In this paper, the author is
discussing the new technology that is related to clone searching. This is one
of the best technology for searching. This paper discusses the complete detail
about the cloned search in detail with comprehensive information. It can be
noted that this technology can be easily incremental, scalable and accurate to
use for more than 100 lines of the code. This technology is using multiple different
codes. These lines of the code are reducing the main queries and also help to
customize the main rankings. Through these lines of codes, there is a huge
increment in the clone searching.
The author is just implementing this
technique in the clone search tool, and he named this technique as Siamese.
This new technique is enhancing the accuracy of the search and also scale it on
the basis of clone data sets. One of the most important things about this
technology is that it is providing the highest mean precision, and it is about
96 to 99%. This technology is also scalable, and it is quite easy for the user
to check the cloned code snippets.
Moreover, this technology is also using an index of 131,307 GitHub
projects. This paper is also discussing some important reasons for the indexing
capabilities of the new technology for the clone search. The author gave proper
information about the clone searching at the start.
At the start, there were a lot of
problems with the clone searching tools. For overcoming these challenges, there
is a need for new technology that can easily solve this issue.
The best thing about the paper:
The best thing about this paper is
that the author's tone is extremely informative. There is complete information
in the introduction section about the clone searching and its main problems.
Then after this, there is information above the new technology in the clone
searching, and it is related to the Siamese. Furthermore, the author is
demonstrating all-important details about this technology in detail and its
important features. There is proper information about each and every part of
its architecture.
A few consideration:
Although this new technology for the
clone search is good because it is overcoming different challenges. But there
are still some thereat that are disturbing the validity of this technology. From
them, the first one is related to the validity of the internal and construct a structure
of the data sets for the Siamese. In this paper, there are some multiple data
sets evaluated in a proper way that is giving proper information about this
technology. Moreover, this clone search technology is also compared with seven
other states of art detectors that are working on the change in the optimal
configuration.
Final words:
There are some defects in this
technology. These flaws can be overcome easily through the introduction of
alternative. First of all, they must have to overcome the query reduction my
introducing different new techniques. Overall this paper is providing
comprehensive information about the advantages and some disadvantages of this
technology. Through the help of this paper, it will become extremely easy to
evaluate the main framework of the Siamese. This technology is extremely
beneficial for enhancing the scalability of clone searching.