Two years ago, we analyzed the architecture of Sagitta 2000/SD, a large business information system being developed on behalf of Dutch Customs. We were in particular interested in assessing the capabilities of the system to accommodate future complex changes. We asked stakeholders to bring forward possible changes to the system, and next investigated how these changes would affect the software architecture. Since then, the system has been implemented and used, and actual modifications have been proposed and realized. We studied all 117 change requests submitted since our initial analysis. The present paper addresses how well we have been able to predict complex changes during our initial analysis, and how and to what extent the process to elicit and assess the impact of such changes might be improved. This study suggests that architecture analysis can be improved if we explicitly challenge the initial requirements. The study also hints at some fundamental limitations of this type of analysis:(1) fundamental modifiability-related decisions need not be visible in the documentation available, (2) the actual evolution of a system remains, to a large extent, unpredictable and (3) some changes concern complex components, and this complexity might not be known at the architecture level, and/or be unavoidable.
Abstract. Methods for specific tasks can among others be identified in conceptual modeling of information systems and requirements engineering in software development. Such methods dictate a specific way of working by describing necessary knowledge intensive tasks to fulfill while applying the method. An actor may experience difficulties when trying to fulfill tasks as part of a method application, related to the cognitive abilities required to fulfill a certain task versus the specific cognitive abilities possessed by the actor. This paper specifically focusses on the cognitive abilities required to fulfill a knowledge intensive task while applying a method for specific tasks. This is based on a categorization and characterization of knowledge intensive tasks and on scenarios in conceptual modeling of information systems and requirements engineering.
Software architecture analysis helps us assess the quality of a software system at an early stage. In this paper we describe a case study of software architecture analysis that we have performed to assess the flexibility of a large administrative system. Our analysis was based on scenarios, representing possible changes to the requirements of the system and its environment. Assessing the effect of these scenarios provides insight into the flexibility of the system. One of the problems is to express the effect of a scenario in such a way that it provides insight into the complexity of the necessary changes. Part of our research is directed at developing an instrument for doing just that. This instrument is applied in the analysis described in this paper.
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