東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Predicting Expected Budgets: Integra...

Duran, Jason Pablo.

FindBook

Google Book

Amazon

博客來

Predicting Expected Budgets: Integrated Quality and Risk.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predicting Expected Budgets: Integrated Quality and Risk./
作者:	Duran, Jason Pablo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	114 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:	Dissertations Abstracts International80-06B.
標題:	Computer Engineering. -
電子資源:	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.
LDR:02057nmm a2200337 4500 001 2209021
005 20191025102634.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9780438726376
035 $a (MiAaPQ)AAI13420490
035 $a (MiAaPQ)gwu:14504
035 $a AAI13420490
040 $a MiAaPQ $c MiAaPQ
100 1 $a Duran, Jason Pablo. $3 3436101
245 1 0 $a Predicting Expected Budgets: Integrated Quality and Risk.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 114 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Fossaceca, John.
502 $a Thesis (D.Engr.)--The George Washington University, 2019.
506 $a This item must not be sold to any third party vendors.
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.
590 $a School code: 0075.
650 4 $a Computer Engineering. $3 1567821
650 4 $a Systems science. $3 3168411
650 4 $a Computer science. $3 523869
690 $a 0464
690 $a 0790
690 $a 0984
710 2 $a The George Washington University. $b Engineering Management. $3 1262973
773 0 $t Dissertations Abstracts International $g 80-06B.
790 $a 0075
791 $a D.Engr.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13420490