Abstract: Techniques are described herein that are capable of detecting accidental algorithmic complexity of a procedure by using instrumentation. A number of times a parent procedure calls a child procedure during each of multiple executions of the parent procedure is detected by using instrumentation to provide call counts for the respective executions. A value of an attribute of the parent procedure during each of the executions is detected by using the instrumentation to provide attribute values for the respective executions. A function is generated that defines a curve that estimates a relationship between the attribute values for the respective executions and the call counts for the respective executions. Based at least on a slope of the curve, accidental algorithmic complexity of the parent procedure is determined. Based at least on the accidental algorithmic complexity satisfying a complexity criterion, a remedial action is performed with regard to the accidental algorithmic complexity.

Abstract: Techniques are described herein that are capable of detecting accidental algorithmic complexity of a procedure by using instrumentation. A number of times a parent procedure calls a child procedure during each of multiple executions of the parent procedure is detected by using instrumentation to provide call counts for the respective executions. A value of an attribute of the parent procedure during each of the executions is detected by using the instrumentation to provide attribute values for the respective executions. A function is generated that defines a curve that estimates a relationship between the attribute values for the respective executions and the call counts for the respective executions. Based at least on a slope of the curve, accidental algorithmic complexity of the parent procedure is determined. Based at least on the accidental algorithmic complexity satisfying a complexity criterion, a remedial action is performed with regard to the accidental algorithmic complexity.

Abstract: Techniques are described herein that are capable of detecting accidental algorithmic complexity of a procedure by using instrumentation. A number of times a parent procedure calls a child procedure during each of multiple executions of the parent procedure is detected by using instrumentation to provide call counts for the respective executions. A value of an attribute of the parent procedure during each of the executions is detected by using the instrumentation to provide attribute values for the respective executions. A function is generated that defines a curve that estimates a relationship between the attribute values for the respective executions and the call counts for the respective executions. Based at least on a slope of the curve, accidental algorithmic complexity of the parent procedure is determined. Based at least on the accidental algorithmic complexity satisfying a complexity criterion, a remedial action is performed with regard to the accidental algorithmic complexity.

Abstract: A computer system is configured to profile a program during an execution of the program. Profiling the program includes obtaining, by a first profiler, a first set of information associated with the execution of the program, and obtaining a second set of information associated with one or more executions of the function. The second set of information includes at least a call count or an execution time of each of the one or more executions of the function. The computer system then identifies a subset of the first set of information that is associated with the one or more executions of the function, and creates aggregate information based on the subset of the first set of information and the second set of information. The aggregated information is then reported.

Abstract: A computer system is configured to profile a program during an execution of the program. Profiling the program includes obtaining, by a first profiler, a first set of information associated with the execution of the program, and obtaining a second set of information associated with one or more executions of the function. The second set of information includes at least a call count or an execution time of each of the one or more executions of the function. The computer system then identifies a subset of the first set of information that is associated with the one or more executions of the function, and creates aggregate information based on the subset of the first set of information and the second set of information. The aggregated information is then reported.