Markov analysis of software specifications

Author:

Whittaker James A.1,Poore J. H.2

Affiliation:

1. Software Engineering Technology, Inc., Vero Beach, FL

2. Univ. of Tennessee, Knoxville

Abstract

A procedure for modeling software usage with the finite state, discrete parameter Markov chain is described. It involves rigorous analysis of the specification before design and coding begin. Many benefits emerge from this process, including the ability to synthesize a macro level usage distribution from a micro level understanding of how the software will be used. This usage distribution becomes the basis for a statistical test of the software, which is fundamental to the Cleanroom development process. Some analytical results known for Markov chains that have meaningful implications and interpretations for the software development process are described.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference12 articles.

Cited by 90 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. Test Data Generation for Mutation Testing Based on Markov Chain Usage Model and Estimation of Distribution Algorithm;IEEE Transactions on Software Engineering;2024-03

2. A Framework of Operational Profile for AI Systems;Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence;2023-12-22

3. Reliability assessment of service-based software under operational profile uncertainty;Reliability Engineering & System Safety;2020-12

4. Migrating legacy Web applications;Cluster Computing;2020-09-02

5. Model-Based On-the-Fly Testing of Web Applications and Multilingual Websites;Communications in Computer and Information Science;2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3