Abstract: Embodiments of the present disclosure provide to techniques for automatically grouping software applications based on their technical patterns/characteristics (i.e., technical facets) via machine learning (ML) algorithms. For instance, a first set of software applications that exhibit a high prevalence of one or more first technical facets may be grouped into a first category, a second set of software applications that exhibit a high prevalence of one or more second technical facets may be grouped into a second category, and so on. Once grouped into categories, the software applications in a given category may be assessed, analyzed, and/or processed together for various purposes.

Abstract: Embodiments of the present disclosure provide to techniques for automatically grouping software applications based on their technical patterns/characteristics (i.e., technical facets) via machine learning (ML) algorithms. For instance, a first set of software applications that exhibit a high prevalence of one or more first technical facets may be grouped into a first category, a second set of software applications that exhibit a high prevalence of one or more second technical facets may be grouped into a second category, and so on. Once grouped into categories, the software applications in a given category may be assessed, analyzed, and/or processed together for various purposes.

Abstract: A method of analyzing a legacy source code application is described. The method comprises traversing a generated set of entries of a module hash array, a summary count catalog, and an occurrence location catalog to determine duplicate lines of code of the legacy source code application. The method also comprises determining a duplicate sequence of one or more lines of code with respect to at least one other sequence of one or more lines of code of the legacy source code application based on traversal of the generated set of entries of the module hash array, the summary count catalog, and the occurrence location catalog. The method also comprises storing a match result identifying the determined duplicate sequence and the at least one other sequence.

Abstract: A method of analyzing a legacy source code application is described. The method comprises traversing a generated set of entries of a module hash array, a summary count catalog, and an occurrence location catalog to determine duplicate lines of code of the legacy source code application. The method also comprises determining a duplicate sequence of one or more lines of code with respect to at least one other sequence of one or more lines of code of the legacy source code application based on traversal of the generated set of entries of the module hash array, the summary count catalog, and the occurrence location catalog. The method also comprises storing a match result identifying the determined duplicate sequence and the at least one other sequence.