Effort Estimation for Service-Oriented Computing Environments

The concept of service in Service-Oriented Architecture (SOA) makes possible to introduce other ideas like service composition, governance and virtualization. Each of these ideas, when exercised to an enterprise level, provides benefits in terms of cost and performance. These ideas bring many new opportunities for the project managers in making the estimates of effort required to produce SOA systems. This is because the SOA systems are different from traditional software projects and there is a lack of efficient metrics and models for providing a high level of confidence in effort estimation. Thus, in this paper, an efficient estimation methodology has been presented based on analyzing the development phases of past SOA based software systems. The objective of this paper is twofold: first, to study and analyze the development phases of some past SOA based systems; second, to propose estimation metrics based on these analyzed parameters. The proposed methodology is facilitated from the use of four regression(s) based estimation models. The validation of the proposed methodology is cross checked by comparing the predictive accuracy, using some commonly used performance measurement indicators and box-plots evaluation. The evaluation results of the study (using industrial data collected from 10 SOA based software systems) show that the effort estimates obtained using the multiple linear regression model are more accurate and indicate an improvement in performance than the other used regression models

Integration Efforts Estimation in Service Oriented Architecture (SOA) Applications

Service Oriented Architecture (SOA) is an emerging area of software engineering, based on the concept of re-usable services to support the development of rapid, economical and stable distributed application even in heterogeneous environments. Function point is considered an accurate and well established approach among its competitors to estimate the efforts, size and functionality of software development projects. Estimating the cost, size and efforts for SOA application is a difficult task due to its diverse nature and loose coupling behavior, which results in an inaccurate estimate to measure the efforts, size and functionality of SOA applications. This research paper highlights the integration efforts estimation using a work flow model, to accurately estimate the efforts and cost needed for SOA application. Keywords: Service Oriented Architecture (SOA), Integration Efforts, Efforts Estimation, Function Point Analysis

Factors Affecting Success in Migration of Legacy Systems to Service-Oriented Architecture (SOA) - Shared Experiences from Five Case Companies

Background: The term ‘legacy systems’ refers to existing Information Systems that have been deployed in the past and have been running critical business processes within an enterprise in its current IT architecture. Based on their important role, legacy systems are considered the heart of a company’s operating enterprise system and therefore are of significant business value to the company. Therefore IT architects have not neglected the value these existing assets can bring to the adoption of service-oriented architecture and have been studying different methods and factors to migrate the legacy investments into the new architecture and take advantage of their business value. However, not in all cases has the process of migrating legacy systems into SOA been successful. In fact, the level of success in adapting the legacy systems in a company with the new service-oriented architecture is dependant on some factors which vary from one legacy infrastructure and series of business processes to another. There is no quick fix to transforming the existing legacy assets which highlights the fact that considering the right factors to reach legacy system migration success in a specific company is of key value. Therefore, we hereby studied the factors influencing success of migrating these legacy investments into SOA in five different companies which include a Large European Bank, SAS, a Large globally-known Company in Sweden, Sandvik AB and a large UK Bank. Purpose: To identify factors affecting successful migration of legacy systems into SOA in five companies. Method: The main adopted research method in this study has been interviews for different case studies. Through separate interviews, critical success factors of migrating legacy systems into SOA have been collected and identified in each case. Finally collected results are analyzed and presented as the recognized factors affecting successful migration of legacy assets into SOA in five different enterprises with their own Information System infrastructures. Conclusion: The success factors identified include potential of legacy systems for being migrated, strategy of migration, SOA governance, the business process of the company, budgeting and resources, legacy architecture, close monitoring, dependence on commercial products, information architecture, testing and technical skills of the personnel. Out of all these factors, only three factors have been applied and mentioned by all the case companies in this study, which are the potential of legacy systems for being migrated into SOA, strategy of migration and SOA Governance

Service Orientation and the Smart Grid state and trends

The energy market is undergoing major changes, the most notable of which is the transition from a hierarchical closed system toward a more open one highly based on a “smart” information-rich infrastructure. This transition calls for new information and communication technologies infrastructures and standards to support it. In this paper, we review the current state of affairs and the actual technologies with respect to such transition. Additionally, we highlight the contact points between the needs of the future grid and the advantages brought by service-oriented architectures.