Test case generation for agent-based models: A systematic literature review

Author:

Clark Andrew G.ORCID,Walkinshaw Neil,Hierons Robert M.

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference132 articles.

1. Interbank contagion: An agent-based model approach to endogenously formed networks;Liu;J. Bank. Financ.,2020

2. Agent-based modeling in public health: current applications and future directions;Tracy;Annu. Rev. Public Health,2018

3. Report 13: Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries;Flaxman,2020

4. Determining the optimal strategy for reopening schools, work and society in the UK: balancing earlier opening and the impact of test and trace strategies with the risk of occurrence of a secondary COVID-19 pandemic wave;Panovska-Griffiths,2020

5. Covasim: an agent-based model of COVID-19 dynamics and interventions;Kerr,2020

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3. Software Test Case Generation Tools and Techniques: A Review;International Journal of Mathematical, Engineering and Management Sciences;2023-04-01

4. A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning;ACM Transactions on Software Engineering and Methodology;2023-01-31

5. Building an integrated requirements engineering process based on Intelligent Systems and Semantic Reasoning on the basis of a systematic analysis of existing proposals;JUCS - Journal of Universal Computer Science;2022-11-28

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