Title | A heuristics-based approach to reverse engineering of electronic services |
Publication Type | Journal Article |
Year of Publication | 2009 |
Authors | Vassilakis C, Lepouras G, Katifori A |
Journal | Information and Software Technology |
Volume | 51 |
Pagination | 325-336 |
Keywords | Analysis and designs, Domain experts, e-government, electronic services, Government data processing, Help texts, In services, Knowledge engineering, Knowledge sharing, Levels of abstractions, Management, New services, Organizational knowledge, Organizational processes, Public administrations, Reengineering, Reverse engineering, Reverse engineering processes, Service developments, Validation checks |
Abstract | Since the beginning of the electronic era, public administrations and enterprises have been developing services, through which citizens, businesses and customers can conduct their transactions with the offering entity. Each electronic service contains a substantial amount of knowledge in the form help texts, rules of use or legislation excerpts, examples, validation checks, etc. This knowledge has been extracted from domain experts when the services were developed, especially in the phases of analysis and design, and was subsequently translated into software. In the latter format though, knowledge cannot be readily used in organizational processes, such as knowledge sharing and development of new services. In this paper, we present an approach for reverse engineering electronic services in order to create knowledge items of high levels of abstraction, which can be used in knowledge sharing environments as well as in service development platforms. The proposed approach has been implemented and configured to generate artifacts for the SmartGov service development platform. Finally, an evaluation of the proposed approach is presented to assess its efficiency regarding various aspects of the reverse engineering process. Β© 2008 Elsevier B.V. All rights reserved. |
URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-56949100815&partnerID=40&md5=223ff82eddd9005b8e6f7fac1aa9c810 |
DOI | 10.1016/j.infsof.2008.04.003 |