Refine
Year of publication
Document Type
- Conference Proceeding (53)
- Article (28)
- Report (11)
- Part of a Book (4)
- Doctoral Thesis (1)
Has Fulltext
- yes (97) (remove)
Is part of the Bibliography
- yes (97) (remove)
Keywords
- virtual reality (9)
- Business Process Management Systems (4)
- Fuzzy Logic (4)
- visualization (4)
- Augmented Reality (3)
- Assignment Automation (2)
- Business Process Modeling Notation (2)
- Git (2)
- Systems Modeling Language (SysML) (2)
- Virtual Reality (2)
- artificial neural networks (2)
- machine learning (2)
- software configuration management (2)
- software design pattern detection (2)
- software engineering (2)
- systems engineering (2)
- systems modeling (2)
- version control systems (2)
- Artificial Intelligence (1)
- Business Model Canvas (1)
- Business Process Model and Notation (1)
- Business Process Modeling (1)
- Business Process Modelling (1)
- Context- awareness (1)
- Digitalisierung (1)
- Enterprise Architecture (1)
- Enterprise Content Management (1)
- Enterprise Modeling (1)
- Ethik (1)
- Fallstudien (1)
- Geschäftsmodelle (1)
- Industrial Internet of Things (1)
- KI (1)
- Knowledge Management (1)
- Künstliche Intelligenz (1)
- Minimierung (1)
- Optimierung (1)
- Re- source Assignment Automation (1)
- Resource Allocation Algorithms (1)
- Resource Assignment Automation (1)
- Rule Engines (1)
- Sekretärinnenproblem (1)
- Software Modeling (1)
- Staff Assignment Algorithms (1)
- Technikfolgenabschätzung (1)
- UML Tools (1)
- Unified Modeling Language (1)
- Visualization (1)
- artificial consciousness (1)
- augmented virtuality (1)
- business model canvas (1)
- business models (1)
- business process management (1)
- business process mining (1)
- code coverage (1)
- data pipelines (1)
- data stream processing (1)
- digitalization (1)
- event stream processing (1)
- event-driven architecture (1)
- full information (1)
- graph analysis (1)
- graph embeddings (1)
- integrated development environments (1)
- mixed reality (1)
- optimal stopping (1)
- process analysis (1)
- process mining (1)
- requirements traceability (1)
- rule-based expert system (1)
- software requirements traceability (1)
- software test coverage (1)
- software test traceability (1)
- software testing (1)
- software verification and validation (1)
- use cases (1)
Institute
VR-V&V
(2023)
To build quality into a software (SW) system necessitates supporting quality-related lifecycle activities during the software development. In software engineering, software Verification and Validation (V&V) processes constitute an inherent part of Software Quality Assurance (SQA) processes. A subset of the V&V activities involved are: 1) bidirectional traceability analysis of requirements to design model elements, and 2) software testing. Yet the complex nature of large SW systems and the dependencies involved in both design models and testing present a challenge to current V&V tools and methods regarding support for trace analysis. One of software’s essential challenges remains its invisibility, which also affects V&V activities. This paper contributes VR-V&V, a Virtual Reality (VR) solution concept towards supporting immersive V&V activities. By visualizing requirements, models, and testing artifacts with dependencies and trace relations immersively, they are intuitively accessible to a larger stakeholder audience such as SQA personnel while supporting digital cognition. Our prototype realization shows the feasibility of supporting immersive bidirectional traceability as well as immersive software test coverage and analysis. The evaluation results are based on a case study demonstrating its capabilities, in particular traceability support was performed with ReqIF, ArchiMate models, test results, test coverage, and test source to test target dependencies.
