Abstract: Systems, methods and computer readable medium described herein relate to techniques for automatic type inference from machine code. An example technique includes receiving a machine code of a program, generating an intermediate representation of the machine code, generating a plurality of type constraints from the intermediate representation, generating one or more inferred types based at least upon the plurality of type constraints, converting the generated inferred types to C types, updating the intermediate representation by applying the inferred types to the intermediate representation, and outputting said inferred types, said converted C types, and/or at least a portion of the updated intermediate representation.

Abstract: Systems, methods and computer readable medium described herein relate to techniques for automatic type inference from machine code. An example technique includes receiving a machine code of a program, generating an intermediate representation of the machine code, generating a plurality of type constraints from the intermediate representation, generating one or more inferred types based at least upon the plurality of type constraints, converting the generated inferred types to C types, updating the intermediate representation by applying the inferred types to the intermediate representation, and outputting said inferred types, said converted C types, and/or at least a portion of the updated intermediate representation.

Abstract: Systems, methods and computer readable medium described herein relate to techniques for automatic type inference from machine code. An example technique includes receiving a machine code of a program, generating an intermediate representation of the machine code, generating a plurality of type constraints from the intermediate representation, generating one or more inferred types based at least upon the plurality of type constraints, converting the generated inferred types to C types, updating the intermediate representation by applying the inferred types to the intermediate representation, and outputting said inferred types, said converted C types, and/or at least a portion of the updated intermediate representation.

Abstract: Systems, methods and computer readable medium described herein relate to techniques for automatic type inference from machine code. An example technique includes receiving a machine code of a program, generating an intermediate representation of the machine code, generating a plurality of type constraints from the intermediate representation, generating one or more inferred types based at least upon the plurality of type constraints, converting the generated inferred types to C types, updating the intermediate representation by applying the inferred types to the intermediate representation, and outputting said inferred types, said converted C types, and/or at least a portion of the updated intermediate representation.

Abstract: Roster modification recommendations are provided in fantasy sports leagues based on projected statistics of one or more players. Available players or players on other teams can be analyzed according to projected statistics, and the projected statistics can be compared to projected statistics of one or more players on the team. In addition, the projected statistics can be further narrowed based on a specified period of time, desired positions, and/or the like. Based on the comparison, trade or acquisition recommendations can be generated for the team. Other parameters can be utilized in making such recommendations, such as a waiver status of the team, a propensity of a team owner to accept trades, etc. In addition, statistics can be projected for players based on one or more received statistics projections.

Abstract: Roster modification recommendations are provided in fantasy sports leagues based on projected statistics of one or more players. Available players or players on other teams can be analyzed according to projected statistics, and the projected statistics can be compared to projected statistics of one or more players on the team. In addition, the projected statistics can be further narrowed based on a specified period of time, desired positions, and/or the like. Based on the comparison, trade or acquisition recommendations can be generated for the team. Other parameters can be utilized in making such recommendations, such as a waiver status of the team, a propensity of a team owner to accept trades, etc. In addition, statistics can be projected for players based on one or more received statistics projections.