International Business Machines Corporation

Robert Peter Catalano

Andrew C M Hicks

Tyler Vezio Rimaldi

Daniel Nicolas Gisolfi

Anthony Thomas Sofia

Michael E Gildein

Connor T Hayes

An approach to identifying the use of deprecated source code in software repositories and recommending a replacement. Parsing one or more software repositories for software source code, identified as deprecated, by a machine learning model. Responsive to identifying the deprecated software source code, alerting a first one or more software developers responsible for maintaining a software source code module using the deprecated software source code; and recommending an alternative software source code for use in the software source code module to replace the deprecated software source code to the first one or more software developers.

Machine learning based deprecated software identification

A computer-implemented method includes receiving a portion of code, inputting the received portion of code to a probabilistic data structure to determine whether the portion of code is similar to one or more other portions of code, and based on determining that the one or more other portions are similar to the received portion of code, identifying a number of similar portions of code. The method also includes storing relationship data that associates the similar portions of code with the received portion of code, determining one or more subject matter experts (SMEs) associated with the similar portions of code and the received portion of code and determining correlations between SME data and the relationship data, and storing the SME data and the correlations, the SME data including an indication of the determined SMEs, the relationship data correlating the one or more SMEs to the received portion of code.

Subject matter expert identification and code analysis based on a probabilistic filter

Aspects of the invention include determining, by a processor, a code segment of a computer code, analyzing the code segment to determine one or more other code segments associated with the code segment, determining a set of subject matter experts (SMEs) associated with the code segment and the one or more other code segments, obtaining SME data for each SME in the set of SMEs, wherein the SME data comprises a set of attributes associated with the SME, generating, by the processor, a graphical representation of the set of attributes for each SME in the set of SMEs, transforming the graphical representations into an eigenvectors and eigenvalues, and ranking the SMEs based on their associated eigenvectors and eigenvalues.

Compressing multi-attribute vector into a single eigenvalue for ranking subject matter experts

Described are techniques for code review using Quantitative Linguistics (QL). The techniques include comparing received code to one or more repositories of code and identifying one or more portions of rare code in the received code that satisfy a rarity threshold relative to the one or more repositories of code. The techniques further include generating annotated code by annotating the received code at the one or more portions of rare code and transmitting the annotated code to a testing platform.

Code review using quantitative linguistics

Techniques for subject matter expert identification for computer software are described herein. An aspect includes receiving a search string. Another aspect includes searching a plurality of library usage data files to determine a selected library corresponding to the search string. Another aspect includes determining a location of a library call corresponding to the selected library in source code. Another aspect includes determining a computer programmer associated with the determined location based on version control metadata corresponding to the source code. Another aspect includes identifying the determined computer programmer as a subject matter expert for the selected library.

Subject matter expert identification for computer software

Embodiments include methods, and computer system, and computer program products for generating ease of use interfaces for legacy system management facilities (SMF). Aspects include: retrieving an SMF record from an SMF data source through an SMF data interface from a file, over a network or via a real-time API, SMF record having a data control section (DSECT) with code comments for storing a mapping of SMF record defining data structure of SMF record with one or more fields, converting mapping of SMF record into an intermediate format representing mapping of SMF record and corresponding information extracted from the code comments among the one or more fields of SMF record, generating at least one application programming interface (API) in a different computer language using intermediate format, and accessing SMF record using API generated. Different computer language may include Java and intermediate format may include Extensible Markup Language (XML).

Growing community of inventors

Montgomery, NY, United States of America

Robert Peter Catalano