VR-SysML+Traceability
(2023)
As systems grow in complexity, the interdisciplinary nature of systems engineering makes the visualization and comprehension of the underlying system models challenging for the various stakeholders. This, in turn, can affect validation and realization correctness. Furthermore, stakeholder collaboration is often hindered due to the lack of a common medium to access and convey these models, which are often partitioned across multiple 2D diagrams. This paper contributes VR-SysML, a solution concept for visualizing and interacting with Systems Modeling Language (SysML) models in Virtual Reality (VR). Our prototype realization shows its feasibility, and our evaluation results based on a case study shows its support for the various SysML diagram types in VR, cross-diagram element recognition via our Backplane Followers concept, and depicting further related (SysML and non-SysML) models side-by-side in VR.
VR-GitCity
(2023)
The increasing demand for software functionality necessitates an increasing amount of program source code that is retained and managed in version control systems, such as Git. As the number, size, and complexity of Git repositories increases, so does the number of collaborating developers, maintainers, and other stakeholders over a repository’s lifetime. In particular, visual limitations of command line or two- dimensional graphical Git tooling can hamper repository comprehension, analysis, and collaboration across one or multiple repositories when a larger stakeholder spectrum is involved. This is especially true for depicting repository evolution over time. This paper contributes VR-GitCity, a Virtual Reality (VR) solution concept for visualizing and interacting with Git repositories in VR. The evolution of the code base is depicted via a 3D treemap utilizing a city metaphor, while the commit history is visualized as vertical planes. Our prototype realization shows its feasibility, and our evaluation results based on a case study show its depiction, comprehension, analysis, and collaboration capabilities for evolution, branch, commit, and multi-repository analysis scenarios.
Software design patterns and the abstractions they offer can support developers and maintainers with program code comprehension. Yet manually-created pattern documentation within code or code-related assets, such as documents or models, can be unreliable, incomplete, and labor-intensive. While various Design Pattern Detection (DPD) techniques have been proposed, industrial adoption of automated DPD remains limited. This paper contributes a hybrid DPD solution approach that leverages a Bayesian network integrating developer expertise via rule-based micropatterns with our machine learning subsystem that utilizes graph embeddings. The prototype shows its feasibility, and the evaluation using three design patterns shows its potential for detecting both design patterns and variations.
VR-EDStream+EDA
(2023)
With increasing digitalization, the importance of data and events, which comprise its most fundamental level, cannot be overemphasized. All types of organizations, including enterprises, business, government, manufacturing, and the supporting IT, are dependent on these fundamental building blocks. Thus, evidence-based comprehension and analysis of the underlying data and events, their stream processing, and correlation with enterprise events and activities becomes vital for an increasing set of (grassroot or citizen) stakeholders. Thus, further investigation of accessible alternatives to visually support analysis of data and events is needed. This paper contributes VR-EDStream+EDA, a solution for immersively visualizing and interacting with data and event streams or pipelines and generically visualizing Event-Driven Architecture (EDA) in Virtual Reality (VR). Our realization shows its feasibility, and a case-based evaluation provides insights into its capabilities.
As systems grow in complexity, the interdisciplinary nature of systems engineering makes the visualization and comprehension of the underlying system models challenging for the various stakeholders. This, in turn, can affect validation and realization correctness. Furthermore, stakeholder collaboration is often hindered due to the lack of a common medium to access and convey these models, which are often partitioned across multiple 2D diagrams. This paper contributes VR-SysML, a solution concept for visualizing and interacting with SysML models in Virtual Reality (VR). Our prototype realization shows its feasibility, and our evaluation results based on a case study shows its support for the various SysML diagram types in VR, cross-diagram element recognition via our backplane followers concept, and depicting further related (SysML and non-SysML) models side-by-side in VR.
With the increasing pressure to deliver additional software functionality, software engineers and developers are often confronted with the dilemma of sufficient software testing. One aspect to avoid is test redundancy, and measuring test (or code or statement) coverage can help focus test development on those areas that are not yet sufficiently tested. As software projects grow, it can be difficult to visualize both the software product and the software testing area and their dependencies. This paper contributes VR-TestCoverage, a Virtual Reality (VR) solution concept for visualizing and interacting with test coverage, test results, and test dependency data in VR. Our VR implementation shows its feasibility. The evaluation results based on a case study show its support for three testing-related scenarios.
