 169-178. IEEE, 2009.
Jiang, Lingxiao, and Zhendong Su. "Automatic mining of functionally equivalent code fragments via random testing." In Proceedings of the eighteenth international symposium on Software testing and analysis, pp. 81-92. 2009.
Sharma, Yogita. "Hybrid technique for object oriented software clone detection." PhD diss., 2011.
Roy, Chanchal K., James R. Cordy, and Rainer Koschke. "Comparison and evaluation of code clone detection techniques and tools: A qualitative approach." Science of computer programming 74, no. 7 (2009): 470-495.
Sheneamer, Abdullah, and Jugal Kalita. "A survey of software clone detection techniques." International Journal of Computer Applications 137, no. 10 (2016): 1-21.
Bhalaji, N. "Efficient and Secure Data Utilization in Mobile Edge Computing By Data Replication." Journal of ISMAC 2, no. 01 (2020): 1-12.
Svajlenko, Jeffrey, and Chanchal K. Roy. "Cloneworks: A fast and flexible large-scale near-miss clone detection tool." In 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pp. 177-179. IEEE, 2017.
Pandian, A. Pasumpon, and S. Smys. "Effective Fragmentation Minimization by Cloud Enabled Back Up Storage." Journal of Ubiquitous Computing and Communication Technologies (UCCT) 2, no. 01 (2020): 1-9.
Ghofrani, Javad, Mahdi Mohseni, and Arezoo Bozorgmehr. "A conceptual framework for clone detection using machine learning." In 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 0810-0817. IEEE, 2017.
Raj, Jennifer S. "Efficient Information Maintenance Using Computational Intelligence In The Multi-Cloud Architecture." Journal of Soft Computing Paradigm (JSCP) 1, no. 02 (2019): 113-124.
Smys, S., Robert Bestak, Joy Iong-Zong Chen, and Ivan Kotuliak, eds. International Conference on Computer Networks and Communication Technologies: ICCNCT 2018. Vol. 15. Springer, 2018.