عنوان

Predicting Expected Budgets: Integrated Quality and Risk

Number

TL50112

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Predicting Expected Budgets: Integrated Quality and Risk

General Material Designation

[Thesis]

First Statement of Responsibility

Duran, Jason Pablo

Subsequent Statement of Responsibility

Fossaceca, John

Name of Publisher, Distributor, etc.

The George Washington University

Date of Publication, Distribution, etc.

2019

Text of Note

114 p.

Dissertation or thesis details and type of degree

D.Engr.

Body granting the degree

The George Washington University

Text preceding or following the note

2019

Text of Note

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 Term

Computer Engineering

Subject Term

Computer science

Subject Term

Systems science

Duran, Jason Pablo

Fossaceca, John

The George Washington University

Electronic name

p

[Thesis]

276903

a

Y