DocumentCode :
1872598
Title :
A Hybrid Software Architecture Evaluation Method for FDD - An Agile Process Model
Author :
Kanwal, Faria ; Junaid, Komal ; Fahiem, Muhammad Abuzar
Author_Institution :
Dept. of Comput. Sci., Lahore Coll. for Women Univ., Lahore, Pakistan
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The software development industry suffers from the delay in project completion time due to heavy documentation requirements of traditional process models. To overcome these delays, agile process models are getting a wide acceptance and popularity in the industry. The beauty of these models is light weight documentation and heavy intercommunications. Due to an emphasis of these models on rapid development, there is an ever increasing need of architecture evaluation. A single software architecture evaluation method (SAEM) capable of preserving the agility does not exist at the moment. In this paper, we have proposed a hybrid SAEM for feature driven development (FDD) agile process model. The proposed SAEM is hybrid of quality attribute workshop (QAW), architecture tradeoff analysis method (ATAM) and active review for intermediate designs (ARID).
Keywords :
DP industry; software architecture; software performance evaluation; software prototyping; software quality; system documentation; ARID; ATAM; FDD agile process model; QAW; SAEM; active review for intermediate designs; architecture tradeoff analysis method; feature driven development agile process model; heavy documentation requirements; heavy intercommunications; hybrid software architecture evaluation method; light weight documentation; project completion time; quality attribute workshop; software development industry; Analytical models; Biological system modeling; Computer architecture; Object oriented modeling; Programming; Software; Software architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5676863
Filename :
5676863
Link To Document :
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