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Today's development environments in the manufacturing industry require different development tools to work together. These complex environments are highly heterogeneous and constantly changing, and the development tools are producing a huge amount of data. As a result, these development environments must overcome a significant problem related to data integration. In this paper, we examine a case study from the automotive industry using the linked enterprise data approach to integrate data from different development tools. The study explains and applies a data quality assessment methodology as a post-integration phase for linked enterprise data. In this study, important data quality dimensions from the literature are merged with empirical rules that have been defined by Scania CV AB employees. As a result, a comprehensive methodology is developed and introduced to assess these data quality dimensions. This paper presents the methodology, which aims to develop a data quality assessment tool-a dashboard-in addition to policies and protocols to manage data quality. Moreover, the proposed methodology includes systematic guidelines for planning the data quality assessment activity, extracting requirements for the data quality management, setting priorities to expedite the adaptation, identifying dimensions and metrics to ease the understanding, and visualizing these dimensions and metrics to assess the overall data quality.

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Abstract. Modern safety standards designed to ensure safety in embedded system products often take a descriptive approach, focusing on describing appropriate requirements on management, processes, methods and environments during development. While the qualification of software tools has been included in several such standards, how to handle the safety implications of tools integrated into tool chains has been largely ignored. This problem is aggravated by an increase both in automation of tool integration and the size of development environments.In this paper we define nine safety goals for tool chains and suggest a qualification method that takes a systems approach on certifying software tools as parts of tool chains. With this method, software tools are developed and pre-qualified under the assumption that certain properties will be supported by the development environment they are to be deployed in. The proposed method is intended to (1) achieve a stronger focus on the relevant parts of tool chains in regard to safety and (2) separate the extra effort these parts imply from the effort already stipulated by safety standards.

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