Managing software evolution through midleware and policy-based software adaptation framework

Software evolution is a process that is needed in order for software to remain useful. Thus, software evolution should be properly planned and controlled to prevent its negative impact from affecting any organization. Software adaptation concept is one of the promising ways to control software evolution. In this approach, software is made adaptable to minimize the impact of change. A lot of researches on software adaptation focus on adaptability of mobile based and network application due to its context sensitivity and quality-of-service requirements. However, there is still lack of work in enterprise system domain with multiple delivery channels, which focus on adaptability of its context environment such as the changes introduced to its devices. Hence, the purpose of this research is to develop a middleware and policy-based, adaptation framework to manage negative effects of software evolution in an enterprise system. The main research focus is on the changes introduced at the device layer. The concept of policy is used to specify adaptations requirements. This research provides a framework called Middleware and Policy-Based Framework to Manage Software Evolution (MiPAF), which can be used to develop adaptive software, allowing parameterized and compositional adaptation. Furthermore, the framework can be used by client-server and web-based application. A policy language called MiPAF Policy Language (MPL) is created to be used with the framework. MiPAF is formally specified using Z Notation and the policy language is described using pseudo code. A tool is provided to assist developers in creating the policy. For evaluation of the framework, a set of runtime components were developed and implemented for Unit Trust System (UTS) Front-end and web-based UTS, two industrial-based case studies. The evaluation result shows that MiPAF excellently fulfil all the evaluation criteria described in this thesis

A theory and model for the evolution of software services

Software services are subject to constant change and variation. To control service development, a service developer needs to know why a change was made, what are its implications and whether the change is complete. Typically, service clients do not perceive the upgraded service immediately. As a consequence, service-based applications may fail on the service client side due to changes carried out during a provider service upgrade. In order to manage changes in a meaningful and effective manner service clients must therefore be considered when service changes are introduced at the service provider's side. Otherwise such changes will most certainly result in severe application disruption. Eliminating spurious results and inconsistencies that may occur due to uncontrolled changes is therefore a necessary condition for the ability of services to evolve gracefully, ensure service stability, and handle variability in their behavior. Towards this goal, this work presents a model and a theoretical framework for the compatible evolution of services based on well-founded theories and techniques from a number of disparate fields.

A theory and model for the evolution of software services.

Software services are subject to constant change and variation. To control service development, a service developer needs to know why a change was made, what are its implications and whether the change is complete. Typically, service clients do not perceive the upgraded service immediately. As a consequence, service-based applications may fail on the service client side due to changes carried out during a provider service upgrade. In order to manage changes in a meaningful and effective manner service clients must therefore be considered when service changes are introduced at the service provider's side. Otherwise such changes will most certainly result in severe application disruption. Eliminating spurious results and inconsistencies that may occur due to uncontrolled changes is therefore a necessary condition for the ability of services to evolve gracefully, ensure service stability, and handle variability in their behavior. Towards this goal, this work presents a model and a theoretical framework for the compatible evolution of services based on well-founded theories and techniques from a number of disparate fields.

A comprehensive evaluation framework for system modernization : a case study using data services

Modernization is a solution to migrate cumbersome existing systems to a new architecture for improved longevity of business processes. Three modernization approaches exist. White-box and black-box modernization are distinct from one another. Grey-box modernization is a hybrid of the white-box and black-box approaches. Modernization can be utilised to create data services for a Service Oriented Architecture. Since it is unclear which modernization approach is more suitable for the development of data services, a comprehensive evaluation framework is proposed to evaluate which of the white- or black-box approaches is more suitable. The comprehensive framework consists of three evaluation components. Firstly, developer effort to modernize existing code is measured by acknowledged software metrics. Secondly, the quality of the data services is measured against identified Quality of Service criteria for data services in particular. Thirdly, the effectiveness of the modernized data services is measured through usability evaluations. By inspection of the combination of application of each of the evaluation components, a recommended approach is identified for the modernization of data services. The comprehensive framework was successfully employed to compare the white-box and black-box modernization approaches applied to a case study. Results indicated that had only a single evaluation component been used, inconclusive results of the more suitable approach may have been obtained. The findings of this research contribute a comprehensive evaluation framework which can be applied to compare modernization approaches and measure modernization success

A comprehensive evaluation framework for system modernization : a case study using data services

Modernization is a solution to migrate cumbersome existing systems to a new architecture for improved longevity of business processes. Three modernization approaches exist. White-box and black-box modernization are distinct from one another. Grey-box modernization is a hybrid of the white-box and black-box approaches. Modernization can be utilised to create data services for a Service Oriented Architecture. Since it is unclear which modernization approach is more suitable for the development of data services, a comprehensive evaluation framework is proposed to evaluate which of the white- or black-box approaches is more suitable. The comprehensive framework consists of three evaluation components. Firstly, developer effort to modernize existing code is measured by acknowledged software metrics. Secondly, the quality of the data services is measured against identified Quality of Service criteria for data services in particular. Thirdly, the effectiveness of the modernized data services is measured through usability evaluations. By inspection of the combination of application of each of the evaluation components, a recommended approach is identified for the modernization of data services. The comprehensive framework was successfully employed to compare the white-box and black-box modernization approaches applied to a case study. Results indicated that had only a single evaluation component been used, inconclusive results of the more suitable approach may have been obtained. The findings of this research contribute a comprehensive evaluation framework which can be applied to compare modernization approaches and measure modernization success