IDEAS home Printed from
   My bibliography  Save this article

Model Based Estimation and Tracking Method for Agile Software Project


  • Sungjoo Kang

    (Electronics and Telecommunications Research Institute (ETRI), Korea)

  • Okjoo Choi

    (Korea Advanced Institute of Science and Technology (KAIST), Korea)

  • Jongmoon Baik

    (Korea Advanced Institute of Science and Technology (KAIST), Korea)


In this paper, the authors propose a software cost estimation model for agile software development project which can help estimate concrete development costs for the desired features of a product and tracks the project progress dynamically. In general, cost estimation methods for agile developments used a story point. Because it is relative value, the estimation results tend to be easily fluctuated by the small variation of the base story point. To estimate the effort of a project development, the authors use function points in addition to the story point. The function points are determined based on the desired features of the project. The authors adopt the Kalman filter algorithm for tracking project progress. The daily variation of the function point is observed and inputted to the Kalman Filter for providing concrete estimation and velocity. The authors then validate the better performance of our model by comparing with traditional methods through a case study.

Suggested Citation

  • Sungjoo Kang & Okjoo Choi & Jongmoon Baik, 2012. "Model Based Estimation and Tracking Method for Agile Software Project," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 3(2), pages 1-15, April.
  • Handle: RePEc:igg:jhcitp:v:3:y:2012:i:2:p:1-15

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jhcitp:v:3:y:2012:i:2:p:1-15. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Journal Editor). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.