Narrow Results

We describe a system for the automated certification of safety properties of NASA software. The system uses Hoare-style program verification technology to generate proof obligations which are then processed by an automated first-order theorem prover (ATP). We discuss the unique requirements this application places on the ATPs, focusing on automation, proof checking, traceability, and usability, and describe the resulting system architecture, including a certification browser that maintains and displays links between obligations and source code locations. For full automation, the obligations must be aggressively preprocessed and simplified, and we demonstrate how the individual simplification stages, which are implemented by rewriting, influence the ability of the ATPs to solve the proof tasks. Our results are based on 13 comprehensive certification experiments that lead to 366 top-level safety obligations and ultimately to more than 25,000 proof tasks which have been used to determine the suitability of the high-performance provers DCTP, E-Setheo, E, Gandalf, Otter, Setheo, Spass, and Vampire, and our associated infrastructure. The proofs found by Otter have been checked by Ivy.

This paper focuses on the traceability issue as key element in systems design and management of system. The work is presented through the system engineering framework with a main emphasis on requirements process. Effectively in decision making, the need for traceability model is often required in order to find out the link for a considered decision and often the semantics of such link. With the advent for information technology and integrating technical needs and business goal, the traceability find its essence and many models can now be easily implemented automatically. The paper is based on many experiences carried out ranging from audit to requirement evolution issues for impact analysis.

With the evolution of manufacturing industry, traceability is becoming one of the fundamental elements of the modern and sustainable manufacturing processes. However, the traceability information platform under a collaborative and integrated manufacturing environment has not been sufficiently addressed. In this paper, the general architecture of a traceability information management platform is proposed for the manufacturing application scenarios, which consists of three hierarchical layers: object configuration and data collection layer, data management layer, as well as data analytics and application layer. The platform is designed for real-time information capturing and integration and to establish the data foundations for potential applications in data-driven decision-making and process optimization. The proposed solution has been implemented in a textile dyeing production line, and realised manufacturing data collection and management with product traceability services, which showed the feasibility and significance of the proposed framework.