Software-System Simulation System
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A Software-System Simulation System is a simulation system that can solve a software-system simulation task (that simulates the behavior and interactions of software systems and components over time).
- Context:
- It is used to replicate the behavior of software systems in a controlled environment.
- It helps in understanding, analyzing, and predicting the behavior of software systems under different scenarios and conditions.
- It can be used for performance tuning, optimization, safety engineering, and testing of software systems.
- It can simulate the interactions between different software components and services.
- It might involve simulating network communication, databases, user interfaces, and other elements of a software system.
- It can be deterministic, where the behavior is expected and repeatable, or stochastic, involving random variables.
- It can be part of a larger Simulation Project focusing on the software aspect.
- It can use various simulation algorithms and models, including state transition diagrams, Petri nets, and agent-based models.
- It can be integrated with hardware simulation for full-system simulation, particularly in embedded and real-time systems.
- It is critical in DevOps for performance assessment and scalability testing.
- ...
- Example(s):
- A system that simulates a distributed database system to evaluate its performance and scalability.
- A system that simulates a web application under heavy traffic to identify bottlenecks.
- A system that simulates a multi-threaded software system to identify deadlocks and race conditions.
- A system that simulates a network protocol in a software-defined network.
- ...
- Counter-Example(s):
- See: Software Testing, Performance Testing, Load Testing, Stress Testing, Network Simulation, Distributed Systems, Modeling and Simulation, System Integration Testing.
References
2023
- (Tuli et al., 2023) ⇒ Shreshth Tuli, Kinga Bojarczuk, Natalija Gucevska, Mark Harman, Xiao-Yu Wang, and Graham Wright. (year2023). “Simulation-Driven Automated End-to-End Test and Oracle Inference.” In: arXiv preprint arXiv:2302.02374. doi:10.48550/arXiv.2302.02374