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

Software effort estimation accuracy:...

Lafferty, Mark T.

FindBook

Google Book

Amazon

博客來

Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods./
作者:	Lafferty, Mark T.
面頁冊數:	113 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4483.
Contained By:	Dissertation Abstracts International71-07B.
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3407996
ISBN:	9781124036489

Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods.
Lafferty, Mark T.

Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods. - 113 p.

Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4483.

Thesis (Ph.D.)--Capella University, 2010.

The number of project failures and those projects completed over cost and over schedule has been a significant issue for software project managers. Among the many reasons for failure, inaccuracy in software estimation---the basis for project bidding, budgeting, planning, and probability estimates---has been identified as a root cause of a high percentage of failures. Poor estimates have not only led projects to exceed budget and go over schedule but also, in many cases, to be terminated entirely. The ability to accurately estimate software development projects changes as newer methodologies replace old ones. Research in this area has been sporadic and there has been little research into the root cause of estimation inaccuracy. The purpose of this study was to determine if there was a difference in software effort-estimation accuracy between the development methodologies of waterfall and incremental methodologies, and the newer agile development methodology. Specifically, the impact of using source line of code (SLOC), function point (FP), or story-point sizing methods were explored across three common development methodologies of waterfall, incremental, and agile. The International Software Benchmarking Standards Group (ISBSG) database was analyzed using Statistical Package for the Social Sciences (SPSS) 15.0 software and examined the relationship between the independent variables (IVs) (estimation parameters) and the dependent variable (DV) estimate accuracy of software projects. Though the hypotheses were not able to be tested, the research question was explored by testing the independent variables through one-way ANOVAs. This resulted in no difference in effort accuracy for the two sizing methods SLOC and FP while there were not enough statistical samples of story-point to determine effect. Similarly, there was no difference in effort accuracy for the two development methods waterfall and agile while there were not enough statistical samples of incremental to determine effect. While limitations existed using the ISBSG database, it is recommended that the database becomes a common tool for future research.

ISBN: 9781124036489Subjects--Topical Terms:

626628
Business Administration, Management.

Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods.
LDR:03207nam 2200313 4500 001 1396699
005 20110620110229.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124036489
035 $a (UMI)AAI3407996
035 $a AAI3407996
040 $a UMI $c UMI
100 1 $a Lafferty, Mark T. $3 1675493
245 1 0 $a Software effort estimation accuracy: A comparative study of estimations based on software sizing and development methods.
300 $a 113 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4483.
500 $a Adviser: W. Don Gottwald.
502 $a Thesis (Ph.D.)--Capella University, 2010.
520 $a The number of project failures and those projects completed over cost and over schedule has been a significant issue for software project managers. Among the many reasons for failure, inaccuracy in software estimation---the basis for project bidding, budgeting, planning, and probability estimates---has been identified as a root cause of a high percentage of failures. Poor estimates have not only led projects to exceed budget and go over schedule but also, in many cases, to be terminated entirely. The ability to accurately estimate software development projects changes as newer methodologies replace old ones. Research in this area has been sporadic and there has been little research into the root cause of estimation inaccuracy. The purpose of this study was to determine if there was a difference in software effort-estimation accuracy between the development methodologies of waterfall and incremental methodologies, and the newer agile development methodology. Specifically, the impact of using source line of code (SLOC), function point (FP), or story-point sizing methods were explored across three common development methodologies of waterfall, incremental, and agile. The International Software Benchmarking Standards Group (ISBSG) database was analyzed using Statistical Package for the Social Sciences (SPSS) 15.0 software and examined the relationship between the independent variables (IVs) (estimation parameters) and the dependent variable (DV) estimate accuracy of software projects. Though the hypotheses were not able to be tested, the research question was explored by testing the independent variables through one-way ANOVAs. This resulted in no difference in effort accuracy for the two sizing methods SLOC and FP while there were not enough statistical samples of story-point to determine effect. Similarly, there was no difference in effort accuracy for the two development methods waterfall and agile while there were not enough statistical samples of incremental to determine effect. While limitations existed using the ISBSG database, it is recommended that the database becomes a common tool for future research.
590 $a School code: 1351.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Information Technology. $3 1030799
650 4 $a Computer Science. $3 626642
690 $a 0454
690 $a 0489
690 $a 0984
710 2 $a Capella University. $b School of Business. $3 1018437
773 0 $t Dissertation Abstracts International $g 71-07B.
790 1 0 $a Gottwald, W. Don, $e advisor
790 1 0 $a Livingood, Richard $e committee member
790 1 0 $a Asdjodi-Mohadjer, Maryam $e committee member
790 $a 1351
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3407996