25,226 research outputs found

    Rationale Management Challenges in Requirements Engineering

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    Rationale and rationale management have been playing an increasingly prominent role in software system development mainly due to the knowledge demand during system evaluation, maintenance, and evolution, especially for large and complex systems. The rationale management for requirements engineering, as a commencing and critical phase in software development life cycle, is still under-exploited. In this paper, we first survey briefly the state-of-the-art on rationale employment and applications in requirements engineering. Secondly, we identify the challenges in integrating rationale management in requirements engineering activities in order to promote further investigations and define a research agenda on rationale management in requirements engineering.

    Building Reusable Software Component For Optimization Check in ABAP Coding

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    Software component reuse is the software engineering practice of developing new software products from existing components. A reuse library or component reuse repository organizes stores and manages reusable components. This paper describes how a reusable component is created, how it reuses the function and checking if optimized code is being used in building programs and applications. Finally providing coding guidelines, standards and best practices used for creating reusable components and guidelines and best practices for making configurable and easy to use.Comment: 9 pages, 6 figure

    An ‘on-demand’ Data Communication Architecture for Supplying Multiple Applications from a Single Data Source: An Industrial Application Case Study

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    A key aspect of automation is the manipulation of feedback sensor data for the automated control of particular process actuators. Often in practice this data can be reused for other applications, such as the live update of a graphical user interface, a fault detection application or a business intelligence process performance engine in real-time. In order for this data to be reused effectively, appropriate data communication architecture must be utilised to provide such functionality. This architecture must accommodate the dependencies of the system and sustain the required data transmission speed to ensure stability and data integrity. Such an architecture is presented in this paper, which shows how the data needs of multiple applications are satisfied from a single source of data. It shows how the flexibility of this architecture enables the integration of additional data sources as the data dependencies grow. This research is based on the development of a fully integrated automation system for the test of fuel controls used on civil transport aircraft engines

    Overview of methodologies for building ontologies

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    A few research groups are now proposing a series of steps and methodologies for developing ontologies. However, mainly due to the fact that Ontological Engineering is still a relatively immature discipline, each work group employs its own methodology. Our goal is to present the most representative methodologies used in ontology development and to perform an analysis of such methodologies against the same framework of reference. So, the goal of this paper is not to provide new insights about methodologies, but to put it all in one place and help people to select which methodology to use

    Some Issues on Ontology Integration

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    The word integration has been used with different meanings in the ontology field. This article aims at clarifying the meaning of the word “integration” and presenting some of the relevant work done in integration. We identify three meanings of ontology “integration”: when building a new ontology reusing (by assembling, extending, specializing or adapting) other ontologies already available; when building an ontology by merging several ontologies into a single one that unifies all of them; when building an application using one or more ontologies. We discuss the different meanings of “integration”, identify the main characteristics of the three different processes and proposethree words to distinguish among those meanings:integration, merge and use
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