Predicting Expected Budgets: Integrated Quality and Risk
نام عام مواد
[Thesis]
نام نخستين پديدآور
Duran, Jason Pablo
نام ساير پديدآوران
Fossaceca, John
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
The George Washington University
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
114 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
D.Engr.
کسي که مدرک را اعطا کرده
The George Washington University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Computer Engineering
اصطلاح موضوعی
Computer science
اصطلاح موضوعی
Systems science
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )