A Survey on the Applications of Swarm Intelligence to Software Verification

Author:

Kumazawa Tsutomu1,Takimoto Munehiro2,Kambayashi Yasushi3

Affiliation:

1. Software Research Associates, Inc., Japan

2. Tokyo University of Science, Japan

3. Nippon Institute of Technology, Japan

Abstract

Applying swarm intelligence techniques to software engineering problems has appealed to both researchers and practitioners in the software engineering community. This chapter describes issues and challenges of its application to formal verification, which is one of the core research fields in software engineering. Formal verification, which explores how to effectively verify software products by using mathematical technique, often suffers from two open problems. One is the so-called state explosion problem that verification tools need too many computational resources to make verification feasible. The other problem is that the results of verification have often too much complexity for users to understand. While a number of research projects have addressed these problems in the context of traditional formal verification, recent researches demonstrate that Swarm Intelligence is a promising tool to tackle the problems. This chapter presents how Swarm Intelligence can be applied to formal verification, and surveys the state-of-the-art techniques.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Safety Checking Coverage with Multi-swarm Particle Swarm Optimization;Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection;2023

2. Exploration strategies for balancing efficiency and comprehensibility in model checking with ant colony optimization;Journal of Information and Telecommunication;2022-03-22

3. Exploration Strategies for Model Checking with Ant Colony Optimization;Computational Collective Intelligence;2021

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