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

A system comprising:

• a memory having computer readable instructions;
• and
• one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
• determining, by the one or more processors, 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 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 a processor, a graphical representation of the set of attributes for each SME in the set of SMEs;
• and
• transforming the graphical representations into an eigenvectors and eigenvalues;
• and
• ranking the SMEs based on their associated eigenvectors and eigenvalues.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:

• determining, by the 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 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 a 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.