By Christian Wagner
Today, trustworthy software program structures are the foundation of any company or corporation. the continual additional improvement of these platforms is the valuable part in software program evolution. It calls for a massive period of time- guy energy- in addition to monetary assets. The demanding situations are measurement, seniority and heterogeneity of these software program platforms. Christian Wagner addresses software program evolution: the inherent difficulties and uncertainties within the strategy. He offers a model-driven strategy which ends up in a synchronization among resource code and layout. therefore the version layer may be the vital half in additional evolution and resource code turns into a derivative. For the 1st time a model-driven approach for upkeep and migration of software program platforms is defined. The method consists of a model-driven reengineering and a model-driven migration section. the applying and effectiveness of the technique are proven with a reference implementation utilized to 4 exemplary systems.
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Extra resources for Model-Driven Software Migration: A Methodology: Reengineering, Recovery and Modernization of Legacy Systems
Example text
They must be integrated into the reengineering process. 1 Definitions of Software Reengineering The term reengineering includes various concepts and methods. The definition of the term itself is more specific, in comparison to software maintenance. Numerous publications use the reengineering taxonomy of Chikofsky and Cross [CC90] from 1990. The authors define reengineering as: “... ” The definition describes three steps of the software reengineering process. In a first step, relevant information from the system must be extracted (reverse engineering).
They have to deal with legacy systems and to incorporate them. This emphasizes the need to focus on the operation/maintenance phase. The Maintenance Crisis Rising costs especially have led some authors to speak of an impending maintenance or legacy crisis [SPL03, p. 6] – based on the concept of software crisis15 , which was introduced in 1968 for the first time. The authors assume that a large amount of resources are necessary for maintenance and lesser resources are available for new developments.
DDN09]. After a closer examination of the last major section in the software life cycle it has to be summarized that the maintenance of software (except for preventive maintenance) ultimately leads to an increase of inner complexity 26 2 Fundamentals and therefore to a deterioration of the quality parameters. This change is often named as design drift. This will be accepted until the maintenance costs are too high or new requirements can not be met. 5). From the perspective of this book, software maintenance is the modification of an existing software system.