临界预测的综合方法

C. Ebert, T. Liedtke
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引用次数: 15

摘要

本文提供了关键预测技术的见解,因为它们应用于阿尔卡特1000 S12交换软件的开发。主要目标是识别关键组件,并在生命周期中尽可能早地做出故障预测,从而减少与太早或太晚发布相结合的管理风险。该方法集成在开发过程中,并从基于复杂性的模块临界预测开始。被确定为过于复杂的模块被给予额外的测试或审查工作。释放时间预测和现场性能预测都基于量身定制的ENHPP可靠性模型。为了完整的临界预测方法,本文提供了一个约为2 MLOC的开关系统的最新开发数据。切换系统目前处于操作使用中,因此允许对预测模型进行验证和调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated approach for criticality prediction
The paper provides insight in techniques for criticality prediction as they are applied within the development of Alcatel 1000 S12 switching software. The primary goal is to identify critical components and to make failure predictions as early as possible during the life cycle and hence reduce managerial risk combined with too early or too late release. The approach is integrated in the development process and starts with complexity based criticality prediction of modules. Modules identified as overly complex are given additional tests or review efforts. Release time prediction and field performance prediction are both based on tailored ENHPP reliability models. For the complete approach of criticality prediction, recent data from the development of a switching system with around 2 MLOC is provided. The switching system is currently in operational use, thus allowing for validation and tuning of the prediction models.
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