This paper provides an overview of the new features and model updates in the upcoming release of the NASA Analogy Software Cost Tool (ASCoT). ASCoT, hosted within the Online NASA Space Estimation Tools (ONSET) on the One NASA Cost Engineering (ONCE) Database, is a web-based tool that provides a suite of estimation tools to support early lifecycle NASA flight software cost analysis. In addition to the traditional parametric flight software costing method COCOMO II, ASCoT contains a Bayesian linear regression to predict total flight software development cost as a function of total spacecraft cost, as well as four analogic methods: k-Nearest Neighbors (kNN) and Clustering models to predict Effort (in work-months) and total source lines of code (SLOC). These methods are designed to work primarily with system-level inputs such as mission type (orbiter, lander, etc.), mission destination (Earth, Inner Planetary, etc.), and the number of instruments and deployables. Nonlinear principal components analysis (NLPCA) is performed to find the principal features of the data composed of both categorical and numerical variables and is necessary prior to defining our analogic methods. Sensitivity analyses and in- and out-of-sample model performance results are presented for the Bayesian CER and the analogic models.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Advanced Statistical Methods in Spacecraft Flight Software Cost Estimation: Bayesian Regression and Nonlinear Principal Components Analysis to Support System Engineering in the Early Project Lifecycle


    Contributors:

    Publication date :

    2022-06-25


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English






    Time and space partitioning security components for spacecraft flight software

    Windsor, James / Eckstein, Knut / Mendham, Peter et al. | IEEE | 2011


    Implementing Model Based System Engineering for the Whole Lifecycle of a Spacecraft

    Fischer, Philipp Martin / Lüdtke, Daniel / Lange, Caroline et al. | German Aerospace Center (DLR) | 2016

    Free access