jplag | JPlag - Detecting Software Plagiarism | Computer Vision library

by jplag Java Version: v2.12.1-SNAPSHOT License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | jplag Summary

jplag is a Java library typically used in Artificial Intelligence, Computer Vision applications. jplag has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

JPlag - Detecting Software Plagiarism

Support

Quality

Security

License

Reuse

Support

jplag has a low active ecosystem.

It has 501 star(s) with 168 fork(s). There are 33 watchers for this library.

It had no major release in the last 12 months.

There are 31 open issues and 40 have been closed. On average issues are closed in 445 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jplag is v2.12.1-SNAPSHOT

Quality

jplag has 0 bugs and 0 code smells.

Security

jplag has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jplag code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jplag is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

jplag releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

jplag saves you 16249 person hours of effort in developing the same functionality from scratch.

It has 32333 lines of code, 2325 functions and 258 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed jplag and discovered the below as its top functions. This is intended to give you an instant insight into jplag implemented functionality, and help decide if they suit your requirements.

Checks if the token stream is a binary operator
Finds the index of the next operator
Checks if token is a character from bit set
Fills the token stream
Starts the JPlag
Calculate the community strength of a list of integers
Builds the options instance from the given namespace
Compute the hashes for all subsequences in the specified window
Adds the start index to the map
Performs the clustering
Visits a terminal node
Converts a match into a report match
Overrides the visitor to look for methods
Checks if the next op is next to the token stream
Compares the submissions
Visits a new array
Prints all errors
Checks if the token is an operator
Visits a IF - if node
Returns true if the token stream is a prefix operator
Returns true if the token is a post - operator
Preprocess the similarity matrix
Parse the command line argument parser with the given parser
Overrides the visitor to collect classes
Determines whether the given token stream starts at the given index
Reads a character from the stream

Get all kandi verified functions for this library.

jplag Key Features

No Key Features are available at this moment for jplag.

jplag Examples and Code Snippets

No Code Snippets are available at this moment for jplag.

Community Discussions

Trending Discussions on jplag

IBM Watson: search similar patterns between structural files

QUESTION

IBM Watson: search similar patterns between structural files

Asked 2017-Sep-26 at 12:46

I need to develop an application to detect plagiarism imprint in source codes using a cognitive system, such as Watson. At this time I'm using Jplag (https://github.com/jplag/jplag) to analyze source codes and get tokenized files.

Here my problems, I have seen that Watson is a highly used system for unstructured files analysis. Instead, tokenized files are highly structured and can not be analyzed with most of the services provided by IBM Watson. For example, Watson Discovery can provide information about feelings or topics, within an email or publication and finds links between the files that make up the corpus. Unfortunately, Watson can not read the tokenized file for this purpose (or I do not know how to do it).

I have found Watson Analytics and it should provide correlation between numeric and structured files. But I can't reach the trial period so I can't test it.

I wonder if I can use Watson Analytics for my purpose. Should I insist in this way or did I miss some suggestion?

...

ANSWER

Answered 2017-Sep-26 at 12:46

Have you tried Watson Content Analytics? It supports tokenization, and hopefully help you find the plagiarism in the source code files.

I am not 100% sure, it is what you are looking for but here is more information about it: https://www.ibm.com/support/knowledgecenter/en/SS5RWK_3.5.0/com.ibm.discovery.es.ta.doc/iiysputai.htm

Watson Analytics, however, might not be a good fit for your project.

Source https://stackoverflow.com/questions/46318928

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jplag

You can download it from GitHub.
You can use jplag like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jplag component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .