International Business Machines Corporation

Yukiko Hara

Toshiaki Yasue

Kohichi Ono

Nobuhiro Hosokawa

Hiroaki Nakamura

Alisa Ooka

A computer-implemented method for detecting code regions related to specific processes in an application is provided including obtaining a call-graph of an application, each node of the call-graph representing a program in the application and each edge of the call-graph representing a call between programs, detecting merge points in the call-graph where paths from different entry points are merged, dividing the call-graph into sub-call-graphs at the merge points to create a macro-call-graph, each node of the macro-call-graph representing each of the sub-call-graphs, detecting code regions related to specific processes in each program in the application based on variable names corresponding to the specific processes, setting an initial state to each entry point of the sub-call-graphs, and identifying sub-call-graphs related to each specific process by using dataflow analysis with the initial states and the code regions based on entry states of the sub-call-graphs.

Detecting business code areas in a mainframe application

Systems and methods for quality analysis of a source code are disclosed. The method includes obtaining plural comments included in the source code. Each of the plural comments includes at least one of plural predetermined words. Also the method extracts plural candidate comments which are comments obtained by excluding plural specific comments from the obtained plural comments. Each of the plural specific comments can be identified using a similarity between a source code fragment relating to any of the obtained plural comments and an adjacent source code fragment adjacent to the source code fragment. In addition, the method outputs an evaluation about incompletion of the source code. The evaluation is determined using the plural candidate comments.

Quality analysis of source code

A computer-implemented method is provided for detecting characteristics of usages of problem expressions for each of multiple authors. The method includes providing, by a hardware processor, a set of regular expression patterns configured to detect the problem expressions. The method further includes detecting, by the hardware processor based on the set of regular expressions, respective sets of the problem expressions which are (i) used in each of multiple analysis units, (ii) associated with a respective one of each of the multiple authors, and (iii) associated with a respective one of each of multiple artifact types. The method also includes finding, by the hardware processor using automatic feature selection, a set of important expressions in the respective sets of problem expressions. The method additionally includes detecting, by the hardware processor, a typical tendency of the usages of the problem expressions for each of the multiple authors, based on the important expressions.

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Kanagawa-ken, Japan

Yukiko Hara