{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:37:48Z","timestamp":1781109468586,"version":"3.54.1"},"reference-count":13,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,4,1]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/jhcitp.2012040101","type":"journal-article","created":{"date-parts":[[2012,4,12]],"date-time":"2012-04-12T16:55:04Z","timestamp":1334249704000},"page":"1-15","source":"Crossref","is-referenced-by-count":1,"title":["Model Based Estimation and Tracking Method for Agile Software Project"],"prefix":"10.4018","volume":"3","author":[{"given":"Sungjoo","family":"Kang","sequence":"first","affiliation":[{"name":"Electronics and Telecommunications Research Institute (ETRI), Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Okjoo","family":"Choi","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology (KAIST), Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jongmoon","family":"Baik","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology (KAIST), Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jhcitp.2012040101-0","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.1983.235271"},{"key":"jhcitp.2012040101-1","unstructured":"Alexander, A. 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In Proceedings of the 4th International Workshop on Predictor Models in Software Engineering (pp. 63-70).","DOI":"10.1145\/1370788.1370804"},{"key":"jhcitp.2012040101-7","doi-asserted-by":"crossref","unstructured":"Logue, K., & McDaid, K. (2008). Agile release planning: Dealing with uncertainty in development time and business value. In Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (pp. 437-442).","DOI":"10.1109\/ECBS.2008.58"},{"key":"jhcitp.2012040101-8","unstructured":"Logue, K., McDaid, K., & Greer, D. (2007). Allowing for task uncertainties and dependencies in agile release planning. In Proceedings of the 4th Software Measurement European Forum (pp. 275-284)."},{"key":"jhcitp.2012040101-9","unstructured":"Longstreet, D. (2011). Function points analysis training course, FP online class. Retrieved March 31, 2011, from http:\/\/ www.SoftwareMetrics.Com"},{"key":"jhcitp.2012040101-10","unstructured":"McDaid, K., Greer, D., Keenan, F., Prior, P., Taylor, P., & Coleman, G. (2006). Managing uncertainty in agile release planning. In Proceedings of the 18th International Conference on Software Engineering and Knowledge Engineering (pp. 138-143)."},{"key":"jhcitp.2012040101-11","unstructured":"Smits, H. (2011). Scaling agile processes: Five levels of planning. Retrieved March 31, 2011, from http:\/\/www.pragmaticmarketing.com\/publications\/topics\/08\/scaling-agile-processes-five-levels-of-planning"},{"key":"jhcitp.2012040101-12","unstructured":"Welch, G., & Bishop, G. (2001). An introduction to the Kalman filter (Tech. Rep. No. 95-041). Chapel Hill, NC: University of North Carolina at Chapel Hill."}],"container-title":["International Journal of Human Capital and Information Technology Professionals"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=66095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:29:59Z","timestamp":1654108199000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jhcitp.2012040101"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2012,4,1]]},"references-count":13,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,4]]}},"URL":"https:\/\/doi.org\/10.4018\/jhcitp.2012040101","relation":{},"ISSN":["1947-3478","1947-3486"],"issn-type":[{"value":"1947-3478","type":"print"},{"value":"1947-3486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4,1]]}}}