Chassis Software Change Impact and Dependency Analysis Dataset
- Records
- 5000
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset focuses on chassis control software source code and localized function or interface changes, providing code reasoning examples and answers that connect change requests and code context to affected callers, downstream logic, and control functions. It shows how to trace impact from a changed symbol through call relationships, data flow, and control flow, and summarizes potential risks and review recommendations. It supports code SFT, chassis electronics maintenance, change reviews, and regression test planning.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| change_type | string | A summary of the change, such as an interface signature update, logic modification, parameter change, or return value change. |
| source_code | string | Chassis control software source code used for change impact analysis. It may include relevant functions, interfaces, and call relationships. |
| change_request | string | The localized function or interface change to analyze, which may describe the goal, previous behavior, and proposed modification. |
| changed_symbol | string | The primary function, interface, variable, or other symbol identified from the change input. |
| impact_summary | string | A summary of the primary impact scope, potential behavior changes, and risks that require attention. |
| affected_callers | array | Direct or indirect callers identified through source code dependencies, with explanations of the potential impact. |
| downstream_logic | array | Downstream processing steps, data flows, or conditional branches that may be affected by the change. |
| dependency_reasoning | string | An explanation of how the impact scope is derived from code calls, data transfer, and control flow. |
| review_recommendations | array | Code review, testing, or validation recommendations based on the identified change impact. |
| affected_control_functions | array | Chassis control functions or vehicle behaviors that may be affected by the change. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What does the dataset contain?
- The data focuses on localized function or interface changes in chassis control software. It includes source code context, change requests, changed symbols and change types, along with affected callers, downstream logic, control functions, dependency reasoning, impact summaries, and review recommendations.
- Which training and evaluation tasks does it support?
- It can support code SFT, code dependency understanding, change impact analysis, call-chain analysis, and code review assistance. It can also be used to evaluate whether a model can explain how a change propagates based on the available code context.
- How can I verify dataset size and code version details?
- Check the product page or accompanying data documentation for sample counts, code coverage, and version details. Before use, verify field completeness, the scope of the code context, and compatibility with the target software version.
- How is the dataset obtained, and what licensing applies?
- Refer to the product page for access instructions, delivery format, and license terms. Before using the data for training, evaluation, or commercial projects, confirm that the license covers the intended use and follow any applicable code and data restrictions.
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Cite this Work
@dataset{Mobiusi2026,
title={Chassis Software Change Impact and Dependency Analysis Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/84ef592a615171a05b2b282a85f7f502?dataset_scene_cate_type=9},
urldate={2026-10-20},
keywords={chassis software dataset,code change impact analysis,code dependency reasoning,chassis control software,source code analysis,call relationship analysis,code SFT data,software change review},
version={1.0}
}Using this in research? Please cite us.