A Stochastic Petri net Model of Continuous Integration and Continuous Delivery

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2022-10-01 DOI:10.1109/ISSREW55968.2022.00050

Sushovan Bhadra

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Abstract

Modern software development organizations rely on continuous integration and continuous delivery (CI/CD), since it allows developers to continuously integrate their code in a single shared repository and automates the delivery process of the product to the user. While modern software practices improve the performance of the software life cycle, they also increase the complexity of this process. Past studies make improvements to the performance of the CI/CD pipeline. However, there are fewer formal models to quantitatively guide process and product quality improvement or characterize how automated and human activities compose and interact asynchronously. Therefore, this paper develops a Petri net model to analyze a CI/CD pipeline to improve process performance in terms of the probability of successfully delivering new or updated functionality by a specified deadline. The utility of the model is demonstrated through a sensitivity analysis to identify stages of the pipeline where improvements would most significantly improve the probability of timely product delivery.

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持续集成与持续交付的随机Petri网模型

现代软件开发组织依赖于持续集成和持续交付(CI/CD)，因为它允许开发人员在单个共享存储库中持续集成他们的代码，并将产品交付给用户的过程自动化。虽然现代软件实践提高了软件生命周期的性能，但它们也增加了这个过程的复杂性。过去的研究改进了CI/CD管道的性能。然而，很少有正式的模型来定量地指导过程和产品质量改进，或者描述自动化和人工活动如何组成和异步交互。因此，本文开发了一个Petri网模型来分析CI/CD管道，以在指定的截止日期前成功交付新功能或更新功能的可能性来改进过程性能。该模型的实用性是通过敏感性分析来证明的，以确定管道的各个阶段，在这些阶段，改进将最显著地提高产品及时交付的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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