Abstract: A method and associated systems that allow a computer system to optimize its performance when running a computer program after a characteristic of a variable of the computer program is changed. A processor of a computer system initially identifies a first generation of candidate components of the computer program that could possibly be affected by changing the characteristic and then confirms these identifications by analyzing one or more characteristics of the variable and of each identified component. The processor repeats this procedure, identifying in each iteration a next generation of program components that would be affected by varying a characteristic of any of the components confirmed in the current generation. This procedure repeats until the processor can confirm no additional previously unconfirmed components. The processor then considers the identified set of affected components in order to optimize its performance running the program after the variable's characteristic is changed.

Abstract: A method and associated systems that allow a computer system to optimize its performance when running a computer program after a characteristic of a variable of the computer program is changed. A processor of a computer system initially identifies a first generation of candidate components of the computer program that could possibly be affected by changing the characteristic and then confirms these identifications by analyzing one or more characteristics of the variable and of each identified component. The processor repeats this procedure, identifying in each iteration a next generation of program components that would be affected by varying a characteristic of any of the components confirmed in the current generation. This procedure repeats until the processor can confirm no additional previously unconfirmed components. The processor then considers the identified set of affected components in order to optimize its performance running the program after the variable's characteristic is changed.

Abstract: A method and associated systems for reducing false-positive errors in a software change-impact analysis of a basepoint variable. A processor of a computer system identifies a first generation of change-affected parts of one or more computer programs, where each identified part is affected by a change to the basepoint variable. The processor confirms the identification of each identified part by analyzing one or more characteristics of the basepoint variable and of the identified part. If the processor confirms that an identification is the product of a false-positive error, the falsely identified part is discarded. The processor then identifies a second generation of confirmed change-affected parts by repeating the procedure performed on the basepoint variable on each confirmed part of the first generation of parts. The processor continues this iterative process through additional generations until it identifies a generation that contains no confirmed change-affected parts.

Abstract: A method and associated systems for reducing false-positive errors in a software change-impact analysis of a basepoint variable. A processor of a computer system identifies a first generation of change-affected parts of one or more computer programs, where each identified part is affected by a change to the basepoint variable. The processor confirms the identification of each identified part by analyzing one or more characteristics of the basepoint variable and of the identified part. If the processor confirms that an identification is the product of a false-positive error, the falsely identified part is discarded. The processor then identifies a second generation of confirmed change-affected parts by repeating the procedure performed on the basepoint variable on each confirmed part of the first generation of parts. The processor continues this iterative process through additional generations until it identifies a generation that contains no confirmed change-affected parts.