One of the goals of collecting project data during software development and evolution is to assess how well the project did and what should be done to improve in the future. With the wide range of data often collected and the many complicated relationships between them, this is not always easy. This paper applies some techniques from operations research to the problem of data analysis to illustrate how one could approach software process improvement quantitatively.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    On using NASA Software Engineering Laboratory project data for evaluating the efficiency of software production


    Beteiligte:
    von Mayrhauser, A. (Autor:in) / Graves, C. (Autor:in) / Roeseler, A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.1997


    Format / Umfang :

    1272857 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    On Using NASA Software Engineering Laboratory Project Data for Evaluating the Efficiency of Software Production

    Von Mayrhauser, A. / Graves, C. / Roeseler, A. et al. | British Library Conference Proceedings | 1997


    Software Process Improvement in the NASA Software Engineering Laboratory

    F. McGarry / R. Pajerski / G. Page et al. | NTIS | 1994


    Software process improvement in the NASA software engineering laboratory

    Mcgarry, Frank / Pajerski, Rose / Page, Gerald et al. | NTRS | 1994



    Software Engineering Laboratory: Data validation

    Zelkowwitz, M. V. / Chen, E. | NTRS | 1979