Automatic Verification Technology Research Articles

Technology and Practice of Automatic Verification of Electric (Thermal) Instrument

To meet the need for peak regulating, large unit sets have put forward new and higher requirements for a thermal automatic control system, and the degree of automation has become an important symbol to measure the level of modernization of enterprises. In industrial production, the automatic verification technology of thermal measurement is becoming more and more mature and plays an important role in the industry. The automatic verification technology of thermal metrology is the manifestation of the development of automation, and it has also improved in the aspect of testing equipment. The use of automatic verification technology in thermal measurement can not only improve work efficiency but also reduce labor costs, which provides a basic guarantee for safe and reliable operations of equipment.

The μ-Calculus Model-Checking Algorithm for Generalized Possibilistic Decision Process

Model checking is a formal automatic verification technology for complex concurrent systems. It is used widely in the verification and analysis of computer software and hardware systems, communication protocols, security protocols, etc. The generalized possibilistic μ-calculus model-checking algorithm for decision processes is studied to solve the formal verification problem of concurrent systems with nondeterministic information and incomplete information on the basis of possibility theory. Firstly, the generalized possibilistic decision process is introduced as the system model. Then, the classical proposition μ-calculus is improved and extended, and the concept of generalized possibilistic μ-calculus (GPoμ) is given to describe the attribute characteristics of nondeterministic systems. Then, the GPoμ model-checking algorithm is proposed, and the model-checking problem is simplified to fuzzy matrix operations. Finally, a specific example and a case study are analyzed and verified. Compared with the classical μ-calculus, the generalized possibilistic μ-calculus has a stronger expressive power and can better characterize the attributes of nondeterministic systems. The model-checking algorithm can give the possibility that the system satisfies the attributes. The research work provides a new idea and method for model checking nondeterministic systems.

Server Structure Proposal and Automatic Verification Technology on IAAS Cloud of Plural Type Servers

In this paper, we propose a server structure proposal and automatic performance verification technology which proposes and verifies an appropriate server structure on Infrastructure as a Service (IaaS) cloud with bare metal servers, container based virtual servers and virtual machines. Recently, cloud services have been progressed and providers provide not only virtual machines but also new metal servers and container based virtual servers. However, users need to design an appropriate server structure for their requirements based on 3 types quantitative performances and users need much technical knowledge to optimize their system performances. Therefore, we study a technology which satisfies users' performance requirements on these 3 types IaaS cloud. Firstly, we measure performances of a bare metal server, Docker containers, KVM (Kernel based Virtual Machine) virtual machines on OpenStack with virtual server number changing. Secondly, we propose a server structure proposal technology based on the measured quantitative data. A server structure proposal technology receives an abstract template of OpenStack Heat and function / performance requirements and then creates a concrete template with server specification information. Thirdly, we propose an automatic performance verification technology which executes necessary performance tests automatically on provisioned user environments according to the template.

Automatic system test technology of virtual machine software patch on IaaS cloud

Regarding IaaS virtual machine operations, the problem is its high operation costs because users need to distribute and verify software patches for their virtual machines. We proposed an automatic verification technology for each virtual machine patch in our previous work. In this paper, we study an improvement of automatic verifications of system tests with plural virtual machines. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Automatic verification technology of software patches for user virtual environments on IaaS cloud

We propose here a technique for automatic verification of software patches for user virtual environments on Infrastructure as a Service (IaaS) Cloud to reduce the cost of verifying patches. IaaS services have been spreading rapidly, and many users can customize virtual machines on IaaS Cloud like their own private servers. However, users must install and verify software patches of the OS or middleware installed on virtual machines by themselves. This task increases the user’s operation costs. Our proposed method replicates user virtual environments, extracts verification test cases for user virtual environments from a test case database (DB), distributes patches to virtual machines in the replicated environments, and executes the test cases automatically on the replicated environments. To reduce test cases creation efforts, we propose an idea of two-tier abstraction which groups software to software groups and function groups and selects test cases belonging to each group. We applied the proposed method on OpenStack using Jenkins and confirmed its feasibility. We evaluated the effectiveness of test case creation efforts and the automatic verification performance of environment replications, test cases extractions, and test case executions.

Generic tools for verifying concurrent systems

Despite the enormous strides made in automatic verification technology over the past decade and a half, tools such as model checkers remain relatively underused in the development of software. One reason for this is that the bewildering array of specification and verification formalisms complicates the development and adoption by users of relevant tool support. This paper proposes a remedy to this state of affairs in the case of finite-state concurrent systems by describing an approach to developing customizable yet efficient verification tools.