Repeatable processes are fundamental for describing how enterprises and organizations operate, for production, for Industry 4.0, etc. As digitalization and automation progresses across all organizations and industries, including enterprises, business, government, manufacturing, and IT, evidence-based comprehension and analysis of the processes involved, including their variations, anomalies, and performance, becomes vital for an increasing set of stakeholders. Process Mining (PM) relies on logs or processes (as such evidence-based) to provide process-centric analysis data, yet insights are not necessarily visually accessible for a larger set of stakeholders (who may not be process or data analysts). Towards addressing certain challenges described in the Process Mining Manifesto, this paper contributes VR-ProcessMine, a solution for visualizing and interacting with PM results in Virtual Reality (VR). Our realization shows its feasibility, and a case-based evaluation provides insights into its capabilities.
The increasing demand for software functionality necessitates an increasing amount of program source code that is retained and managed in version control systems, such as Git. As the number, size, and complexity of Git repositories increases, so does the number of collaborating developers, maintainers, and other stakeholders over a repository’s lifetime. In particular, visual limitations of Git tooling hampers repository comprehension, analysis, and collaboration across one or multiple repositories with a larger stakeholder spectrum. This paper contributes VR-Git, a Virtual Reality (VR) solution concept for visualizing and interacting with Git repositories in VR. Our prototype realization shows its feasibility, and our evaluation results based on a case study show its support for repository comprehension, analysis, and collaboration via branch, commit, and multi-repository scenarios.
Today’s Industry 4.0 Smart Factories involve complicated and highly automated processes. Nevertheless, certain crucial activities such as machine maintenance remain that require human involvement. For such activities, many factors have to be taken into account, like worker safety or worker qualification. This adds to the complexity of selection and assignment of optimal human resources to the processes and overall coordination. Contemporary Business Process Management (BPM) Systems only provide limited facilities regarding activity resource assignment. To overcome these, this contribution pro- poses a BPM-integrated approach that applies fuzzy sets and rule processing for activity assignment. Our findings suggest that our approach has the potential for improved work distribution and cost savings for Industry 4.0 production processes. Furthermore, the scalability of the approach provides efficient performance even with a large number of concurrent activity assignment requests and can be applied to complex production scenarios with minimal effort.
Although production processes in Industry 4.0 set- tings are highly automated, many complicated tasks, such as machine maintenance, continue to be executed by human workers. While smart factories can provide these workers with some digitalization support via Augmented Reality (AR) devices, these AR tasks depend on many contextual factors, such as live data feeds from machines in view, or current work safety conditions. Although currently feasible, these localized contextual factors are mostly not well-integrated into the global production process, which can result in various problems such as suboptimal task assignment, over-exposure of workers to hazards such as noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) were not particularly designed to consider and integrate context-aware factors during planning and execution. This paper describes the AR-Process Framework (ARPF) for extending a BPMS to support context-integrated modeling and execution of processes with AR tasks in industrial use cases. Our realization shows how the ARPF can be easily integrated with prevalent BPMS. Our evaluation findings from a simulation scenario indicate that ARPF can improve Industry 4.0 processes with regard to AR task execution quality and cost savings.
The volume of program source code created, reused, and maintained worldwide is rapidly increasing, yet code comprehension remains a limiting productivity factor. For developers and maintainers, well known common software design patterns and the abstractions they offer can help support program comprehension. However, manual pattern documentation techniques in code and code-related assets such as comments, documents, or models are not necessarily consistent or dependable and are cost-prohibitive. To address this situation, we propose the Hybrid Design Pattern Detection (HyDPD), a generalized approach for detecting patterns that is programming-language-agnostic and combines graph analysis (GA) and Machine Learning (ML) to automate the detection of design patterns via source code analysis. Our realization demonstrates its feasibility. An evaluation compared each technique and their combination for three common patterns across a set of 75 single pattern Java and C# public sample pattern projects. The GA component was also used to detect the 23 Gang of Four design patterns across 258 sample C# and Java projects as well as in a large Java project. Performance and scalability were measured. The results show the advantages and potential of a hybrid approach for combining GA with artificial neural networks (ANN) for automated design pattern detection, providing compensating advantages such as reduced false negatives and improved F1 scores.
