A Case Study for Business Integration as a Service

This paper presents Business Integration as a Service (BIaaS) to allow two services to work together in the Cloud to achieve a streamline process. We illustrate this integration using two services; Return on Investment (ROI) Measurement as a Service (RMaaS) and Risk Analysis as a Service (RAaaS) in the case study at the University of Southampton. The case study demonstrates the cost-savings and the risk analysis achieved, so two services can work as a single service. Advanced techniques are used to demonstrate statistical services and 3D Visualisation services under the remit of RMaaS and Monte Carlo Simulation as a Service behind the design of RAaaS. Computational results are presented with their implications discussed. Different types of risks associated with Cloud adoption can be calculated easily, rapidly and accurately with the use of BIaaS. This case study confirms the benefits of BIaaS adoption, including cost reduction and improvements in efficiency and risk analysis. Implementation of BIaaS in other organisations is also discussed. Important data arising from the integration of RMaaS and RAaaS are useful for management and stakeholders of University of Southampton

Analysis of requirements volatility during software development life cycle

Investigating the factors that drive requirements change is an important prerequisite for understanding the nature of requirements volatility. This increased understanding will improve the process of requirements change management. This paper mainly focuses on change analysis to identify and characterize the causes of requirements volatility. We apply a causal analysis method on change request data to develop a taxonomy of change. This taxonomy allows us to identify and trace the problems, reasons and sources of changes. Adopting an industrial case study approach, our findings reveal that the main causes of requirements volatility were changes in customer needs (or market demands), developers' increased understanding of the products, and changes in the organization policy. During the development process, we also examined the extent of requirements volatility and discovered that the rate of volatility was high at the time of requirements specification completion and while functional specification reviews were conducted

Improving project management planning and control in service operations environment.

Projects have evidently become the core activity in most companies and organisations where they are investing significant amount of resources in different types of projects as building new services, process improvement, etc. This research has focused on service sector in attempt to improve project management planning and control activities. The research is concerned with improving the planning and control of software development projects. Existing software development models are analysed and their best practices identified and these have been used to build the proposed model in this research. The research extended the existing planning and control approaches by considering uncertainty in customer requirements, resource flexibility and risks level variability. In considering these issues, the research has adopted lean principles for planning and control software development projects. A novel approach introduced within this research through the integration of simulation modelling techniques with Taguchi analysis to investigate ‗what if‘ project scenarios. Such scenarios reflect the different combinations of the factors affecting project completion time and deliverables. In addition, the research has adopted the concept of Quality Function Deployment (QFD) to develop an automated Operations Project Management Deployment (OPMD) model. The model acts as an iterative manner uses ‗what if‘ scenario performance outputs to identify constraints that may affect the completion of a certain task or phase. Any changes made during the project phases will then automatically update the performance metrics for each software development phases. In addition, optimisation routines have been developed that can be used to provide management response and to react to the different levels of uncertainty. Therefore, this research has looked at providing a comprehensive and visual overview of important project tasks i.e. progress, scheduled work, different resources, deliverables and completion that will make it easier for project members to communicate with each other to reach consensus on goals, status and required changes. Risk is important aspect that has been included in the model as well to avoid failure. The research emphasised on customer involvement, top management involvement as well as team members to be among the operational factors that escalate variability levels 3 and effect project completion time and deliverables. Therefore, commitment from everyone can improve chances of success. Although the role of different project management techniques to implement projects successfully has been widely established in areas such as the planning and control of time, cost and quality; still, the distinction between the project and project management is less than precise and a little was done in investigating different levels of uncertainty and risk levels that may occur during different project phase.United Arab Emirates Governmen

Stress Tests of Capital Requirements

This paper examines the performance of the leading methods for setting capital requirements for securities firms' trading books. Tests are conducted on a large sample of UK equity market makers' books over a substantial number of periods of equity market stress from 1985 to 1995. The comprehensive and building-block approaches, favoured by US and European regulators, fail to provide effective cover. Only portfolio-based, value-at-risk type models are efficient in providing appropriate levels of capital to cover the position risk of equity trading books. This paper was presented at the Financial Institutions Center's October 1996 conference on "

