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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Popli, R. Chauhan, N. |
| Copyright Year | 2014 |
| Description | Author affiliation: Comput. Eng. Dept., YMCA Univ. of Sci. & Technol., Faridabad, India (Popli, R.; Chauhan, N.) |
| Abstract | The key measures of any project about its perfectness are ability to complete in the scheduled time and within the estimated cost. Cost and effort are important factors whenever a project is developed. The estimation of cost and effort is a difficult task in Agile environment. It has been observed that the current Agile methods mostly depends on an expert opinion, planning poker and historical data of project for estimation of cost, size, effort and duration. In absence of the historical data and experts the previous methods are not efficient. So there is need of an algorithmic method, which can calculate cost and effort of the project. In this direction S.Bhalero, Maya Ingel [2] has considered some project-related factors that calculate the size as well as duration of the project. However, several other project as well as people related factors may affect the Agile environment. In this work an Algorithmic estimation method is being proposed considering various factors thereby estimating the more accurate release date, cost, effort and duration for the project. The effectiveness and feasibility of the proposed algorithm has been shown by considering three cases in which different levels of factors are taken and compared. |
| Sponsorship | IEEE Delhi Sect. |
| Starting Page | 564 |
| Ending Page | 569 |
| File Size | 167276 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789380544106 |
| e-ISBN | 9789380544120 |
| DOI | 10.1109/IndiaCom.2014.6828023 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-05 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Bharati Vidyapeeth University |
| Subject Keyword | Computers User-stories Agile Estimation Model Software algorithms Estimation Size Effort Software Hardware Complexity theory Security Cost |
| Content Type | Text |
| Resource Type | Article |
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