A complex and dynamic IT landscape with evermore digital elements, relations, and content presents a challenge for Enterprise Architecture (EA). Disparate digital repositories, including Knowledge Management Systems (KMS), Enterprise Content Management Systems (ECMS), and Enterprise Architecture Tools (EAT), often remain disjointed. And even if integrated, insights remain hindered by current visualization limitations, making it increasingly difficult to analyze, manage, and gain insights into the digital enterprise reality. This paper contributes our nexus-based Virtual Reality (VR) solution concept VR-EA+TCK that enhances and amalgamates EAT with KMS and ECMS capabilities. By enabling visualization, navigation, and interaction in VR with dynamically-generated EA diagrams, knowledge/value chains, and KMS/ECMS digital entities, it sets the groundwork for stakeholder-accessible grassroots enterprise modeling/analysis and future collaboration in a metaverse. An implementation shows its feasibility, while a case study demonstrates its potential using enterprise analysis scenarios: ECMS/KMS coverage in the EA, business processes, knowledge chains, Wardley Maps, and risk analysis.
Redemanuskript zum Impulsvortrag für die Podiumsdiskussion „Dürfen Maschinen denken (können)?“ auf dem 102. Katholikentag am 28.05.2022 in Stuttgart. Podium: Winfried Kretschmann (MdL, MPräs Baden-Württemberg, Stuttgart), Ursula Nothelle-Wildfeuer (Freiburg), Michael Resch (Stuttgart), Karsten Wendland (Aalen) Moderation: Stefanie Rentsch (Fulda) Anwältin des Publikums: Verena Neuhausen (Stuttgart) - with English translation -
Dieser Leitfaden soll Ihnen helfen:
• Nachhaltige Alternativen in Betracht zu ziehen
• Den Ressourcenverbrauch zu reduzieren
• Verträge so zu strukturieren, dass sie die Ziele der nachhaltigen Entwicklung fördern
• Potentielle Budgeteinsparungen zu identifizieren
• Ihr Publikum über das Thema Nachhaltigkeit zu informieren
A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of Things Processes
(2022)
In the context of Industry 4.0, smart factories enable a new level of highly individualized and very efficient production, driven by highly automated processes and connected Industrial Internet of Things (IIoT) devices. Yet the IIoT process context, crucial for operational process enactment, cannot be readily represented in processes as currently modeled. Despite automation progress, manual tasks performed by humans (such as maintenance) remain, and while complicated tasks can be supported by Augmented Reality (AR) devices, they remain insufficiently integrated into global production processes. To seamlessly integrate process automation, IIoT context, and AR, this paper contributes BPMN-CARX, a Context and Augmented Reality eXtension (CARX) for BPMN (Business Process Model and Notation) and the CARX Framework, which enables AR and IIoT context integration with existing Business Process Management Systems (BPMSs). An Industry 4.0 case study demonstrates its feasibility and applicability.
Das Sekretärinnenproblem oder Dowry-Problem ist ein prominenter Vertreter der Optimal-Stopping Probleme. Hierzu existieren Algorithmen, die unter voller Information für eine bekannte Verteilung der betrachteten Zufallszahlen, ertragsmaximale Lösungen versprechen. Dieser Aufsatz beschäftigt sich mit der Anpassung der Verfahren auf Minimierungsprobleme. Nach der Herleitung der Lösung, wird diese exemplarisch auf vier Verteilungen übertragen. Danach werden die resultierenden Algorithmen numerisch und analytisch betrachtet, um Rückschlüsse über wesentliche Eigenschaften ziehen zu können.
