A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements

J.A.R. Noppen, Mehmet Aksit

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    It is a known fact that requirements change continuously, and as a consequence, it may be necessary to reschedule development activities so that the new requirements can be addressed in a costeffective manner. Unfortunately, changes in requirements cannot be specified precisely. Moreover, current software development methods do not provide explicit means to adapt development processes with respect to unanticipated changes in requirements. This article first proposes a method based on Markov Decision Theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. Second, a tool is described that is built to support the method. Finally, some experimental results are presented on the applicability of the proposed method.
    Original languageUndefined
    Title of host publication6th workshop on Economics-Driven Software Engineering Research
    EditorsJ. Kontio, H. Erdogmus, M.A. Cusuman, D. Raffo
    Place of PublicationUnited Kingdom
    PublisherThe Institution of Electrical Engineers
    Pages39-42
    Number of pages4
    ISBN (Print)0863414249
    Publication statusPublished - May 2004

    Publication series

    Name
    Number6

    Keywords

    • Evaluation
    • Software development
    • EWI-10159
    • METIS-220426
    • IR-48709
    • Experiment

    Cite this

    Noppen, J. A. R., & Aksit, M. (2004). A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements. In J. Kontio, H. Erdogmus, M. A. Cusuman, & D. Raffo (Eds.), 6th workshop on Economics-Driven Software Engineering Research (pp. 39-42). United Kingdom: The Institution of Electrical Engineers.
    Noppen, J.A.R. ; Aksit, Mehmet. / A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements. 6th workshop on Economics-Driven Software Engineering Research. editor / J. Kontio ; H. Erdogmus ; M.A. Cusuman ; D. Raffo. United Kingdom : The Institution of Electrical Engineers, 2004. pp. 39-42
    @inproceedings{b0c1c04d2d37468f80512479212e42ae,
    title = "A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements",
    abstract = "It is a known fact that requirements change continuously, and as a consequence, it may be necessary to reschedule development activities so that the new requirements can be addressed in a costeffective manner. Unfortunately, changes in requirements cannot be specified precisely. Moreover, current software development methods do not provide explicit means to adapt development processes with respect to unanticipated changes in requirements. This article first proposes a method based on Markov Decision Theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. Second, a tool is described that is built to support the method. Finally, some experimental results are presented on the applicability of the proposed method.",
    keywords = "Evaluation, Software development, EWI-10159, METIS-220426, IR-48709, Experiment",
    author = "J.A.R. Noppen and Mehmet Aksit",
    year = "2004",
    month = "5",
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    isbn = "0863414249",
    publisher = "The Institution of Electrical Engineers",
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    Noppen, JAR & Aksit, M 2004, A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements. in J Kontio, H Erdogmus, MA Cusuman & D Raffo (eds), 6th workshop on Economics-Driven Software Engineering Research. The Institution of Electrical Engineers, United Kingdom, pp. 39-42.

    A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements. / Noppen, J.A.R.; Aksit, Mehmet.

    6th workshop on Economics-Driven Software Engineering Research. ed. / J. Kontio; H. Erdogmus; M.A. Cusuman; D. Raffo. United Kingdom : The Institution of Electrical Engineers, 2004. p. 39-42.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    N2 - It is a known fact that requirements change continuously, and as a consequence, it may be necessary to reschedule development activities so that the new requirements can be addressed in a costeffective manner. Unfortunately, changes in requirements cannot be specified precisely. Moreover, current software development methods do not provide explicit means to adapt development processes with respect to unanticipated changes in requirements. This article first proposes a method based on Markov Decision Theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. Second, a tool is described that is built to support the method. Finally, some experimental results are presented on the applicability of the proposed method.

    AB - It is a known fact that requirements change continuously, and as a consequence, it may be necessary to reschedule development activities so that the new requirements can be addressed in a costeffective manner. Unfortunately, changes in requirements cannot be specified precisely. Moreover, current software development methods do not provide explicit means to adapt development processes with respect to unanticipated changes in requirements. This article first proposes a method based on Markov Decision Theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. Second, a tool is described that is built to support the method. Finally, some experimental results are presented on the applicability of the proposed method.

    KW - Evaluation

    KW - Software development

    KW - EWI-10159

    KW - METIS-220426

    KW - IR-48709

    KW - Experiment

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    Noppen JAR, Aksit M. A case study on Optimization of Resource Distribution to cope with Unanticipated Changes in Requirements. In Kontio J, Erdogmus H, Cusuman MA, Raffo D, editors, 6th workshop on Economics-Driven Software Engineering Research. United Kingdom: The Institution of Electrical Engineers. 2004. p. 39-42