A Study of the Impact of Requirements Volatility on Software Project Performance

Software development is considered to be a dynamic process where demands for changes seem to be inevitable. Modifications to software are prompted by all kinds of changes including changes to the requirements. This type of changes gives rise to an intrinsic volatility, which has several impacts on the software development lifecycle. This paper describes our findings of an extensive survey based empirical study of requirement volatility (RV) and its impact on software project performance. In particular, findings reveal that requirement volatility has a significant impact on schedule overrun and cost overrun in software projects. Our investigation also examined factors that contribute to the extent of requirement volatility and found that variables such as frequent communications between users and developers and usage of a definable methodology in requirements analysis and modeling have impact on the stability of requirements

Enhancing the employability of fashion students through the use of 3D CAD

The textile and apparel industry has one of the longest and most intricate supply chains within manufacturing. Advancement in technology has facilitated its globalisation, enabling companies to span geographical borders. This has led to new methods of communication using electronic data formats. Throughout the latter part of the 20th Century, 2D CAD technology established itself as an invaluable tool within design and product development. More recently 3D virtual simulation software has made small but significant steps within this market. The technological revolution has opened significant opportunities for those forward thinking companies that are beginning to utilise 3D software. This advanced technology requires designers with unique skill sets. This paper investigates the skills required by fashion graduates from an industry perspective. To reflect current industrial working practices, it is essential for educational establishments to incorporate technologies that will enhance the employability of graduates. This study developed an adapted action research model based on the work of Kurt Lewin, which reviewed the learning and teaching of 3D CAD within higher education. It encompassed the selection of 3D CAD software development, analysis of industry requirements, and the implementation of 3D CAD into the learning and teaching of a selection of fashion students over a three year period. Six interviews were undertaken with industrial design and product development specialists to determine: current working practices, opinions of virtual 3D software and graduate skill requirements. It was found that the companies had similar working practices independent of the software utilised within their product development process. The companies which employed 3D CAD software considered further developments were required before the technology could be fully integrated. Further to this it was concluded that it was beneficial for graduates to be furnished with knowledge of emerging technologies which reflect industry and enhance their employability skills

Business Integration as a Service

This paper presents Business Integration as a Service (BIaS) which enables connections between services operating in the Cloud. BIaS integrates different services and business activities to achieve a streamline process. We illustrate this integration using two services; Return on Investment (ROI) Measurement as a Service (RMaaS) and Risk Analysis as a Service (RAaaS) in two case studies at the University of Southampton and Vodafone/Apple. The University of Southampton case study demonstrates the cost-savings and the risk analysis achieved, so two services can work as a single service. The Vodafone/Apple case study illustrates statistical analysis and 3D Visualisation of expected revenue and associated risk. These two cases confirm the benefits of BIaS adoption, including cost reduction and improvements in efficiency and risk analysis. Implementation of BIaS in other organisations is also discussed. Important data arising from the integration of RMaaS and RAaaS are useful for management of University of Southampton and potential and current investors for Vodafone/Apple

Optimisation of electricity energy markets and assessment of CO2 trading on their structure : a stochastic analysis of the greek power sector

Power production was traditionally dominated by monopolies. After a long period of research and organisational advances in international level, electricity markets have been deregulated allowing customers to choose their provider and new producers to compete the former Public Power Companies. Vast changes have been made in the European legal framework but still, the experience gathered is not sufficient to derive safe conclusions regarding the efficiency and reliability of deregulation. Furthermore, emissions' trading progressively becomes a reality in many respects, compliance with Kyoto protocol's targets is a necessity, and stability of the national grid's operation is a constraint of vital importance. Consequently, the production of electricity should not rely solely in conventional energy sources neither in renewable ones but on a mixed structure. Finding this optimal mix is the primary objective of the study. A computational tool has been created, that simulates and optimises the future electricity generation structure based on existing as well as on emerging technologies. The results focus on the Greek Power Sector and indicate a gradual decreasing of anticipated CO2 emissions while the socioeconomic constraints and reliability requirements of the system are met. Policy interventions are pointed out based on the numerical results of the model. (C) 2010 Elsevier Ltd. All rights reserved

A Real Options Perspective On R&D Portfolio Diversification

This paper shows that the conditionality of investment decisions in R&D has a critical impact on portfolio risk, and implies that traditional diversification strategies should be reevaluated when a portfolio is constructed. Real option theory argues that research projects have conditional or option-like risk and return properties, and are different from unconditional projects. Although the risk of a portfolio always depends on the correlation between projects, a portfolio of conditional R&D projects with real option characteristics has a fundamentally different risk than a portfolio of unconditional projects. When conditional R&D projects are negatively correlated, diversification only slightly reduces portfolio risk. When projects are positively correlated, however, diversification proves more effective than conventional tools predict.real options;portfolio analysis;research & development