US 2017/0286103 A1 · IDENTIFYING AND CORRELATING SEMANTIC BIAS FOR CODE EVALUATION

Abstract

System and techniques are disclosed for associating annotation semantic bias with program code. A pre-processor partitions an annotation from program statements contained within one or more source files. A lexical parser generates program statement tokens corresponding to the program statements, wherein each of the program statement tokens associates program statement text with a programming language lexeme category. The lexical parser generates one or more annotation tokens that each correspond to the annotation, wherein each of the annotation tokens associates annotation text with a natural language lexeme category. A syntactic analyzer compares the program statement tokens with the annotation tokens. A semantic analyzer determines a semantic correlation between the annotation and one or more of the program statements based, at least in part, on the results of the syntactic analyzer's comparing. A bias analyzer determines a semantic bias associated with at least one of the annotation tokens and a result processor associates at least one of the one or more program statements with the determined semantic bias based, at least in part, on the determined semantic correlation.

Claims20

Dependent claims

A method for associating annotation semantic bias with program code, said method comprising:

separating an annotation from program statements contained within one or more source files;
generating program statement tokens corresponding to the program statements, wherein each of the program statement tokens associates program statement text with a programming language lexeme category;
generating one or more annotation tokens that each correspond to the annotation, wherein each of the annotation tokens associates annotation text with a natural language lexeme category;
comparing the program statement tokens with the annotation tokens;
determining a semantic correlation between the annotation and one or more of the program statements based, at least in part, on a result of said comparing;
determining a semantic bias associated with at least one of the annotation tokens;
and
associating at least one of the one or more program statements with the determined semantic bias based, at least in part, on the determined semantic correlation.

5 more elements

One or non-transitory more machine-readable storage media having program code for associating annotation semantic bias with program statements stored therein, the program code to:

partition an annotation from program statements contained within one or more source files;
generate program statement tokens corresponding to the program statements, wherein each of the program statement tokens associates program statement text with a programming language lexeme category;
generate one or more annotation tokens that each correspond to the annotation, wherein each of the annotation tokens associates annotation text with a natural language lexeme category;
compare the program statement tokens with the annotation tokens;
determine a semantic correlation between the annotation and one or more of the program statements based, at least in part, on a result of said comparing;
determine a semantic bias associated with at least one of the annotation tokens;
and
associate at least one of the one or more program statements with the determined semantic bias based, at least in part, on the determined semantic correlation.

5 more elements

An apparatus comprising:

a processor;
and
a machine-readable medium having program code executable by the processor to cause the apparatus to,
partition an annotation from program statements contained within one or more source files;
generate program statement tokens corresponding to the program statements, wherein each of the program statement tokens associates program statement text with a programming language lexeme category;
generate one or more annotation tokens that each correspond to the annotation, wherein each of the annotation tokens associates annotation text with a natural language lexeme category;
compare the program statement tokens with the annotation tokens;
determine a semantic correlation between the annotation and one or more of the program statements based, at least in part, on a result of said comparing;
determine a semantic bias associated with at least one of the annotation tokens;
and
associate at least one of the one or more program statements with the determined semantic bias based, at least in part, on the determined semantic correlation.

8 more elements

Dependencies are inferred from the claim text.

Identifying and correlating semantic bias for code evaluation

Life of this patent

Identifying and correlating semantic bias for code evaluation

Life of this patent

Abstract

Claims20