Source code plagiarism, known as programming plagiarism is a duplicate copy of the original work. When any programmer copies the code without knowledge of its source or without giving due credit to the original coder or programmer, it is known as plagiarism. Source code plagiarism is strictly prohibited in academics and is least opted by professionals.
If you use another person's source code and claim it yours without attributing it, this means you have plagiarized the work. You can get penalized. Now authentic Source Code Checker is available to detect any kind of plagiarism. It is an authentic engine that highlights the plagiarized parts which helps academics and professionals to find the duplicated codes and do the necessary corrections.
How the source code plagiarism takes place?
In the software industry, developers work in collaboration with each other. The end objective is to create software which they can use for sale or consumption. Due to the collaborative nature of development, the open-source core is accessible for sharing. type of code is available in online code repositories like Github. In this situation, students and professions copy the source code.
Students and professionals can also assess the code through the question and answer sites and other online resources. These websites offer easy access to code that is not the student's original work. Project deadlines and stressed-out students often are tempted to adopt short-cut methods of finding the solutions.
Ways to mitigate the chances of source code plagiarism
It is imperative to adopt the low-level approach to source code plagiarism detection. In spite of dependency on source code tokens, the process relies on low-level structural representation. However, now low-level approaches are not suitable for large-sized source codes. The comparison takes quadratic or cubic time complexities. Now you can utilize a more efficient tool source code checker, to detect any part or whole of plagiarized work. The tool highlights the potential code by highlighting similarities from billions of sources on the web or works of peers.
The plagiarism engine will operate against both internal as well external sources to detect all types of unoriginal code.
Detecting Plagiarism
Earlier, researchers have been using programs similar to metrics to find plagiarism like MOSS. However, many of the well-known automatic code comparison tools use a text-based approach or use the features dependent on the property of the assignments at a syntactic level for finding the duplicate work. However, in all these approaches you do not get a clear picture, which is a hindrance to automatic plagiarism detection. MOSS is dependent on the property of the assignment at a syntactic level. It uses winnowing, which is a local fingerprinting algorithm. MOSS fingerprint selection is not exact or anywhere accurate and on top of it, you tend to perform the common sequence search.
You can use a representation of source code with the use of five features; stylistic feature, comments, lexical, text, and structure feature. Especially, for the lexical, comments, and programmers text features, they represent the set of characters n-grams. The main objective is to use the features as cues in plagiarism detection.
However, even while detecting pairs on a massive scale poses a new set of issues. Two source codes are considered as near-duplicate if they vary slightly. A couple of approaches are adopted for near duplicity, however, it is not possible to detect duplicates. With the appearance of the best approaches and mechanisms, it has become considerably easy to check source code similarities and potential chances of plagiarism.
Businesses are also using source code checkers to check if any code inside could infringe on your protected copyright code. With the use of a web checking engine, you can highlight any infringement in the potential code allowing investigators to investigate. You can also deeply check to certify your codebase as copyright and license infringement free of cost.
Now the popularly used Source Code Checker is CodeQuiry. It is one of the best plagiarism detection services that you can use in a variety of applications and a range of industries. The plagiarism engine determines the potentiality of duplicated code or any of its chances of getting stolen. Companies depend on external code, but by integrating the copyrighted copy business can face legal liability. The engine can compare the fingerprint of one code with another, detect similar code lines and find out any chances of similar code when the codes are submitted in groups. It is a very authentic and best way to detect plagiarism and prevent the future chance of plagiarism.
Read More: Uncovering The Importance Of A Python Plagiarism Checker