Estimators and analysts are increasingly being tasked to develop better models and reliable cost estimates in support of program planning and execution. While there has been extensive work on improving parametric methods for cost estimation, there is very little focus on the use of cost models based on analogy and clustering algorithms. In this paper we summarize the results of our research in developing an analogy method for estimating NASA spacecraft flight software using spectral clustering on system characteristics (symbolic non-numerical data) and evaluate its performance by comparing it to a number of the most commonly used estimation methods. The strengths and weaknesses of each method based on their performance are also discussed. The paper concludes with an overview of the analogy estimation tool (ASCoT) developed for use within NASA that implements the recommended analogy algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving and expanding NASA software cost estimation methods


    Contributors:


    Publication date :

    2016-03-01


    Size :

    2524041 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    The NASA Analogy Software Cost Tool Suite: Expanding Our Estimation Horizons

    Johnson, James / Youmans, Tom / Saing, Michael et al. | NTRS | 2018


    An Overview of the NASA Software Cost Improvement Task: How Does NASA Estimate Software Cost

    Hihn, Jairus / Martin, Kevin / Van Der Aar, Lisa et al. | NTRS | 2012



    Improving Software Engineering on NASA Projects

    T. Crumbley / J. C. Kelly | NTIS | 2010


    Improving Software Engineering on NASA Projects

    Crumbley, Tim / Kelly, John C. | NTRS | 2010