Inkyu Jang

34 papers A* 6A 3Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Inkyu Jang, Chams Eddine Mballo, Claire J. Tomlin, H. Jin Kim
2025 J jnl
Int. J. Robotics Res.
Jungwon Park, Yunwoo Lee, Inkyu Jang, H. Jin Kim
2025 J jnl
CoRR
Inkyu Jang, Jonghae Park, Chams Eddine Mballo, Sihyun Cho, Claire J. Tomlin, H. Jin Kim
2025 A* conf
ICRA
Dabin Kim, Inkyu Jang, Youngsoo Han, Sunwoo Hwang, H. Jin Kim
2025 J jnl
CoRR
Dabin Kim, Inkyu Jang, Youngsoo Han, Sunwoo Hwang, H. Jin Kim
2025 J jnl
CoRR
Inkyu Jang, H. Jin Kim
2025 conf
CDC
Youngkyoung Kong, Inkyu Jang, H. Jin Kim
2025 J jnl
CoRR
Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim
2025 J jnl
IEEE Robotics Autom. Mag.
Inkyu Jang, Junha Kim, Dongjae Lee, Changhyeon Kim, Changsuk Oh, Youngbum Kim, Sangwook Woo, Heejee Sung, H. Jin Kim
2024 J jnl
IEEE Trans Autom. Sci. Eng.
Jeonghyun Byun, Inkyu Jang, Dongjae Lee, H. Jin Kim
2024 conf
CDC
Inkyu Jang, Minhyuk Yoon, H. Jin Kim
2024 J jnl
IEEE Robotics Autom. Lett.
Inkyu Jang, H. Jin Kim
2024 A* conf
ICRA
Inkyu Jang, Sunwoo Hwang, Jeonghyun Byun, H. Jin Kim
2023 J jnl
IEEE Trans. Robotics
Jungwon Park, Yunwoo Lee, Inkyu Jang, H. Jin Kim
2023 A* conf
ICRA
Jungwon Park, Inkyu Jang, H. Jin Kim
2023 J jnl
IEEE Trans. Robotics
Hoseong Seo, Donggun Lee, Clark Youngdong Son, Inkyu Jang, Claire J. Tomlin, H. Jin Kim
2023 A* conf
ICRA
Inkyu Jang, Jungwon Park, H. Jin Kim
2022 A* conf
NeurIPS
Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim
2022 J jnl
CoRR
Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim
2022 J jnl
CoRR
Jungwon Park, Inkyu Jang, H. Jin Kim
2022 J jnl
IEEE Control. Syst. Lett.
Inkyu Jang, Hoseong Seo, H. Jin Kim
2022 J jnl
IEEE Trans Autom. Sci. Eng.
Hyoin Kim, Changsuk Oh, Inkyu Jang, Sungyong Park, Hoseong Seo, H. Jin Kim
2021 J jnl
IEEE Robotics Autom. Lett.
Dongjae Lee, Hoseong Seo, Inkyu Jang, Seung Jae Lee, H. Jin Kim
2021 A conf
IROS
Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim
2021 J jnl
CoRR
Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim
2021 A conf
IROS
Inkyu Jang, Dongjae Lee, Seungjae Lee, H. Jin Kim
2021 J jnl
CoRR
Inkyu Jang, Dongjae Lee, Seungjae Lee, H. Jin Kim
2021 A conf
IROS
Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim
2021 J jnl
CoRR
Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim
2020 A* conf
ICRA
Jungwon Park, Junha Kim, Inkyu Jang, H. Jin Kim
2020 J jnl
IEEE Robotics Autom. Lett.
Seung Jae Lee, Inkyu Jang, H. Jin Kim
2020 J jnl
CoRR
Seung Jae Lee, Inkyu Jang, H. Jin Kim
2020 J jnl
IEEE Robotics Autom. Lett.
Jae Hyeon Park, Jigang Kim, Youngseok Jang, Inkyu Jang, H. Jin Kim
2019 J jnl
CoRR
Jungwon Park, Junha Kim, Inkyu Jang, H. Jin Kim
tests/scripts/test_linking.py
← Index tests/scripts/test_linking.py python
#!/usr/bin/env python3
"""
Test script to verify the linking between decompiled and disassembled functions.
"""

import sys
import os
from pathlib import Path

# Add the redb directory to the path
sys.path.insert(0, str(Path(__file__).parent / "redb"))

from redb.extractors.decompiler.DecompileBinja import DecompileBinja
import logging

def test_linking():
    """Test that decompiled and disassembled functions are properly linked."""
    
