Abstract: Techniques regarding explanations for artificial intelligence recommendations are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory.

Abstract: Techniques regarding explanations for artificial intelligence recommendations are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory.

Abstract: A computer implemented method performs flow-sensitive interprocedural data flow analysis without iteration for a class of interprocedural problems. The accuracy of the solution can approach the iterative result without the compile time cost. For interprocedural constant propagation (ICP), this method is more effective than existing methods and costs about the same compilation time. For flow-sensitive ICP over a program call graph (PCG), the method supports recursion while only performing one flow-sensitive analysis of each routine. If the PCG has cycles, a flow-insensitive solution is precomputed for constant propagation. During the flow-sensitive computation, the flow-insensitive result is used for a back edge. This permits a flow-sensitive solution to be obtained in one forward traversal of the PCG. This method can also be used to compute returned constants with one reverse traversal of the PCG.