Software Effort Estimation Using Data Mining Techniques

Author:

Benala Tirimula Rao,Mall Rajib,Srikavya P.,HariPriya M. Vani

Publisher

Springer International Publishing

Reference8 articles.

1. Bowie, D.K.: Using multi variate logistic regression analysis to predict black male student persistence at a predominately white institution. An approach investigating the relationship between engagement and persistence. PhD Dissertation. Louisiana State University and Agricultural and Mechanical College, USA (2006)

2. Saha, G.: Applying logistic regression model to the examination results data. Journal of Reliability and Statistical Studies 4(2), 1–13 (2011)

3. Dejaeger, K., Verbeke, W., Martens, D., Baesens, B.: Data Mining Techniques for Software Effort estimation: a Comparative study. IEEE Transactions on Software Engineering 1(1), 1–25 (2011)

4. Mendes, E.: Cost Estimation Techniques for Web Projects. IGI Publishing (2008)

5. Pickard, L., Kitchenham, B., Linkman, S.: Using simulated data sets to compare data analysis techniques used for software cost modeling. IEE Proceeding of Software 148(6), 165–174 (2001)

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1. Data analytics for project delivery: unlocking the potential of an emerging field;International Journal of Managing Projects in Business;2024-04-02

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