Fatemeh Nikpay

A systematic literature review on Enterprise Architecture Implementation Methodologies

ContextEnterprise Architecture (EA) is a strategy to align business and Information Technology (IT) within an enterprise. EA is managed, developed, and maintained throughout the EA Implementation Methodology (EAIM). ObjectiveThe aims of this study are to identify the existing effective practices that are used by existing EAIMs, identify the factors that affect the effectiveness of EAIM, identify the current tools that are used by existing EAIMs, and identify the open problems and areas related to EAIM for improvement. MethodA Systematic Literature Review (SLR) was carried out. 669 papers were retrieved by a manual search in 6 databases and 46 primary studies were finally included. ResultFrom these studies 33% were journal articles, 41% were conference papers while 26% were contributions from the studies consisted of book chapters. Consequently, 28 practices, 19 factors, and 15 tools were identified and analysed. ConclusionSeveral rigorous researches have been done in order to provide effective EAIM, however there are still problems in components of EAIM, including: there is lack of tool support for whole part of EA implementation, there are deficiency in addressing the EAIMs practices especially in modeling, management, and maintenance, there is lack of consideration on non-functional requirement in existing EAIM, there is no appropriate consideration on requirement analysis in most existing EAIM. This review provides researchers with some guidelines for future research on this topic. It also provides broad information on EAIM, which could be useful for practitioners.

Current Issues on Enterprise Architecture Implementation Methodology

Enterprise Architecture (EA) becomes a strategy plan for enterprises to align their business and Information Technology (IT). EA is developed, managed, and maintained through EA implementation methodology (EAIM) processes. There are some problems in current EAIMs that lead to ineffectiveness implementation of EA. This paper represents current issues on EAIM. In this regard, we set the framework in order to represent EAIM’s issues based on the processes of EAIM including: modeling, developing, and maintaining. The results of this research not only increase the knowledge of EAIM, but also could be useful for both scientific and practitioner in order to realize the current situation of EAIMs.

Agent-Oriented Based Enterprise Architecture Implementation Methodology

Enterprise Architecture (EA) is managed, developed, and maintained by Enterprise Architecture Implementation Methodology (EAIM). There is ineffectiveness in existing EAIMs due to the complexities; these complexities come from EAIM’s processes, models, methods, and strategy. Consequently, EA projects may be faced with lack of support in the following parts of EA: requirement analysis, governance and evaluation, a guideline for implementation, and continual improvement of EA implementation. This research aims to represent an Agent-Oriented based EAIM. The proposed EAIM was evaluated by means of a case study. The results show that proposed EAIM could directly affect the effectiveness of EA implementation in following items: reducing the mismatch between business and IT, defining reachable goals for enterprise, employing easy implementation practices and easy learning procedure, using efficient documentation, applying appropriate communication among project team member, providing an effective environment for alignment of business and IT, and using effective plan for governance and migration plan. This research extends the application of Agent Technology, which provides new area of research for academics and provides effective EAIM, which can be employed by practitioners in EA project.

An Empirical Analysis of a Testability Model

Testability modeling has been performed for many years. Unfortunately, the modeling of a design for testability is often performed after the design is complete. This limits the functional use of the testability model to determining what level of test coverage is available in the design. This information may be useful to help assess whether a product meets a requirement to achieve a desired level of test coverage, but has little pro-active effect on making the design more testable. This paper investigates and presents a number of approaches for tackling this problem. Approaches are surveyed, achievements and main issues of each approach are considered. Investigation of that classification will help researchers who are working on model testability to deliver more applicable solutions.

An Empirical Study into Model Testability

Testability modeling has been performed for many years. Unfortunately, the modeling of a design for testability is often performed after the design is complete. This limits the functional use of the testability model to determining what level of test coverage is available in the design. This information may be useful to help assess whether a product meets a requirement to achieve a desired level of test coverage, but has little pro-active effect on making the design more testable. This paper investigates and presents a number of approaches for tackling this problem. Approaches are surveyed, achievements and main issues of each approach are considered. Investigation of that classification will help researchers who are working on model testability to deliver more applicable solutions.