@inproceedings{8ead4dcdafd0469ba5e8fd79aa32d7ce,
title = "Rule-based multi-criteria framework for SaaS application architecture selection",
abstract = "Software-as-a-service (SaaS) is a very successful model for providing cloud-based services over the internet. However, due to the dynamic nature of SaaS services, it becomes very challenging to ensure provision of scalability, applying frequent maintenance and functionality updates to SaaS Services. SOAP and REST are the two mostly used software architectural styles for accessing and consuming SaaS services in cloud environment and each have its distinct advantages. Therefore, to address above mentioned challenges, it is critical to choose the suitable architectural style because the success of a SaaS is strongly coupled with its architecture style. Choosing the right software architecture for a system is a multi-criteria decision making problem and it takes into consideration the architectural style characteristics, non-functional requirements and working domain requirements. In this paper, we propose a rule-based multi-criteria decision support system (DSS) for a SaaS application architecture selection. Our proposed DSS uses weighted sum model (WSM) that take into account the architectural style characteristics, non-functional and domain specific requirements.",
keywords = "Architectural style, Cloud computing, Decision support system, REST, SOA, SOAP, Software architecture, Software as a service",
author = "Falak Nawaz and Ahmad Mohsin and Syda Fatima and Janjua, {Naeem Khalid}",
year = "2015",
month = oct,
doi = "10.1007/978-3-319-25261-2_12",
language = "English",
isbn = "978-3-319-25260-5",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer, Cham",
pages = "129--138",
editor = "Tharam Dillon",
booktitle = "Artificial Intelligence in Theory and Practice IV",
note = "4th IFIP TC 12 International Conference on Artificial Intelligence , IFIP AITP 2015 ; Conference date: 04-10-2015 Through 07-10-2015",
}