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首页> 外文期刊>Innovations in Systems and Software Engineering >A requirements-based, bottom-up SLOC estimate and analysis of NASA's Orion crew exploration vehicle spacecraft flight software
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A requirements-based, bottom-up SLOC estimate and analysis of NASA's Orion crew exploration vehicle spacecraft flight software

机译:基于需求的,自下而上的SLOC估算和分析NASA的Orion乘员组探索飞行器航天器飞行软件

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摘要

Estimating the size and amount of resources required to develop a large and complex software system is challenging. Early in a project lifecycle, requirements for the system may be immature and functionality defined only at a high level, yet resource profiles are necessary for appropriately funding, staffing, and developing a viable project plan. In addition, recommendations on key recurring questions related to software size and functionality (such as processor sizing, implementation phasing, allocations between the spacecraft and the ground, and possible downsizing/simplification opportunities) need to be established to aid in system design and efficient project planning. This paper presents the methodology and results of a bottom-up software size estimation and analysis study for NASA's Orion crewed spacecraft flight software, based on functional software requirements developed during the pre-Preliminary Design Review (life-cycle) phase. Results of this study are used to independently assess contractor software size estimates, better understand envisioned functionality, and better manage resources and staffing. Data compiled in this study are also used to evaluate requirements generation process success as a basis to predict processor utilization, and to aid in software simplification, migration, and implementation phasing efforts.
机译:估计开发大型复杂软件系统所需资源的大小和数量具有挑战性。在项目生命周期的早期,对系统的需求可能不成熟,只能在较高的级别上定义功能,但是对于适当的资金筹措,人员配备和制定可行的项目计划而言,资源配置文件是必需的。此外,需要针对与软件大小和功能(例如处理器的大小,实施阶段,航天器与地面之间的分配以及可能的缩小/简化机会)相关的关键重复问题提出建议,以帮助系统设计和高效项目规划。本文根据在初步设计评审(生命周期)阶段开发的功能软件需求,介绍了针对NASA的Orion航天器飞行软件的自下而上的软件大小估计和分析研究的方法和结果。这项研究的结果用于独立评估承包商软件的大小估计,更好地了解设想的功能以及更好地管理资源和人员。本研究中收集的数据还用于评估需求生成过程的成功程度,以此作为预测处理器利用率的基础,并有助于简化软件,迁移和实施阶段的工作。

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