Leveraging Augmented Reality to Support Context-Aware Tasks in Alignment with Business Processes
(2021)
The seamless inclusion of Augmented Reality (AR) with Business Process Management Systems (BPMSs) for Smart Factory and Industry 4.0 processes remains a challenge. Towards this end, this paper contributes an approach integrating context-aware AR into intelligent business processes to support and guide manufacturing personnel tasks and enable live task assignment optimization and support task execution quality. Our realization extends two BPMSs (Camunda and AristaFlow) and various AR devices. Various AR capabilities are demonstrated via a simulated industrial case study.
DEKXTROSE: An Education 4.0 Mobile Learning Approach and Object-Aware App Based on a Knowledge Nexus
(2020)
The exponential growth in knowledge coupled with the decreasing knowledge half-life creates a challenging situation for educational programs - particularly those preparing software engineers for their very dynamic high-technology field. Teachers in high technology education areas are challenged in selecting and making relevant knowledge intuitively accessible to students, especially with regard the highly dynamic digital and software technologies. This paper contributes a knowledge nexus-based multimedia approach aligned with Higher Education 4.0 for creating learning apps on mobile devices that support multiple didactic models, leverage intrinsic curiosity and motivation, support gamification, and enable digital collaboration. Object recognition is used to trigger learning paths, and various didactic methods are supported via workflow-like learning flows to support group or team-based learning. A prototype app was realized to demonstrate its feasibility and an empirical evaluation in software engineering shows the didactic potential and advantages of the approach, which can be readily generalized and applied to the arts, sciences, etc.
Software models in the Unified Modeling Language (UML) can been created or automatically reverse-engineered and used for quickly gaining structural insights into larger, legacy, or unfamiliar software. But as the size, structural complexity, and interdependencies between software components in larger systems grows, two-dimensional viewing and modeling has limitations, and new ways of visualizing larger models and numerous associated diagrams of different types are needed to intuitively convey structural and relational insights. To investigate the feasibility of using Virtual Reality (VR) to create an immersive UML-based software modeling experience, this paper contributes a VR solution concept for visualizing, navigating, modeling, and interacting with software models using UML notation. An implementation shows its feasibility while an empirical evaluation highlights its potential.
Production processes in Industry 4.0 settings are usually highly automated. However, many complicated tasks, such as machine maintenance, must be executed by human workers. In current smart factories, such tasks can be supported by Augmented Reality (AR) devices. These AR tasks rely on high numbers of contextual factors like live data from machines or work safety conditions and are mostly not well integrated into the global production process. This can lead to various problems like suboptimal task assignment, over-exposure of workers to hazards like noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) are not capable of readily taking such factors into account. There- fore, this contribution proposes a novel approach for context- integrated modeling and execution of processes with AR tasks. Our practical evaluations show that our AR Process Framework can be easily integrated with prevalent BPMS. Furthermore, we have created a comprehensive simulation scenario and our findings suggest that the application of this system can lead to various benefits, like better quality of AR task execution and cost savings regarding the overall Industry 4.0 processes.
Industry 4.0 production comprises complicated highly automated processes. However, human activities are also a crucial component of these processes, e.g., for machine main- tenance. Task assignment of human resources in this domain is challenging, as many factors have to be taken into account to ensure effective and efficient activity execution and satisfy special conditions (like worker safety). To overcome the limita- tions of current Business Process Management (BPM) Systems regarding activity resource assignment, this contribution provides a BPM-integrated approach that applies fuzzy sets for activity assignment. Our findings suggest that this approach can be easily applied to complex production scenarios, while providing efficient performance even with a large number of concurrent activity assignment requests. Additionally, our evaluation shows its potential for improved work distribution which can lead to cost savings in Industry 4.0 production processes.
