Wael Kessentini

16 papers A 5B 4Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Software Eng.
Emna Ksontini, Thiago do Nascimento Ferreira, Rania Khalsi, Wael Kessentini
2025 J jnl
CoRR
Meriem Mastouri, Emna Ksontini, Wael Kessentini
2025 A conf
MSR
Emna Ksontini, Meriem Mastouri, Rania Khalsi, Wael Kessentini
2025 J jnl
CoRR
Emna Ksontini, Meriem Mastouri, Rania Khalsi, Wael Kessentini
2022 J jnl
Softw. Syst. Model.
Wael Kessentini, Vahid Alizadeh
2020 A conf
MoDELS
Wael Kessentini, Vahid Alizadeh
2020 B conf
SSBSE
Wael Kessentini, Vahid Alizadeh
2019 J jnl
Inf. Softw. Technol.
Wael Kessentini, Houari A. Sahraoui, Manuel Wimmer
2018 B conf
SSBSE
Wael Kessentini, Houari A. Sahraoui, Manuel Wimmer
2018 A conf
MoDELS
Wael Kessentini, Manuel Wimmer, Houari A. Sahraoui
2017 A conf
MoDELS
Edouard Batot, Wael Kessentini, Houari A. Sahraoui, Michalis Famelis
2016 B conf
ECMFA
Wael Kessentini, Houari A. Sahraoui, Manuel Wimmer
2015 conf
SRC@MoDELS
Wael Kessentini
2014 J jnl
IEEE Trans. Software Eng.
Wael Kessentini, Marouane Kessentini, Houari A. Sahraoui, Slim Bechikh, Ali Ouni
2013 B conf
SSBSE
Mohamed Boussaa, Wael Kessentini, Marouane Kessentini, Slim Bechikh, Soukeina Ben Chikha
2011 A conf
ICPC
Marouane Kessentini, Wael Kessentini, Houari A. Sahraoui, Mounir Boukadoum, Ali Ouni
redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py python
from binaryninja import (
    MediumLevelILInstruction,
    Variable, SSAVariable,
    ILIntrinsic,
)


class MediumLevelNormalization:
    def __init__(self):
        return

    def _collect_ops(self, il, ops):
        if il is None:
            return
        ops.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect_ops(sub, ops)

    def normalize_instruction_all_levels(self, instr_il):
        ops = []
        self._collect_ops(instr_il, ops)
        return ops

    def _leaf_type(self, val):
        if isinstance(val, SSAVariable):
            return "SSA_VAR"
        if isinstance(val, Variable):
            return "VAR"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, float):
            return "FLOAT_CONST"
        if isinstance(val, int):
            return "CONST"
        if isinstance(val, str):
            return "STR"
        return type(val).__name__.upper()

    def _collect(self, il, out_op):
        if il is None:
            return
        out_op.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect(op, out_op)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect(sub, out_op)
                    else:
                        out_op.append(self._leaf_type(sub))
            else:
                out_op.append(self._leaf_type(op))

    def normalize_instr_with_operands(self, instr_il):
        ops = []
        self._collect(instr_il, ops)
        return ops