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2016•DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)Open access

Dynamic Branch Resolution Based on Combined Static Analyses

Wei-Tsun Sun, Hugues Cassé

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Abstract

Static analysis requires the full knowledge of the overall program structure. The structure of a program can be represented by a Control Flow Graph (CFG) where vertices are basic blocks (BB) and edges represent the control flow between the BB. To construct a full CFG, all the BB as well as all of their possible targets addresses must be found. In this paper, we present a method to resolve dynamic branches, that identifies the target addresses of BB created due to the switch-cases and calls on function pointers. We also implemented a slicing method to speed up the overall analysis which makes our approach applicable on large and realistic real-time programs.

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Static analysis requires the full knowledge of the overall program structure. The structure of a program can be represented by a Control Flow Graph (CFG) where vertices are basic blocks (BB) and edges represent the control flow between the BB. To construct a full CFG, all the BB as well as all of their possible targets addresses must be found. In this paper, we present a method to resolve dynamic branches, that identifies the target addresses of BB created due to the switch-cases and calls on function pointers. We also implemented a slicing method to speed up the overall analysis which makes our approach applicable on large and realistic real-time programs.

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Available abstract

Static analysis requires the full knowledge of the overall program structure. The structure of a program can be represented by a Control Flow Graph (CFG) where vertices are basic blocks (BB) and edges represent the control flow between the BB. To construct a full CFG, all the BB as well as all of their possible targets addresses must be found. In this paper, we present a method to resolve dynamic branches, that identifies the target addresses of BB created due to the switch-cases and calls on function pointers. We also implemented a slicing method to speed up the overall analysis which makes our approach applicable on large and realistic real-time programs.

Key concepts: Control flow graph, Program slicing, Computer science, Control flow, Slicing, Static analysis, Control flow analysis, Construct (python library)

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