Automatically Categorizing Software Technologies

Abstract

The following research aims to create an automatic detection of programing language. Taking source codes of a programing language as an input and giving output the names of the programming languages of the respective input data. Due to unstructured form of the literature and data available on internet and data repositories regarding this topic, it is hard for researchers and users to manage that kind of data easily. Categorization is the best way to develop formal knowledge base of unstructured data in a formal way by considering source code of different programming languages and relationship of data available. Detection of programing languages related research slightly increases in recent years as it is not easy to develop expert systems or artificial intelligence-based systems using raw data of huge amount of source codes. In this research Resource description framework data regarding the source code of programming languages such as C, C++, Python etc. has been collected and used for developing a system which not only detect the name of the language whose source code is entered, but also ensures maximum attainable level of accuracy. Existing available detection tools rather focuses on the lack of informal language and software technology standard taxonomy makes it impossible to analyze technology trends on forums and other online sites. Furthermore, it defines its function (commercial, PHP). By extension, this method can dynamically compile the list using all technologies of a given type.