## Bar Chart: Error Type Distribution Across Software Evaluation Frameworks ### Overview The chart compares the percentage distribution of various error types across four software evaluation frameworks: SWE-Bench-Verified, SWE-Gym, SWE-smith, and Scale-SWE. Error types are categorized into 10 distinct types, with percentages ranging from 0% to 60% on the y-axis. ### Components/Axes - **X-axis**: Frameworks (SWE-Bench-Verified, SWE-Gym, SWE-smith, Scale-SWE) - **Y-axis**: Percentage (%) from 0% to 60% - **Legend**: - Blue: API Mismatch - Orange: Logic Error - Green: Input/Boundary - Purple: Import Error - Pink: Mutability - Yellow: I/O Resource - Brown: State Sync - Gray: Spec Violation - Cyan: Security - Red: Constructor ### Detailed Analysis 1. **SWE-Bench-Verified**: - Logic Error (orange): ~42% - API Mismatch (blue): ~12% - Input/Boundary (green): ~18% - State Sync (brown): ~8% - Spec Violation (gray): ~7% - Import Error (purple): ~4% - Constructor (red): ~3% - Mutability (pink): ~2% - I/O Resource (yellow): ~1% - Security (cyan): ~0.5% 2. **SWE-Gym**: - Logic Error (orange): ~36% - API Mismatch (blue): ~20% - Input/Boundary (green): ~21% - State Sync (brown): ~8% - Spec Violation (gray): ~6% - Import Error (purple): ~4% - Constructor (red): ~3% - Mutability (pink): ~2% - I/O Resource (yellow): ~1% - Security (cyan): ~0.5% 3. **SWE-smith**: - Logic Error (orange): ~62% - API Mismatch (blue): ~9% - Input/Boundary (green): ~7% - State Sync (brown): ~4% - Spec Violation (gray): ~3% - Import Error (purple): ~2% - Constructor (red): ~5% - Mutability (pink): ~1% - I/O Resource (yellow): ~0.5% - Security (cyan): ~0.5% 4. **Scale-SWE**: - API Mismatch (blue): ~26% - Logic Error (orange): ~24% - Input/Boundary (green): ~19% - State Sync (brown): ~6% - Spec Violation (gray): ~8% - Import Error (purple): ~12% - Constructor (red): ~3% - Mutability (pink): ~2% - I/O Resource (yellow): ~2% - Security (cyan): ~0.5% ### Key Observations - **Dominant Error Types**: - Logic Error consistently dominates in SWE-Bench-Verified (~42%) and SWE-smith (~62%). - API Mismatch peaks in Scale-SWE (~26%). - Input/Boundary errors are significant in SWE-Gym (~21%) and Scale-SWE (~19%). - **Low-Frequency Errors**: - Mutability, I/O Resource, and Security errors remain below 3% across all frameworks. - Security errors are nearly negligible (<1%) in all cases. - **Framework-Specific Trends**: - SWE-smith shows the highest Logic Error rate (62%) and lowest API Mismatch (9%). - Scale-SWE has the highest API Mismatch (26%) and Import Error (12%). ### Interpretation The data suggests that **Logic Errors** are the most prevalent issue across all frameworks, particularly in SWE-smith, which may indicate challenges in code correctness or algorithmic implementation. The rise of **API Mismatch** in Scale-SWE implies scalability or integration challenges in larger systems. **Input/Boundary errors** are consistently significant, highlighting potential issues with data handling or interface design. The low frequency of **Security** and **Mutability** errors suggests these are either well-managed or less critical in current evaluations. The spike in **Import Error** in Scale-SWE could point to dependency management or library compatibility issues in scaled environments. Overall, the chart emphasizes the need for targeted improvements in error handling, particularly for Logic and API-related issues in scalable systems.