A Fluctuation-Based Modelling Approach to Quantification of the Technical Debt on Mobile Cloud-Based Service Level

Abstract

Enterprise mobility has become a top technology priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.