Context: Software testing is a crucial area in software development. It has been found that there is little evidence on how testing is performed in software automotive domain. Challenges in this domain have not yet been fully evaluated. Furthermore, interactions between test procedures, and other activities of software development are left unexposed. Assessment of test process is an important part of improvement initiatives. Objectives: In this study we perform an in-depth investigation to identify challenges which lead to wastes in test process in the context of automotive software domain. To this end, we also identified strengths that add value in test process. Methods: We performed a Case study at a Sweden based large automotive organization. To this end, we conducted semi-structured interviews and used Grounded Theory method for interview data analysis. We used Value Stream Mapping (VSM), a Lean methodology tool for test process assessment. Furthermore, we conducted Systematic Literature Reviews to look for evidence of similar problems and solutions offered in peer-reviewed literature. Results: We grouped the identified challenges and strengths into 10 and 4 categories respectively. We also identified 7 kinds of waste and 4 kinds of values based using VSM. Based on systematic literature reviews, we proposed 7 solution proposals, an agile process model with practices. Conclusions: We conclude that VSM is an efficient tool in eliciting improvement potentials in software testing context using qualitative data. In regard to solution proposals, we propose further empirical work to evaluate the solution proposals themselves and tailor to company needs. However, the results obtained through this study can be compared to test processes at other companies in automotive domain. / kasoju.abhinaya@gmail.com

<p>Since the incorporation of electronic controls into automobiles in the 1970s, the complexity of automotive software has steadily increased. Recent cars and trucks have more electronics and lines of code than modern aircraft. This complexity has made the commoditization of the software exceptionally challenging. The AUTomotive Open System ARchitecture (AUTOSAR) standard was created to enable original equipment manufacturers (OEMs), Tier 1 and Tier 2 Suppliers, Vendors, and other players in automotive software to freely buy, sell, and integrate software components for automotive applications. AUTOSAR does this through a standardized set of software interfaces and a methodology for enabling software exchange, allowing software tools to interoperate. This study explored how AUTOSAR practitioners go about the business of conducting the methodology and its perceived benefits and problems. A global survey of AUTOSAR practitioners was conducted to collect company and respondent demographic information and details concerning specific practices. The survey results indicated practitioners believe AUTOSAR was good at abstracting hardware from the software and between the software components. Respondents also indicated that the AUTOSAR methodology was complicated and not sufficiently prescriptive, leading to inconsistent interpretation and application. Based on the survey results, it was concluded that more work is needed to provide more decisive clarity and direction for AUTOSAR practitioners.</p>

Service-oriented architecture is a possible solution to the increasing complexity of automotive software systems. We conduct a systematic mapping study investigating the use of service-oriented architecture in automotive software. This study aims at providing information on publication trends, available architectural solutions, main benefits and challenges in automotive service-oriented architecture. From an initial set of 341 peer-reviewed publications, we selected 28 primary studies, which we classified and analysed using a thorough protocol. We provided both quantitative and qualitative analyses using vertical and orthogonal analysis. We found that there has been a significant increase in the number of publications recently, and that the studies focused on defining functionalities and data flow between them. Functionality was found as the most recognized benefit when applying service-oriented architecture in the automotive domain, while security, safety and reliability are the most recognized challenges.

No description available.

This thesis concerns applications of learning-based testing (LBT) in the automotive domain. In this domain, LBT is an attractive testing solution, since it offers a highly automated technology to conduct safety critical requirements testing based on machine learning. Furthermore, as a black-box testing technique, LBT can manage the complexity of modern automotive software applications such as advanced driver assistance systems. Within the automotive domain, three relevant software testing questions for LBT are studied namely: effectiveness of requirements modeling, learning efficiency and error discovery capabilities. Besides traditional requirements testing, this thesis also considers fault injection testing starting from the perspective of automotive safety standards, such as ISO26262. For fault injection testing, a new methodology is developed based on the integration of LBT technologies with virtualized hardware emulation to implement both test case generation and fault injection. This represents a novel application of machine learning to fault injection testing. Our approach is flexible, non-intrusive and highly automated. It can therefore provide a complement to traditional fault injection methodologies such as hardware-based fault injection. / <p>QC 20190325</p>

The automotive domain is changing. On the way to more convenient, safe, and efficient vehicles, the role of electronic controllers and particularly software has increased significantly for many years, and vehicles have become software-intensive systems. Furthermore, vehicles are connected to the Internet to enable Advanced Driver Assistance Systems and enhanced In-Vehicle Infotainment functionalities. This widens the automotive software and system landscape beyond the physical vehicle boundaries to presently include as well external backend servers in the cloud. Moreover, the connectivity facilitates new kinds of distributed functionalities, making the vehicle a part of an Intelligent Transportation System (ITS) and thus an important example for a future Internet of Things (IoT). Manufacturers, however, are confronted with the challenging task of integrating these ever-increasing range of functionalities with heterogeneous or even contradictory requirements into a homogenous overall system. This requires new software platforms and architectural approaches. In this regard, the connectivity to fixed side backend systems not only introduces additional challenges, but also enables new approaches for addressing them. The vehicle-to-backend approaches currently emerging are dominated by proprietary solutions, which is in clear contradiction to the requirements of ITS scenarios which call for interoperability within the broad scope of vehicles and manufacturers. Therefore, this research aims at the development and propagation of a new concept of a universal distributed Automotive Service Delivery Platform (ASDP), as enabler for future automotive functionalities, not limited to ITS applications. Since Machine-to-Machine communication (M2M) is considered as a primary building block for the IoT, emergent standards such as the oneM2M service platform are selected as the initial architectural hypothesis for the realisation of an ASDP. Accordingly, this project describes a oneM2M-based ASDP as a reference configuration of the oneM2M service platform for automotive environments. In the research, the general applicability of the oneM2M service platform for the proposed ASDP is shown. However, the research also identifies shortcomings of the current oneM2M platform with respect to the capabilities needed for efficient communication and data exchange policies. It is pointed out that, for example, distributed traffic efficiency or vehicle maintenance functionalities are not efficiently treated by the standard. This may also have negative privacy impacts. Following this analysis, this research proposes novel enhancements to the oneM2M service platform, such as application-data-dependent criteria for data exchange and policy aggregation. The feasibility and advancements of the newly proposed approach are evaluated by means of proof-of-concept implementation and experiments with selected automotive scenarios. The results show the benefits of the proposed enhancements for a oneM2M-based ASDP, without neglecting to indicate their advantages for other domains of the oneM2M landscape where they could be applied as well.

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.

Práce se zabývá návrhem automobilové elektronické řídicí jednotky (ECU) s funkcí partial networking definovanou normou ISO 11898-6. Cílem je navrhnout a vytvořit demonstrační ECU s použitím system basis chip NCV7471. Protože NCV7471 obsahuje standardní CAN transceiver, funkce partial networking je realizována pouze softwarem řídicí jednotky. Práce zvažuje možné způsoby realizace jak HW, tak SW části, tak aby byla zajištěna nízká spotřeba ECU v různých operačních módech, a snaží se sledovat současné trendy v automobilovém průmyslu.

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.