Abstract: A data processing apparatus adapted to output recommendation information for modifying source code, includes: compiler circuitry to compile the source code and to output compiled code for the source code, processing circuitry to execute the compiled code, profile circuitry to monitor the execution of the compiled code by the processing circuitry and to generate profile information for the execution of the compiled code, the profile information including one or more statistical properties for the execution of the compiled code, and recommendation circuitry to output the recommendation information for the source code, the recommendation circuitry including a machine learning model to receive at least a portion of the profile information and trained to output the recommendation information for the source code in dependence upon one or more of the statistical properties, in which the recommendation information is indicative of one or more editing instructions for modifying the source code.

Abstract: A method of evaluating a videogame for a first user includes: performing a calibration test using a physical input device to evaluate at least a first physical input capability of the first user with respect to that physical input device; evaluating at the at least first physical input capability exhibited with respect to that physical input device during reference play of the videogame by one or reference users other than the first user; comparing the at least first physical input capability exhibited during reference play with that of the first user; and providing an evaluation of the videogame's suitability for play by the first user, based upon the comparison.

Abstract: A data processing apparatus adapted to output recommendation information for modifying source code, includes: compiler circuitry to compile the source code and to output compiled code for the source code, processing circuitry to execute the compiled code, profile circuitry to monitor the execution of the compiled code by the processing circuitry and to generate profile information for the execution of the compiled code, the profile information including one or more statistical properties for the execution of the compiled code, and recommendation circuitry to output the recommendation information for the source code, the recommendation circuitry including a machine learning model to receive at least a portion of the profile information and trained to output the recommendation information for the source code in dependence upon one or more of the statistical properties, in which the recommendation information is indicative of one or more editing instructions for modifying the source code.

Abstract: A method of evaluating a videogame for a first user includes: performing a calibration test using a physical input device to evaluate at least a first physical input capability of the first user with respect to that physical input device; evaluating at the at least first physical input capability exhibited with respect to that physical input device during reference play of the videogame by one or reference users other than the first user; comparing the at least first physical input capability exhibited during reference play with that of the first user; and providing an evaluation of the videogame's suitability for play by the first user, based upon the comparison.