Abstract: The present disclosure provides systems and methods for dynamically generating subjective questionnaires on programming concepts in a natural language with desired number of unique questions and having a desired level of difficulty. Conventionally known systems and methods are based on pre-defined templates without any emphasis on logic building for various business scenarios and mostly cater to objective type multiple choice questions. Dynamic generation of subjective questions that are customized to address the needs of each trainee based on an earlier evaluation to make his/her training effective is critical to an effective training. The present disclosure achieves this by providing operations wherein logic building is driven through entities and fields identified for a specific business scenario.

Abstract: Methods systems for detecting of matching content in code files are provided. The method involves generating clusters of code files based on a degree of matching characters contained in each of the code files. A first cluster of code files is identified based on the code files having 100% matching hash codes and at least one second cluster is generated based on a character count generated for the code files that are not part of the first cluster and having a degree of match equal to or greater than a pre-determined percentage match. Such identified first cluster and at least one second cluster of code files are reported to have matching content based on the associated degree of match.

Abstract: The present disclosure provides systems and methods for dynamically generating subjective questionnaires on programming concepts in a natural language with desired number of unique questions and having a desired level of difficulty. Conventionally known systems and methods are based on pre-defined templates without any emphasis on logic building for various business scenarios and mostly cater to objective type multiple choice questions. Dynamic generation of subjective questions that are customized to address the needs of each trainee based on an earlier evaluation to make his/her training effective is critical to an effective training. The present disclosure achieves this by providing operations wherein logic building is driven through entities and fields identified for a specific business scenario.

Abstract: The present disclosure provides quick and computer language independent methods and systems for detecting of matching content in code files. The method involves generating clusters of code files based on degree of match between code files. A first cluster can include code files having 100% matching hash codes. At least one second cluster is generated based on the character count generated for the code files that are not part of the first cluster and having a degree of match equal to or greater than pre-determined values. Such identified first cluster and at least one second cluster of code files can be reported to have matching content based on the associated degree of match.