Financial Software as a Service

Software as a service as one of the cloud delivery models that supports fine-grained components. Financial applications demand better performance and accuracy in a cloud than the traditional computing platforms. Therefore, designing financial software as a service (FSaaS) requires an engineering and systematic approach. This paper has proposed an integrated service-oriented architecture and a SaaS component model for financial domain that provides the required scalability, flexibility and customisation. It has also demonstrated the design and customisation of service component interfaces to a financial simulation so that it provides automatic prediction models for investors to know accurate results for buy and sale prices. Therefore, large-scaled simulations can be achieved within a matter of 13.5 second for outlier removal and within 9 seconds for high-performance risk computation on the Cloud. This paper shows the holistic and complete approach of illustrating the system design of FSaaS, showing the two major algorithms and the results of experiments of running these two algorithms. It provides plans to integrate new and existing services with FSaaS

Introducing a novel security-enhanced agile software development process

In this paper, a novel security-enhanced agile software development process, SEAP, is introduced. It has been designed, tested, and implemented at Ericsson AB, specifically in the development of a mobile money transfer system. Two important features of SEAP are 1) that it includes additional security competences, and 2) that it includes the continuous conduction of an integrated risk analysis for identifying potential threats. As a general finding of implementing SEAP in software development, the developers solve a large proportion of the risks in a timely, yet cost-efficient manner. The default agile software development process at Ericsson AB, i.e. where SEAP was not included, required significantly more employee hours spent for every risk identified compared to when integrating SEAP. The default development process left 50.0% of the risks unattended in the software version that was released, while the application of SEAP reduced that figure to 22.5%. Furthermore, SEAP increased the proportion of risks that were corrected from 12.5% to 67.9%, a more than five times increment

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Not AvailableI ndia has a large livestock population and projections indicate that to feed this large livestock population by the year 2020 India would require 526 million tonnes (MT) of dry fodder, 855 MT of green fodder, and 56 MT of concentrate feed. On the other hand land allocation for cultivation of fodder crops in India is only 5 per cent of the gross cropped area and India has a long history of shortage of fodder for livestock. This is one of the main contributing factors for the low productivity of Indian livestock. The critical role of trees and shrubs in livestock production has been well recognized in India. Tree leaves, fruits, pods, twigs etc., are traditionally used for feeding livestock especially goats. In arid and semi arid regions of the country tree fodder is an important feed resource or the only feed resource available for livestock. It is in this scenario that to alleviate the existing fodder shortage, to create fodder banks for the future, to overcome problems associated with deforestation and mitigate climate change the concept of integrating fodder trees in agricultural land, wasteland, community land and pastures is gaining momentum. Various agroforestry models are there suiting different needs. Livestock integration is possible only in certain models.Not Availabl