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ANP-GP Approach for Selection of Software Architecture Styles
K. Delhi Babu, P. Govindarajulu, A. Ramamohana Reddy, A.N. Aruna Kumari
Pages - 91 - 104     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 1   Issue - 5    |    Publication Date - January / February  Table of Contents
Software Architecture, Selection of Software Architecture Styles, Multi-Criteria Decision Making, Analytic Network Process (ANP), Zero-One Goal Programming (ZOGP), Interdependence
Abstract Selection of Software Architecture for any system is a difficult task as many different stake holders are involved in the selection process. Stakeholders view on quality requirements is different and at times they may also be conflicting in nature. Also selecting appropriate styles for the software architecture is important as styles impact characteristics of software (e.g. reliability, performance). Moreover, styles influence how software is built as they determine architectural elements (e.g. components, connectors) and rules on how to integrate these elements in the architecture. Selecting the best style is difficult because there are multiple factors such as project risk, corporate goals, limited availability of resources, etc. Therefore this study presents a method, called SSAS, for the selection of software architecture styles. Moreover, this selection is a multi-criteria decision-making problem in which different goals and objectives must be taken into consideration. In this paper, we suggest an improved selection methodology, which reflects interdependencies among evaluation criteria and alternatives using analytic network process (ANP) within a zero-one goal programming (ZOGP) model. Keywords: Software Architecture; Selection of Software Architecture Styles; Multi-Criteria Decision Making; Interdependence; Analytic Network Process (ANP); Zero-One Goal Programming (ZOGP)
CITED BY (4)  
1 Mohsin, A., Fatima, S., Khan, A. U., & Nawaz, F. (2016). An Automated Approach for Web Services Architectural Style Selection. J Inform Tech Softw Eng, 6(176), 2.
2 Kim, S. (2015). A quantitative and knowledge–based approach to choosing security architectural tactics. International Journal of Ad Hoc and Ubiquitous Computing, 18(1-2), 45-53.
3 Xu, Y., & Liang, P. (2014). Automated software architectural synthesis using patterns: A cooperative coevolution approach. In Proc. 26th Int. Conf. on Software Engineering and Knowledge Engineering (pp. 174-180).
4 Xu, Y., & Liang, P. (2014). A Cooperative Coevolution Approach to Automate Pattern-based Software Architectural Synthesis. International Journal of Software Engineering and Knowledge Engineering, 24(10), 1387-1411.
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Professor K. Delhi Babu
Professor P. Govindarajulu
Mr. A. Ramamohana Reddy
- India
Mr. A.N. Aruna Kumari
- India