Software Reliability Analysis of NASA Space Flight Software: A Practical Experience.

Harish Sukhwani, Javier Alonso, Kishor S Trivedi, Issac Mcginnis
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引用次数: 21

Abstract

In this paper, we present the software reliability analysis of the flight software of a recently launched space mission. For our analysis, we use the defect reports collected during the flight software development. We find that this software was developed in multiple releases, each release spanning across all software life-cycle phases. We also find that the software releases were developed and tested for four different hardware platforms, spanning from off-the-shelf or emulation hardware to actual flight hardware. For releases that exhibit reliability growth or decay, we fit Software Reliability Growth Models (SRGM); otherwise we fit a distribution function. We find that most releases exhibit reliability growth, with Log-Logistic (NHPP) and S-Shaped (NHPP) as the best-fit SRGMs. For the releases that experience reliability decay, we investigate the causes for the same. We find that such releases were the first software releases to be tested on a new hardware platform, and hence they encountered major hardware integration issues. Also such releases seem to have been developed under time pressure in order to start testing on the new hardware platform sooner. Such releases exhibit poor reliability growth, and hence exhibit high predicted failure rate. Other problems include hardware specification changes and delivery delays from vendors. Thus, our analysis provides critical insights and inputs to the management to improve the software development process. As NASA has moved towards a product line engineering for its flight software development, software for future space missions will be developed in a similar manner and hence the analysis results for this mission can be considered as a baseline for future flight software missions.

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NASA航天飞行软件可靠性分析:一种实践经验。
本文对某航天新发射任务的飞行软件进行了软件可靠性分析。对于我们的分析,我们使用在飞行软件开发期间收集的缺陷报告。我们发现这个软件是在多个版本中开发的,每个版本跨越了所有软件生命周期阶段。我们还发现软件版本是为四种不同的硬件平台开发和测试的,从现成的或仿真硬件到实际的飞行硬件。对于表现出可靠性增长或衰减的版本,我们采用软件可靠性增长模型(SRGM);否则我们拟合一个分布函数。我们发现大多数版本都表现出可靠性增长,其中Log-Logistic (NHPP)和s形(NHPP)是最适合的srgm。对于经历可靠性衰减的版本,我们研究了其原因。我们发现这样的版本是在新的硬件平台上测试的第一个软件版本,因此它们遇到了主要的硬件集成问题。此外,这些发行版似乎是在时间压力下开发的,以便更快地开始在新硬件平台上进行测试。这样的版本表现出较差的可靠性增长,因此表现出较高的预测故障率。其他问题包括硬件规格的变化和供应商的交付延迟。因此,我们的分析为管理层提供了关键的见解和输入,以改进软件开发过程。由于美国国家航空航天局已朝着其飞行软件开发的产品线工程方向发展,未来空间任务的软件将以类似的方式开发,因此这次任务的分析结果可被视为未来飞行软件任务的基线。
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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