Forming complex parts out of high and ultra-high strength aluminium alloys has proved to be more challenging in comparison to the currently used deep drawing steels. Nevertheless, aluminium alloys show a limited formability in contrast with, for example, deep drawing steels. Novel processes like Warm-forming, W-Temper or Hotforming, offer the potential to produce light and highly integrated one-piece components from such aluminium alloys at elevated temperatures. When considering aluminium alloys of the 7000 group, which can reach strength values (UTS) of about 600 MPa, crash components such as side impact bars would offer a suitable field of application.
Forming at elevated temperatures, in particular with the Hotforming process, offers high potential in the production of complex structural components on the one hand and in the use of existing press hardening equipment on the other. To date, the material behaviour of aluminium alloys in the 7000 group, applied in such processes and in the later final state after forming, is not sufficiently known.
Therefore, in this study, systematic investigations on the formability and the final strength during and after forming at elevated temperature of the EN AW-7075 aluminium wrought alloy from different suppliers are conducted. In general, material- and damage/ failure models were created and implemented into simulation in order to make predictions. Characterisation of the plastic material properties on the basis of various tensile specimens as shear-, notched-, tensile- and Erichsen tests are carried out to adapt the complex material- and failure models such as Barlat YLD2000 and GISSMO to the experimental values using a parameter optimisation. These were made for the material conditions during forming, i.e. after solution heat treatment, the final condition after artificial ageing at 180°C for 20 minutes, which corresponds to the cathodic dip coating, and the T6 condition, which is the highest strength condition.
To evaluate a suitable friction coefficient for high temperature forming processes, anti-friction agents are screened, and the potential applicability evaluated by strip-drawing tests. Thereby, using an analytical relationship, friction coefficients are determined at room temperature and 180°C, which are used as corresponding friction model for the finite element forming simulation.
Crash simulations using the nonlinear finite element method (FEM) of side impact protection beams are used to demonstrate the weight saving potential of high and ultra-high strength aluminium alloys compared to a beam made of press hardened steel. A weight saving of about 20 % could be achieved with the same crash performance. This can be significantly increased to around 30 % - 40 % by using local reinforcements such as CFRP or GFRP (carbon/ glass fibre reinforced plastic) patch. For this reason, a novel process was developed which is based on the conventional Hotforming process with an integrated thermal direct joining step called “Extended Hotforming”.
Subsequently, a heatable forming tool for the production of a serial like sheet metal side impact beam was developed to validate the finite element simulation and to demonstrate the potential of the forming processes at elevated temperatures for aluminium sheet metal components.
As the amount of software source code increases, manual approaches for documentation or detection of software design patterns in source code become inefficient relative to the value. Furthermore, typical automatic pattern detection tools are limited to a single programming language. To address this, our Design Pattern Detection using Machine Learning (DPDML) offers a generalized and programming language agnostic approach for automated design pattern detection based on machine learning (ML). The focus of our evaluation was on ensuring DPDML can reasonably detect one design pattern in the structural, creational, and behavioral category for two popular programming languages (Java and C#). 60 unique Java and C# code projects were used to train the artificial neural network (ANN) and 15 projects were then used to test pattern detection. The results show the feasibility and potential for pursuing an ANN approach for automated design pattern detection.
SARS-CoV-2 bestimmt maßgeblich unseren Alltag. Seit einiger Zeit ständiger
Wegbegleiter im öffentlichen Raum und teilweise auch modisches Accessoire: Der Mund-Nasenschutz. In einer aktuellen Mixed-Method-Studie geht das Institut für Unternehmensführung (AAUF) der Hochschule Aalen der privaten Nutzung von Mund-Nasenschutz im öffentlichen Raum (Einzelhandel und ÖPNV) auf den Grund. Dafür wurden im Zeitraum vom 25.05.2020 bis 13.06.2020 insgesamt 2.393 Personen in einer Online-Erhebung befragt und die gewonnenen Erkenntnisse um persönliche Interviews (433 Probanden) und Beobachtungen (691 Probanden) vor diversen Supermärkten und Einkaufszentren im süddeutschen Raum ergänzt.
