Component based software development (CBSD) has been established in the development of automotive real-time embedded applications at Bosch. CBSD together with software product line (SPL) practice has improved software reuse, productivity, quality and complexity management, by raising the level of abstraction for software constructions and by sharing services. Although CBSD has contributed to the aforementioned improvement in the software development practice, the existing Bosch component model often requires software developers to take a close look at the implementation including models (e.g., ASCET-MD ) and even complex source code to understand software behavior and dependencies when reusing and adapting software components. This hinders the realization of the full benefits of CBSD, as the available information on the component level does not sufficiently describe important aspects of software behavior. This paper presents the concepts and case studies of 'signal flows' and 'mode dependent signal flows', which provide crucial software behavior information for real time embedded systems at the component level.

When collecting and combining data from various sources into a data warehouse, ensuring high data quality and consistency becomes a significant, often expensive, challenge. Common data quality problems include inconsistent data conventions amongst sources such as different abbreviations or synonyms; data entry errors such as spelling mistakes; missing, incomplete, outdated or otherwise incorrect attribute values. These data defects generally manifest themselves as foreign-key mismatches and approximately duplicate records, both of which make further data mining and decision support analyses either impossible or suspect. We demonstrate two new data cleansing operators, Fuzzy Lookup and Fuzzy Grouping, which address these problems in a scalable and domain-independent manner. These operators are implemented within Microsoft SQL Server 2005 Integration Services. Our demo will explain their functionality and highlight multiple real-world scenarios in which they can be used to achieve high data quality.