Relevant HAL Interface Requirements for Embedded Systems

2025-12-16

AI Summary

Identifying critical safety constraints from the vast number of Hardware Abstraction Layer (HAL) interfaces in embedded systems remains challenging, hindering effective fault prevention. Method: This paper proposes a fault-prevention-oriented requirement prioritization approach. Its core innovation is the formal definition of “indisputable relevance,” transforming hardware access constraint identification into a verifiable formal verification problem. The method models HAL interfaces, semantically analyzes real-world failure reports, and leverages model checkers (e.g., CBMC) to automatically generate mathematical proofs—thereby extracting and verifying constraints strongly correlated with system failures or hardware damage. Results: Evaluated on three industrial-grade failure cases involving the SPI bus spidev HAL, the approach successfully identified and formally verified critical requirements. Experimental results demonstrate its feasibility and effectiveness, establishing a novel, verifiable, and traceable paradigm for requirements engineering in high-reliability embedded systems.

Technology Category

• Knowledge Representation and Reasoning: Diagnosis and Abductive Reasoning
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories
• Machine Learning: Hardware-aware ML

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Security and Privacy: Large-scale security measurements

Abstract

Embedded applications often use a Hardware Abstraction Layer (HAL) to access hardware. Improper use of the HAL can lead to incorrect hardware operations, resulting in system failure and potentially serious damage to the hardware. The question is how one can obtain prioritize, among a possibly large set of HAL interface requirements, those that are indisputably relevant for preventing this kind of system failure. In this paper, we introduce a formal notion of relevance. This allows us to leverage a formal method, i.e., software model checking, to produce a mathematical proof that a requirement is indisputably relevant. We propose an approach to extract provably relevant requirements from issue reports on system failures. We present a case study to demonstrate that the approach is feasible in principle. The case study uses three examples of issue reports on embedded applications that use the SPI bus via the spidev HAL. The overall contribution of this paper is to pave the way for the study of approaches to a new kind of prioritization aimed at preventing a specific kind of system failure.

Problem

• Prioritize relevant HAL interface requirements to prevent system failures
• Use formal methods to prove requirement relevance mathematically
• Extract provably relevant requirements from system failure issue reports

Innovation

• Formal relevance notion for HAL requirements
• Software model checking for mathematical proof
• Extract relevant requirements from failure reports