The software is a key differentiator and driver of innovation in the automotive industry. The major challenges for software development are increasing in complexity, shorter time-to-market, increase in development cost and demand of quality assurance. The complexity is increasing due to emission legislations, variants of product and new communication technologies being interfaced with the vehicle. The shorter development time is due to competition in the market, which requires faster feedback loops of verification and validation of developed functionalities. The increase in development cost is contributed by two factors; the first is pre-launch cost, this involves the cost of error correction in development stages. Another is post-launch cost; this involves warranty and guarantees cost. As the development time passes the cost of error correction also increases. Hence it is important to detect the error as early as possible. All these factors affect the software quality; there are several cases where Original Equipment Manufacturer (OEM) have callbacks their product because of the quality defect. Hence, there is increased in the requirement of software quality assurance. The solution for these software challenges can be the early quality evaluation in continuous integration framework environment. The most prominent in today\'s automotive industry AUTomotive Open System ARchitecture (AUTOSAR) reference architecture is used to describe software component and interfaces. AUTOSAR provides the standardised software component architecture elements. It was created to address the issues of growing complexity; the existing AUTOSAR environment does have software quality measures, such as schema validations and protocols for acceptance tests. However, it lacks the quality specification for non-functional qualities such as maintainability, modularity, etc. The tool is required which will evaluate the AUTOSAR based software architecture and give the objective feedback regarding quality. This thesis aims to provide the quality measurement tool, which will be used for evaluation of AUTOSAR based software architecture. The tool reads the AUTOSAR architecture information from AUTOSAR Extensible Markup Language (ARXML) file. The tool provides configuration ability, continuous evaluation and objective feedback regarding software quality characteristics. The tool was utilised on transmission control project, and results are validated by industry experts.

The software is a key differentiator and driver of innovation in the automotive industry. The major challenges for software development are increasing in complexity, shorter time-to-market, increase in development cost and demand of quality assurance. The complexity is increasing due to emission legislations, variants of product and new communication technologies being interfaced with the vehicle. The shorter development time is due to competition in the market, which requires faster feedback loops of verification and validation of developed functionalities. The increase in development cost is contributed by two factors; the first is pre-launch cost, this involves the cost of error correction in development stages. Another is post-launch cost; this involves warranty and guarantees cost. As the development time passes the cost of error correction also increases. Hence it is important to detect the error as early as possible. All these factors affect the software quality; there are several cases where Original Equipment Manufacturer (OEM) have callbacks their product because of the quality defect. Hence, there is increased in the requirement of software quality assurance. The solution for these software challenges can be the early quality evaluation in continuous integration framework environment. The most prominent in today\'s automotive industry AUTomotive Open System ARchitecture (AUTOSAR) reference architecture is used to describe software component and interfaces. AUTOSAR provides the standardised software component architecture elements. It was created to address the issues of growing complexity; the existing AUTOSAR environment does have software quality measures, such as schema validations and protocols for acceptance tests. However, it lacks the quality specification for non-functional qualities such as maintainability, modularity, etc. The tool is required which will evaluate the AUTOSAR based software architecture and give the objective feedback regarding quality. This thesis aims to provide the quality measurement tool, which will be used for evaluation of AUTOSAR based software architecture. The tool reads the AUTOSAR architecture information from AUTOSAR Extensible Markup Language (ARXML) file. The tool provides configuration ability, continuous evaluation and objective feedback regarding software quality characteristics. The tool was utilised on transmission control project, and results are validated by industry experts.