    # Setup logging
    logging.basicConfig(level=logging.INFO)
    logger = logging.getLogger("test_linking")
    
    # Use a simple test binary (you'll need to provide a path to a test binary)
    test_binary = "test_files/hello"  # Adjust this path as needed
    
    if not os.path.exists(test_binary):
        print(f"Test binary not found: {test_binary}")
        print("Please provide a valid binary path for testing")
        return False
    
    try:
        # Create and run the extractor
        with DecompileBinja(test_binary, logger) as extractor:
            success = extractor.extract()
            
            if not success:
                print("Extraction failed")
                return False
            
            # Get the analysis results
            results = extractor.analysis_results
            
            if not results:
                print("No analysis results")
                return False
            
            print(f"Analysis completed successfully")
            print(f"Decompiled functions: {len(results['decompiled'])}")
            print(f"Disassembled functions: {len(results['disassembled'])}")
            
            # Test linking
            linking_issues = []
            linked_pairs = 0
            decompiled_only = 0
            disassembled_only = 0
            
            # Check decompiled functions have proper linking
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash is None:
                    decompiled_only += 1
                    print(f"⚠️  Decompiled function {decomp_func.get('decompiled_function_name')} has no disassembled link (decompiled-only)")
                else:
                    linked_pairs += 1
                    print(f"✓ Decompiled function {decomp_func.get('decompiled_function_name')} linked to disassembled hash: {disasm_hash[:16]}...")
            
            # Check disassembled functions have proper linking
            for disasm_func in results['disassembled']:
                disasm_hash = disasm_func.get('disassembled_function_hash')
                decomp_hash = disasm_func.get('decompiled_function_hash')
                
                if decomp_hash is None:
                    disassembled_only += 1
                    print(f"⚠️  Disassembled function {disasm_func.get('disassembled_function_name')} has no decompiled link (disassembled-only)")
                else:
                    print(f"✓ Disassembled function {disasm_func.get('disassembled_function_name')} linked to decompiled hash: {decomp_hash[:16]}...")
            
            # Verify cross-references are consistent
            decompiled_hashes = {f['decompiled_function_hash']: f for f in results['decompiled']}
            disassembled_hashes = {f['disassembled_function_hash']: f for f in results['disassembled']}
            
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash and disasm_hash in disassembled_hashes:
                    corresponding_disasm = disassembled_hashes[disasm_hash]
                    if corresponding_disasm.get('decompiled_function_hash') != decomp_hash:
                        linking_issues.append(f"Inconsistent linking: decompiled {decomp_hash[:16]}... -> disassembled {disasm_hash[:16]}... but reverse link doesn't match")
            
            # Summary
            print(f"\n📊 Linking Summary:")
            print(f"  - Linked function pairs: {linked_pairs}")
            print(f"  - Decompiled-only functions: {decompiled_only}")
            print(f"  - Disassembled-only functions: {disassembled_only}")
            print(f"  - Total functions processed: {len(results['decompiled']) + len(results['disassembled'])}")
            
            if linking_issues:
                print(f"\n❌ Linking issues found:")
                for issue in linking_issues:
                    print(f"  - {issue}")
                return False
            else:
                print(f"\n✅ All linking tests passed!")
                print(f"✅ Cross-references are consistent!")
                return True
                
    except Exception as e:
        print(f"Test failed with exception: {e}")
        return False

if __name__ == "__main__":
    success = test_linking()
    sys.exit(0 if success else 1)