Predicting Expected Budgets:

منو

" Predicting Expected Budgets: "
Duran, Jason Pablo Fossaceca, John

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1104072
Doc. No	:	TLpq2158375272
Main Entry	:	Duran, Jason Pablo
	:	Fossaceca, John
Title & Author	:	Predicting Expected Budgets:\ Duran, Jason PabloFossaceca, John
College	:	The George Washington University
Date	:	2019
student score	:	2019
Degree	:	D.Engr.
Page No	:	114
Abstract	:	If you were to ask any software development manager if quality is an essential attribute for delivering a project on time and within budget, they would emphatically answer "yes". If you were to ask these same managers if they incorporated existing quality metrics into their baselining and budgeting processes, few managers would answer in the affirmative. Although mid to large-sized software projects overrun planned budgets at an alarming frequency, most projects fail to include quality data in the estimation process. This study examines some of the most extensively adopted estimation techniques and identifies how these techniques fail to utilize quality measures. In addition, a new model is introduced that incorporates quality metrics, which reduce variance between estimates and project actual expenditures. This research illustrates how the incorporation of quality data into estimation and baseline processes can potentially reduce software project failure rates.
Subject	:	Computer Engineering
	:	Computer science
	:	Systems science