Existing research in legacy system modernization has traditionally focused on technical challenges, and takes the standpoint that legacy systems are obsolete, yet crucial for an organization's operation. Nonetheless, it remains unclear whether practitioners in the industry also share this perception. This paper describes the outcome of an exploratory study in which 26 industrial practitioners were interviewed on what makes a software system a legacy system, what the main drivers are that lead to the modernization of such systems, and what challenges are faced during the modernization process. The findings of the interviews have been validated by means of a survey with 198 respondents. The results show that practitioners value their legacy systems highly, the challenges they face are not just technical, but also include business and organizational aspects.
Legacy systems are vitally important for the continuation of business in an enterprise as they support complex core business processes. However, legacy systems have several well-known disadvantages such as being inflexible and hard to maintain, so momentum is growing to evolve those systems into new technology environments. Recently, service-oriented architecture has emerged as a promising architectural style that enables existing legacy systems to expose their functionality as services, without making significant changes to the legacy systems themselves. A significant number of the legacy to service migration approaches address the technical perspective (i.e., supporting technology) to expose the legacy code as services. The other approaches focus on determining the feasibility of the migration that includes economical and technical feasibility, based on the characteristics of existing legacy system and the requirements of the target SOA system. In this paper, a legacy to SOA migration method that does not single out the migration feasibility and technical perspectives, but combines these two perspectives of migration, is proposed. Method engineering is used to develop the migration method by reusing method fragments from existing service-oriented development methods. Then, concept slicing is used to develop the service by extracting the relevant parts of the legacy code. The method is evaluated and enhanced by interviewing experts and further validated with two case studies. The method is found to be appropriate and effective in extracting services from legacy code with the aim of reusing these services in new configurations.
In the last decade, there have been significant developments in legacy to SOA evolution, and that has resulted in a large research body of which there exists no comprehensive overview. This chapter provides a historic overview, focusing on the methods and techniques used in legacy to SOA evolution. The authors conducted a systematic literature review to collect legacy to SOA evolution approaches reported from 2000 to August 2011. To this end, 121 primary studies were found and evaluated using an evaluation framework, which was developed from three evolution and modernization methods widely used in the software re-engineering domain. The evaluation constitutes the inventory of current research approaches and methods and techniques used in legacy to SOA evolution. The result of the SLR also identifies current research issues in legacy to SOA evolution and provides future research directions to address those research issues.
This paper presents the findings of a case study of a large scale legacy to service-oriented architecture migration process in the payments domain of a Dutch bank. The paper presents the business drivers that initiated the migration, and describes a 4-phase migration process. For each phase, the paper details benefits of using the techniques, best practices that contribute to the success, and possible challenges that are faced during migration. Based on these observations, the findings are discussed as lessons learned, including the implications of using reverse engineering techniques to facilitate the migration process, adopting a pragmatic migration realization approach, emphasizing the organizational and business perspectives, and harvesting knowledge of the system throughout the system's life cycle.
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