TY - GEN
T1 - Modeling legal and regulative requirements for ranking alternatives of cloud-based services
AU - Garg, Radhika
AU - Naudts, Bram
AU - Verbrugge, Sofie
AU - Stiller, Burkhard
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/16
Y1 - 2015/11/16
N2 - The decision to adopt a new technology in an organization is a complex task because of several Non-Functional Requirements (NFR) e.g., availability, interoperability, and presence of several alternatives, e.g., service providers can offer multiple packages. To support such a decision and to select the best alternative a Trade-off based Adoption Methodology for Cloud-based Infrastructure and Services (TrAdeCIS), based on NFR for cloud-based services, was proposed. This methodology makes the decision based on multi-criteria decision algorithms, namely the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Network Process (ANP). However, in addition, the decision for adopting cloud-based services is also influenced by the presence of various legal and regulative constraints. Therefore, it is crucial to understand, identify, and model the effect of such constraints on the evaluation of NFR and available alternatives. This paper, therefore, uses the Goal-oriented Requirement Language (GRL) to model the effect of legal and regulative constraints on ranking available alternatives with respect to NFR. The paper also discusses the extensibility and applicability of this methodology to other domains that require evaluating the effect of legal and regulative constraints on the adoption decision. To illustrate this, decisions within the domain providing better voice and data quality on-board train is also discussed in this paper.
AB - The decision to adopt a new technology in an organization is a complex task because of several Non-Functional Requirements (NFR) e.g., availability, interoperability, and presence of several alternatives, e.g., service providers can offer multiple packages. To support such a decision and to select the best alternative a Trade-off based Adoption Methodology for Cloud-based Infrastructure and Services (TrAdeCIS), based on NFR for cloud-based services, was proposed. This methodology makes the decision based on multi-criteria decision algorithms, namely the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Network Process (ANP). However, in addition, the decision for adopting cloud-based services is also influenced by the presence of various legal and regulative constraints. Therefore, it is crucial to understand, identify, and model the effect of such constraints on the evaluation of NFR and available alternatives. This paper, therefore, uses the Goal-oriented Requirement Language (GRL) to model the effect of legal and regulative constraints on ranking available alternatives with respect to NFR. The paper also discusses the extensibility and applicability of this methodology to other domains that require evaluating the effect of legal and regulative constraints on the adoption decision. To illustrate this, decisions within the domain providing better voice and data quality on-board train is also discussed in this paper.
KW - Adoption of Technology
KW - Business Goals
KW - Goal Oriented Requirement Language
KW - Legal and Regulative Constraints
KW - Non-Functional Requirements
UR - http://www.scopus.com/inward/record.url?scp=84963627106&partnerID=8YFLogxK
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U2 - 10.1109/RELAW.2015.7330208
DO - 10.1109/RELAW.2015.7330208
M3 - Conference contribution
AN - SCOPUS:84963627106
T3 - 8th International Workshop on Requirements Engineering and Law, RELAW 2015 - Proceedings
SP - 25
EP - 32
BT - 8th International Workshop on Requirements Engineering and Law, RELAW 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Workshop on Requirements Engineering and Law, RELAW 2015
Y2 - 25 August 2015
ER -