Survey of Risk in Software Project Development by Data Mining Tree Algorithms [ READ ]
Dhyan Chandra Yadav, Saurabh Pal
The knowledge or technical skill have major role in software engineering. Correction and completion are necessary part in software coding and documentation. Every software has different quality according to the requirement of the software project. Mistaken bug is detected by software tracking system. Mistaken bug problem is a coverable problem and mentation in the problem report for correction. In this paper we proposed and analyzed three data mining tree algorithms find the geometric mean, J static coefficient parameter (for sensitivity and specificity),correctness, completeness, error rate of data object by the help of AD Tree, Lad Tree and REP Tree algorithms.
Dhyan Chandra Yadav, Saurabh Pal
The knowledge or technical skill have major role in software engineering. Correction and completion are necessary part in software coding and documentation. Every software has different quality according to the requirement of the software project. Mistaken bug is detected by software tracking system. Mistaken bug problem is a coverable problem and mentation in the problem report for correction. In this paper we proposed and analyzed three data mining tree algorithms find the geometric mean, J static coefficient parameter (for sensitivity and specificity),correctness, completeness, error rate of data object by the help of AD Tree, Lad Tree and REP Tree algorithms.
