(CLSCR) Cross Language Source Code Reuse Detection using Intermediate Language

ABSTRACT In today's digital era information access is just a click away. so computer science students also have easy access to all the source codes from different websites thus it has become difficult for academicians to detect source code reuse in students programming assignments. The new trend in the area of source code reuse is using the source code by translating it in another programming language popularly known as cross language plagiarism. Our CLSCR addresses this problem. CLSCR mainly has two components: A compiler that compiles and translates the language specific source code into a tool specific internal format and The Similarity calculator that computes similarity between internal formats of different programs

The Multimodal Extension of the Balakrishnan Alpha Skew Normal Distribution: Properties and Applications

This paper introduces a new class of Balakrishnan distribution by extending the multimodal skew-normal distribution proposed by Chakraborty et al. (2015). Statistical properties of the new family of distributions are studied in detail. In particular, explicit expressions of the density and distribution function, moments, skewness, kurtosis and the moments generating function are derived. Furthermore, estimation of the parameters using the maximum likelihood method of the new family of distributions is considered. Finally, the paper ends with an illustration of real-life data sets and then comparing the value of Akaike Information Criterion and Bayesian information criterion of the new distribution with some other known distributions. For the nested models, the Likelihood Ratio Test is carried out