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Modeling legal and regulative requirements for ranking alternatives of cloud-based services


Garg, Radhika; Naudts, Bram; Verbrugge, Sofie; Stiller, Burkhard (2015). Modeling legal and regulative requirements for ranking alternatives of cloud-based services. In: In the Proceedings of 8th International Workshop on Requirements Engineering and Law, Ottawa, Canada, 25 September 2015 - 26 September 2015, 25-32.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:26 September 2015
Deposited On:15 Dec 2015 13:52
Last Modified:29 Aug 2017 14:47
Publisher:IEEE
Additional Information:Published in: Requirements Engineering and Law (RELAW), 2015 IEEE Eighth International Workshop on
Publisher DOI:https://doi.org/10.1109/RELAW.2015.7330208
Other Identification Number:merlin-id:12748

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