<p>This thesis presents new techniques for data management of run-time data objectsin component-based embedded real-time systems. These techniques enabledata to be modeled, analyzed and structured to achieve data managementduring development, maintenance and execution.The evolution of real-time embedded systems has resulted in an increasedsystem complexity beyond what was thought possible just a few years ago.Over the years, new techniques and tools have been developed to manage softwareand communication complexity. However, as this thesis show, currenttechniques and tools for data management are not sufficient. Today, developmentof real-time embedded systems focuses on the function aspects of thesystem, in most cases disregarding data management.The lack of proper design-time data management often results in ineffectivedocumentation routines and poor overall system knowledge. Contemporarytechniques to manage run-time data do not satisfy demands on flexibility,maintainability and extensibility. Based on an industrial case-study that identifiesa number of problems within current data management techniques, bothduring design-time and run-time, it is clear that data management needs to beincorporated as an integral part of the development of the entire system architecture.As a remedy to the identified problems, we propose a design-time data entityapproach, where the importance of data in the system is elevated to beincluded in the entire design phase with proper documentation, properties, dependenciesand analysis methods to increase the overall system knowledge.Furthermore, to efficiently manage data during run-time, we introduce databaseproxies to enable the fusion between two existing techniques; ComponentBased Software Engineering (CBSE) and Real-Time Database ManagementSystems (RTDBMS). A database proxy allows components to be decoupledfrom the underlying data management strategy without violating the componentencapsulation and communication interface.</p> / INCENSE

This thesis presents new techniques for data management of run-time data objectsin component-based embedded real-time systems. These techniques enabledata to be modeled, analyzed and structured to achieve data managementduring development, maintenance and execution.The evolution of real-time embedded systems has resulted in an increasedsystem complexity beyond what was thought possible just a few years ago.Over the years, new techniques and tools have been developed to manage softwareand communication complexity. However, as this thesis show, currenttechniques and tools for data management are not sufficient. Today, developmentof real-time embedded systems focuses on the function aspects of thesystem, in most cases disregarding data management.The lack of proper design-time data management often results in ineffectivedocumentation routines and poor overall system knowledge. Contemporarytechniques to manage run-time data do not satisfy demands on flexibility,maintainability and extensibility. Based on an industrial case-study that identifiesa number of problems within current data management techniques, bothduring design-time and run-time, it is clear that data management needs to beincorporated as an integral part of the development of the entire system architecture.As a remedy to the identified problems, we propose a design-time data entityapproach, where the importance of data in the system is elevated to beincluded in the entire design phase with proper documentation, properties, dependenciesand analysis methods to increase the overall system knowledge.Furthermore, to efficiently manage data during run-time, we introduce databaseproxies to enable the fusion between two existing techniques; ComponentBased Software Engineering (CBSE) and Real-Time Database ManagementSystems (RTDBMS). A database proxy allows components to be decoupledfrom the underlying data management strategy without violating the componentencapsulation and communication interface. / INCENSE

Several decades ago, computer control systems known as Electric Control Units (ECUs) were introduced to the automotive industry. Mechanical hardware units have since then increasingly been replaced by computer controlled systems to manage complex tasks such as airbag, ABS, cruise control and so forth. This has lead to a massive increase of software functions and data which all needs to be managed. There are several tools and techniques for this, however, current tools and techniques for developing real-time embedded system are mostly focusing on software functions, not data. Those tools do not fully support developers to manage run-time data at design time. Furthermore, current tools do not focus on visualization of relationship among data items in the system. This thesis is a part of previous work named the Data Entity approach which prioritizes data management at the top level of development life cycle. Our main contribution is a tool that introduces a new way to intuitively explore run-time data items, which are produced and consumed by software components, utilized in the entire system. As a consequence, developers will achieve a better understanding of utilization of data items in the software system. This approach enables developers and system architects to avoid redundant data as well as finding and removing stale data from the system. The tool also allows us to analyze conflicts regarding run-time data items that might occur between software components at design time. / A Data-Entity Approach for Component-Based Real-Time Embedded Systems Development