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Pattern recognition software develop...

The George Washington University., Engineering Mgt and Systems Engineering.

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Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies./
Author:	Darwiesh, Moeen.
Description:	167 p.
Notes:	Advisers: Shahram Sarkani; Thomas Mazzuchi.
Contained By:	Dissertation Abstracts International69-03B.
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3304081
ISBN:	9780549521105

Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies.
Darwiesh, Moeen.

Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies. - 167 p.

Advisers: Shahram Sarkani; Thomas Mazzuchi.

Thesis (D.Sc.)--The George Washington University, 2008.

Literature offers little insight into the effectiveness of the Software Development Methodologies (SDM) at different life-cycle phases of development. In comparison, plan-based methodologies, such as Waterfall, Spiral, and Iterative may offer discipline and standards in development practices. However, plan-based methodologies assume that a full listing of requirements is available prior to development and invite limited interaction with the customers prior to final product delivery. The Agile process, on the other hand, as a process, embraces the "divide and conquer" technique leading to a faster product development turn around and more client involvement. This research introduces a model that extracts and empirically tests three main software development driver constructs: Facilitating Conditions, Affect, and Perceived Consequences. These constructs are derived from a well-known human-behavior model. Our model, although it can be used for evaluating the effectiveness of different software methodologies, will be used to measure the effectiveness of the Agile methodologies at requirement, design, and implementation stages. Hypothesis testing for our model favored most the use of Agile process at implementation stage and least at design. Thus, our research introduces anew Agile methodology to enhance the effect of Agile methodologies during design life-cycle stage. We use one of Agile's methodologies, SCRUM, as a base for our methodology and then inject the Design Pattern Recognition techniques and the RAD's Time-boxed concepts to form a methodology that combines the best bred of the above-mentioned concepts.

ISBN: 9780549521105Subjects--Topical Terms:

1018128
Engineering, System Science.

Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies.
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100 1 $a Darwiesh, Moeen. $3 1036189
245 1 0 $a Pattern recognition software development methodology (PRSDM) based on design pattern recognition techniques and agile methodologies.
300 $a 167 p.
500 $a Advisers: Shahram Sarkani; Thomas Mazzuchi.
500 $a Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1930.
502 $a Thesis (D.Sc.)--The George Washington University, 2008.
520 $a Literature offers little insight into the effectiveness of the Software Development Methodologies (SDM) at different life-cycle phases of development. In comparison, plan-based methodologies, such as Waterfall, Spiral, and Iterative may offer discipline and standards in development practices. However, plan-based methodologies assume that a full listing of requirements is available prior to development and invite limited interaction with the customers prior to final product delivery. The Agile process, on the other hand, as a process, embraces the "divide and conquer" technique leading to a faster product development turn around and more client involvement. This research introduces a model that extracts and empirically tests three main software development driver constructs: Facilitating Conditions, Affect, and Perceived Consequences. These constructs are derived from a well-known human-behavior model. Our model, although it can be used for evaluating the effectiveness of different software methodologies, will be used to measure the effectiveness of the Agile methodologies at requirement, design, and implementation stages. Hypothesis testing for our model favored most the use of Agile process at implementation stage and least at design. Thus, our research introduces anew Agile methodology to enhance the effect of Agile methodologies during design life-cycle stage. We use one of Agile's methodologies, SCRUM, as a base for our methodology and then inject the Design Pattern Recognition techniques and the RAD's Time-boxed concepts to form a methodology that combines the best bred of the above-mentioned concepts.
590 $a School code: 0075.
650 4 $a Engineering, System Science. $3 1018128
690 $a 0790
710 2 $a The George Washington University. $b Engineering Mgt and Systems Engineering. $3 1028210
773 0 $t Dissertation Abstracts International $g 69-03B.
790 $a 0075
790 1 0 $a Elnaj, Saeed $e committee member
790 1 0 $a Mazzuchi, Thomas, $e advisor
790 1 0 $a Murphree, Edward $e committee member
790 1 0 $a Sarkani, Shahram, $e advisor
790 1 0 $a Wasek, James $e committee member
791 $a D.Sc.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3304081