Struggling with Code Duplication? Try this Code Similarity Checker

Source code plagiarism is a global issue, usually rampant in universities. Students tend to pick someone else’s code and reproduce it, without giving credit to the source. Robbing people of their time and efforts, plagiarism is more than just an ethical issue. In fact, peer-to-peer sharing of programming software and languages can also lead to this situation.

Educational institutions constantly battle to avoid plagiarism among students, through appropriate awareness initiatives. However, the temptation is not limited to learners alone. The problem is also noticed among professional circles. To tackle the situation, pick an artificial intelligence-based code similarity checker to detect even small fragments of copied codes. Take a look at how it can help you stay safe from plagiarism.

Benefits of a Code Similarity Checker

While working with a big team, chances are, two members might unintentionally come up with the same code. To ensure that the work is absolutely authentic, consider running it through a scanner. The source code is transformed into a machine code, from the raw format. With the help of a plagiarism checker, one can determine if a patented program code has been used from the internet. This helps you detect copied language and lets you get rid of the similarities. The best tools can support all programming languages, including Java, C++, and Python.

The plagiarism software is extremely efficient and produces copied code and the source code side by side. So, whether the programmer has inserted loops or added comments, advanced algorithms are able to detect all alterations and insertions. The objective is to avoid using any copyrighted code (intentionally or unintentionally), which may cause damage to the institution or company (depending on whether a student has copied the code or a professional developer).

Types of Code Similarity Checker

If you are struggling with different languages, each piece of code (written in a different language) can be cross-checked with specific tools. For example, a Java code checker is designed to solely support Java. It is hard to get away with plagiarism due to the sophisticated algorithms.

C++ helps develop operating systems and systems programming, apart from being used for embedded systems in automobiles or appliances. One can also use a C++ code checker to efficiently detect plagiarism in applications within seconds. Similar codes, which might have been copied, are highlighted to help make the necessary corrections.

Lastly, a Python code plagiarism checker can meticulously check for duplication in Python programs. It is a scripting language, usually used in web applications, software development, and graphic interface-based apps and games. Professionally, Python can also be used for data analysis and scientific computing. Given the wide range of use cases, it is crucial to remove plagiarized codes accurately.

Make sure to integrate your system with a code checker that can scan more than two applications simultaneously. This helps save time as well as effort in identifying the plagiarized code and making changes. All you have to do is copy the codes and paste it in the text box and hit the “Scan” button. 

There is never any justification for plagiarism, even when it comes to programming, and doing a similarity check is the only solution. Before submitting your work, pick the right code similarity checker with extensive search capabilities. This way, you can be 100% sure of originality and save yourself from penalties.

About This Author

Shaheen Shaikh http://www.adrclinic.co.uk Joined: April 29th, 2018