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Predicting Expected Budgets: Integra...

Duran, Jason Pablo.

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Predicting Expected Budgets: Integrated Quality and Risk.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting Expected Budgets: Integrated Quality and Risk./
Author:	Duran, Jason Pablo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	114 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:	Dissertations Abstracts International80-06B.
Subject:	Computer Engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13420490
ISBN:	9780438726376

Predicting Expected Budgets: Integrated Quality and Risk.
Duran, Jason Pablo.

Predicting Expected Budgets: Integrated Quality and Risk. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 114 p.

Source: Dissertations Abstracts International, Volume: 80-06, Section: B.

Thesis (D.Engr.)--The George Washington University, 2019.

This item must not be sold to any third party vendors.

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.

ISBN: 9780438726376Subjects--Topical Terms:

1567821
Computer Engineering.

Predicting Expected Budgets: Integrated Quality and Risk.
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520 $a 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.
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