Engineering Automotive Software

Broy, Manfred; Krüger, Ingolf H.; Pretschner, Alexander; Salzmann, Christian

doi:10.1109/jproc.2006.888386

Cited by 216 publications

(131 citation statements)

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“…Both companies are organized as matrix organizations and uses a traditional plan-based approach including a stage gate model for governing the development of the complete car and the V-model to present an overview of design and verification of inherent softwareintensive systems [11,15]. Currently, this approach is commonly used in the automotive industry [3,31] and thus should strengthen the possibility to generalize some of the findings reported in this paper, at least to the automotive domain.…”

Section: 1mentioning

confidence: 92%

See 1 more Smart Citation

Software Process Improvement in Inter-departmental Development of Software-Intensive Automotive Systems – A Case Study

Pernstål

Gorschek

Feldt

et al. 2013

Product-Focused Software Process Improvement

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Section: 1mentioning

confidence: 92%

“…systems are commonly developed in the context of large-scale development, where software constitutes only one, but important, part of the whole [3,4]. With the development of such systems follows many challenges, among which the needed interaction between different competencies and departments is critical [5,6].…”

Section: Introductionmentioning

confidence: 99%

Software Process Improvement in Inter-departmental Development of Software-Intensive Automotive Systems – A Case Study

Pernstål

Gorschek

Feldt

et al. 2013

Product-Focused Software Process Improvement

View full text Add to dashboard Cite

“…Modern software development in industrial context can be very complex, which makes it difficult to maintain the link between RE and ST. The product to be developed can be a system of systems with tens of millions of lines of code and thousands of requirements and all these systems must function properly together [3]. This need is highlighted in safety critical domains, such as the automotive, clinical, or avionics domains, where a system that function incorrectly may lead to loss of lives.…”

Section: Introductionmentioning

confidence: 99%

“…It is very important that the systems in these domains function as required and that makes the activities and alignment of RE and ST very important. Another characteristic of modern big organizations is that the intra organizational distances starts to grow [4] and, like in the automotive industry, different activities of the development process might be executed outside the original equipment manufacturer's (OEM) organization [3]. This makes it even more difficult to maintain the link between RE and ST and makes coordination even more important.…”

Section: Introductionmentioning

confidence: 99%

What Do We Know about Alignment of Requirements Engineering and Software Testing?

Karhapää

Haghighatkhah

Oivo

2017

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering

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Context:The alignment of different software engineering activities for coordinated functioning and optimized product development is of great importance, particularly in industrialscale development. The link between intermediate activities has been researched extensively, but the link between requirements engineering (RE) and software testing (ST) is a relatively less explored area. Objective: The objective of this study is to aggregate, structure, and classify all existing research regarding alignment of RE and ST published by the end of 2015. Method: We conducted a systematic mapping study (SMS) and aggregated all studies relevant to our scope. The primary studies are analyzed in terms of publication trend, focus area, i.e., how alignment is supported, the application domain and benefits and challenges, methodological data, and scientific rigor and industrial relevance. Results: There is a growing interest towards the topic. Several different techniques have been identified to improve RE and ST alignment. Test generation from requirements specification has received most attention. Alignment of RE and ST is particularly important for large safety-critical domains. While many challenges have been reported, the supporting evidence for benefits is scarce. Frameworks/methods/techniques is the most frequent contribution type. Solution proposal and evaluation research were the most frequently applied research type. Case study research was the most frequently applied research method, however, almost half of the studies did not clearly report any research method. Conclusion: Despite the numerous approaches that are proposed, it is not clear what approach is suitable in what context and why. To support industry in RE and ST alignment, guidelines and tool support are needed. The supporting evidence for claimed benefits is very limited. Overall, the research area is in its early stages and an increase in both the number and rigor of empirical studies are required.

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“…Nowadays, the automotive industry faces the challenge to manage the electrics and electronics E/E-architecture's complexity [12] while in parallel more and more functionality (we will call each considered software-implemented function "system function" herein) is added within a vehicle. Moreover, a recent study [9] shows that the E/E architecture faces the challenge of raising demand for vehicle automation up to fully automated driving.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Error and Sensor Management for Autonomous Vehicles: Model-Based Approach and Run-Time System

Frtunikj

Rupanov

Armbruster

et al. 2014

Model-Based Safety and Assessment

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Abstract. Over the past few years semi-autonomous driving functionality was introduced in the automotive market, and this trend continues towards fully autonomous cars. While in autonomous vehicles data from various types of sensors realize the new highly safety critical autonomous functionality, the already complex system architecture faces the challenge of designing highly reliable and safe autonomous driving system. Since sensors are prone to intermittent faults, using different sensors is better and more cost effective than duplicating the same sensor type because of diversity of reaction of different sensor typesto the same environmental condition. Specifying and validating sensors and providing technical means that enable usage of data from different sensors in case of failures is a challenging, time-consuming and error-prone task for engineers. Therefore, in this paper we present our model-based approach and a runtime system that improves the safety of autonomous driving systems by providing reusable framework managing different sensor setups in a vehicle in a case of a error. Moreover, the solution that we provide enables adaptive graceful degradation and reconfiguration by effective use of the system resources. At the end we explain in an example when and how the approach can be applied.

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Engineering Automotive Software

Cited by 216 publications

References 50 publications

Software Process Improvement in Inter-departmental Development of Software-Intensive Automotive Systems – A Case Study

Software Process Improvement in Inter-departmental Development of Software-Intensive Automotive Systems – A Case Study

What Do We Know about Alignment of Requirements Engineering and Software Testing?

Adaptive Error and Sensor Management for Autonomous Vehicles: Model-Based Approach and Run-Time System

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