Software Project Health Analysis: Prediction of Outcome at Initial Stage
Deepanshu Sharma1, Banwari2, Deepak Upadhyay3
1Deepanshu Sharma, School of Information Technology, Center for Development of Advance Computing (C-DAC), Ministry of Communications & IT, Govt. of Noida, (U.P), India.
2Banwari, School of Information Technology, Center for Development of Advance Computing (C-DAC), Ministry of Communications & IT, Govt. of Noida, (U.P), India.
3Deepak Upadhyay, School of Information Technology, Center for Development of Advance Computing (C-DAC), Ministry of Communications & IT, Govt. of Noida, (U.P), India.
Manuscript received on March 12, 2013. | Revised Manuscript received on April 15, 2013. | Manuscript published on April 30, 2013. | PP: 241-244 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1377042413/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper proposes an approach for analyzing the health of a software project. The approach aims at the prediction of software project outcome as Success or Failure at the Initial stage. The approach involves the collection of historical projects data in a defined format. The collected data is in the form of Risk Factors and their corresponding values of Impact and Probability. The collected data is then performed with some pre-processing so as to generate information (rule set) from them. The generated rule set or information can then be applied to future projects so as to predict their outcome based on the values of the Impact and Probability for existing Risk Factors. Here we have used Decision Tree Rule Induction for the generation of the rule set from the pre-processed data.
Keywords: Decision Tree, Project Health Analysis, Risk Factors and Dimensions, Rule Set.