Failure data of Tandem system.

Enhancing software quality remains a main objective for software developers and engineers, with a specific emphasis on improving software stability to increase user satisfaction. Developers must balance rigorous software testing with tight schedules and budgets. This often forces them to choose between quality and cost. Traditional approaches rely on software reliability growth models but are often too complex and impractical for testing complex software environments. Addressing this issue, our study introduces a system dynamics approach to develop a more adaptable software reliability growth model. This model is specifically designed to handle the complexities of modern software testing scenarios. By utilizing a system dynamics model and a set of defined rules, we can effectively simulate and illustrate the impacts of testing and debugging processes on the growth of software reliability. This method simplifies the complex mathematical derivations that are commonly associated with traditional models, making it more accessible for real-world applications. The key innovation of our approach lies in its ability to create a dynamic and interactive model that captures the various elements influencing software reliability. This includes factors such as resource allocation, testing efficiency, error detection rates, and the feedback loops among these elements. By simulating different scenarios, software developers and project managers can gain deeper insights into the impact of their decisions on software quality and testing efficiency. This can provide valuable insights for decision-making and strategy formulation in software development and quality assurance.

提升软件质量始终是软件开发人员与软件工程师的核心目标，其中尤为侧重通过优化软件稳定性来提升用户满意度。研发人员需要在严苛的软件测试与紧张的项目进度、有限的预算之间寻求平衡，这往往迫使他们不得不在质量与成本之间做出取舍。传统方法多依赖软件可靠性增长模型（Software Reliability Growth Model），但在测试复杂软件环境时，这类模型往往过于复杂且缺乏实用性。针对这一痛点，本研究引入系统动力学（System Dynamics）方法，构建了适配性更强的软件可靠性增长模型，该模型专为应对现代软件测试场景的复杂性而设计。通过运用系统动力学模型与一套预设规则，本研究可有效模拟并阐释测试与调试流程对软件可靠性增长的影响。该方法简化了传统模型通常涉及的复杂数学推导过程，使其更便于在实际场景中落地应用。本研究方法的核心创新之处，在于能够构建动态交互模型，捕捉影响软件可靠性的各类要素——其中包括资源分配、测试效率、错误检出率，以及这些要素之间的反馈循环。通过模拟不同测试场景，软件开发人员与项目管理人员能够更深入地理解自身决策对软件质量与测试效率的影响，从而为软件开发与质量保障环节的决策制定与战略规划提供极具价值的参考依据。