• P. Helle, W. Schamai, and C. Strobel, “Testing of Autonomous Systems - Challenges and Current State-of-the-Art,” INCOSE Int. Symp., vol. 26, no. 1, pp. 571–584, 2016.
• R. de Lemos et al., “Software engineering for self-adaptive systems: research challenges in the provision of assurances,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9640 LNCS, no. December 2013, pp. 3–30, 2017.

Control engineering approaches have been identified as a promising tool to integrate self-adaptive capabilities into software systems. The goal of this work is to compare the different control engineering approaches. Then to show how they are elaborated in the design process of self-adaptive software systems.

• T. Patikirikorala, A. Colman, J. Han, and L. Wang, “A systematic survey on the design of self-adaptive software systems using control engineering approaches,” ICSE Work. Softw. Eng. Adapt. Self-Managing Syst., pp. 33–42, 2012.

https://www.scirp.org/journal/paperinformation.aspx?paperid=84800

Compilers today apply extremely powerful and complex optimization algorithms. While these optimizations significantly improve execution performance (e.g., by re-ordering instructions), they might impose new vulnerabilities in software (e.g., some redundancies are irrelevant for functionality, but they might be relevant for other properties). Functionality of the optimized binary might be proper, but the optimizations can affect quality properties. Lately, security breaches due to compiler optimizations are becoming increasingly important topic in research and industry. This seminar will gather detected examples of security breaches caused by compiler optimizations, approaches and notations for specifying security-related properties that should not be violated (i.e., testing criteria) by compiler optimizations, and approaches for finding compiler optimizations-caused security bugs.

With the increase in the computing requirements, computing industry responded with multicore and manycore processors and cloud computing. However, lately industry is facing problems with the lack of computing resources on devices and latencies caused by the need to communicate with cloud. As the answer, we have lately seen rise of the edge computing. This seminar aims to investigate: Concepts of the edge computing, Industrial use cases suitable for edge computing, Performance advantages of the edge computing over cloud and many-core on device computing.

In today’s industry, rising architectural style is based on microservices. The idea of this style is to distribute and partition a software system to small services with clearly separated functionalities and fixed interfaces. While developers and architects have recognized great benefits from this separation of concerns, the remaining question is: how does the microservice style influence performance of software systems? This seminar aims to research about existing case studies in the area of performance of microservices with the focus on performance. Besides explaining microservices with examples (code and models), it will focus on identifying architectural properties that affect performance of software systems and that are directly affected by the microservices pattern.

The advent of deep neural networks pushed many fields in automatic recognition, i.e. voice recognition and picture/video analysis. Nevertheless, the trained models give no direct insight why they produce for certain input the corresponding output. The student give an overview of existing explanation approaches and their goals.

The analysis of Deep neural networks (DNN) is crucial to ensure the quality of the trained model. In order to find different and test different input classes, multiple methods exists. The student should investigate, how the methods described in the reference list work and how they are interrelated. Beyond the given papers, further work should also be examined.

Fault trees are a widely used modeling technique for system failures and their causes. System failures (top events) are modeled as a logical concatenation of events at a lower level in the system (basic events). On the basis of a fault tree model, various analyses can be carried out, e.g. in order to evaluate the safety or reliability of the system. Thereby, the influence of individual basic events on the top event can vary considerably, as some system parts are more critical than others. The aim of this work is to give an overview of various metrics that can be used to evaluate the importance of basic events.

Openness is defined in several ways in various fields. Openness with respect to systems engineering, is a scenario where in different systems can integrate with each other during operation to share information or exchange important certificates to achieve a common goal. Similarly, openness is defined in different way in case of industrial production. The ever changing market trends, customer specific requirements for various products have triggered the need of new production systems which are flexible and adaptable to these. But openness is another step further, in Production systems. Openness can be a solution to handle this ever changing market needs and make manufacturer a competent player in today’s economy. Flexible and adaptable production systems are of prime focus in Germany led vision of “Industry 4.0”, but can openness also be a vital facet of this vision?

CACC is extended version of Adaptive cruise control in cars. Systems / Vehicles with CACC are being used to form platoons on highways and claim to improve Performance, fuel efficiency while considering the safety of own and other vehicles, and humans involved as well. It will be interesting to know, exactly to what extent is it advantageous and feasible in actual traffic scenarios, which are highly dynamic in nature and also see if such systems can be reliable.

In modern times everyone is pushing towards autonomous vehicles and driving. But before the very challenging technical questions should be addressed, many hard questions w.r.t. the use-case must be answered:

• What is to be gained from autonomous driving?
• Why are advanced driving assistence systems (ADAS) not sufficient?
• Do these two approaches (autonomous vs. ADAS) complement or contradict each other?
• Is autonomous driving a successor of ADAS or a parallel development?
• How feasible are both approaches?
• Where do we stop w.r.t. both approaches?

The topic has a stronger focus on economic than on technical aspects and is particularly suitable for students of Wirtschaftsingenieurswesen.

A smart embedded system has gained popularity in recent years and increasingly work in safety-critical dynamic environment with complex System of Systems architecture. To address this, an approach to find out the hidden challenges associated with the intelligent systems, as well as state of the art engineering practices that support the development of smart embedded systems, needs to be identified.

Goal: A literature survey must be conducted to address the associated challenges with the development of Smart Embedded System. In addition, a survey also includes the current state of the art engineering practices that increases intelligence in the Embedded systems. (Tip: Engineering practices can be in any application domain, e.g., Automotive, Railways, Medical etc.)

Keywords:- Embedded Systems, Intelligence for Embedded Systems, Smart Embedded Systems, Self-Aware/Context-Aware Embedded System, Embedded Intelligence.

The development progress of autonomous vehicles is limited due to the increased level of uncertainty resulting from the enormous number of possible scenarios. Even artificial neural networks are not sufficient to reliably classify situations. Therefore, an approach is required to identify the edge case and corner case for autonomous vehicles is required with respect to the boundary case and base case.

Goal: - Different types of the edge case, corner case, boundary case and base case with respect to Autonomous Vehicles have to be collected and discussed it in detail. (Tip: - Edge case is a problem that happens very rarely while corner case occurs only outside the operational domain)

Keywords: - Autonomous Vehicle, Edge case, Corner Case, Boundary Case, Base Case, Use cases for Autonomous Driving, Scenarios for Autonomous Vehicles.