SARS-CoV-2 bestimmt maßgeblich unseren Alltag. Seit einiger Zeit ständiger Wegbegleiter im öffentlichen Raum und teilweise auch modisches Accessoire: Der Mund-Nasenschutz. Im Rahmen einer Mixed-Method-Studie geht das Aalener Institut für Unternehmensführung (AAUF) der privaten Nutzung von Mund-Nasenschutz im öffentlichen Raum (Einzelhandel und ÖPNV) auf den Grund. Dafür wurden im Zeitraum vom 25.05.2020 bis 13.06.2020 insgesamt 2.393 Personen in einer Online-Erhebung befragt und die gewonnenen Erkenntnisse um persönliche Interviews (433 Probanden) und Beobachtungen (691 Probanden) vor diversen Supermärkten und Einkaufszentren im süddeutschen Raum ergänzt. Dieser Forschungsbericht enthält die Ergebnisse der während des Zeitraums vom 02.06.2020 bis 06.06.2020 durchgeführten Interviews.
SARS-CoV-2 bestimmt maßgeblich unseren Alltag. Seit einiger Zeit ständiger
Wegbegleiter im öffentlichen Raum und teilweise auch modisches Accessoire: Der
Mund-Nasenschutz. In einer aktuellen Mixed-Method-Studie geht Institut für Unternehmensführung (AAUF) der Hochschule Aalen der privaten Nutzung von Mund-
Nasenschutz im öffentlichen Raum (Einzelhandel und ÖPNV) auf den Grund. Dafür wurden im Zeitraum vom 25.05.2020 bis 13.06.2020 insgesamt 2.393 Personen in
einer Online-Erhebung befragt und die gewonnenen Erkenntnisse um Beobachtungen (691 Probanden) vor diversen Supermärkten und Einkaufszentren im süddeutschen Raum und persönliche Interviews (433 Probanden) ergänzt.
Die vorliegende Studie beschäftigt sich mit der Hygiene-Compliance in Krankenhäusern.
Zur Einhaltung von Regeln der Hände- und Flächendesinfektion wurden hierzu Entscheider von Krankenhäusern in Deutschland, Österreich und der Schweiz befragt.
In der Studie zeigt sich eine starke Sensibilisierung für das Thema Compliance. Hier ist hinzuzufügen, dass die Studie vor der Corona-Pandemie durchgeführt wurde, und
bereits zu diesem Zeitpunkt gab es eine Aufmerksamkeit für das Thema.
Cybercrime im Mittelstand
(2020)
Die Bedrohung durch Cyber-Kriminalität entwickelt sich ständig weiter. Auch die Studie des Aalener Instituts für Unternehmensführung (AAUF) zeigt, dass Cyber-Security ein durchaus Ernst zunehmendes Thema ist, dessen sich die Geschäftsleitung zwingend annehmen sollte, gehören Cyber-Angriffe doch mittlerweile schon zum Alltag vieler Unternehmen.
Die vorliegende Untersuchung beschäftigt sich mit der Umsetzung und Implementierung von Compliance-Management in deutschen Unternehmen. Dazu wurden 142 Unternehmen anhand einer elektronischen Umfrage befragt. Der Fragebogen enthält 32 Fragen, diese sind in die drei Abschnitte „allgemeine Unternehmensfragen“, „Fragen zum Compliance Management“ und „demographische Daten“ unterteilt. Die Umfrage fokussiert sich hierbei besonders auf Fragestellungen hinsichtlich der organisatorischen Eingliederung, Funktionsweise, Aufgaben und Instrumente sowie der Bewertung des Compliance-Managements innerhalb der Unternehmen.
In the present work the influence of industry-standard heat treatment on ultra-high strength aluminium alloys has been investigated under terms of various forming processes. For this purpose, a scaled side impact beam was formed out of AA7075 via Hotforming and W-Temper techniques and subjected to a heat treatment process. The test material was taken from several material suppliers in order to identify any variation of the mechanical properties. Based on uniaxial tensile tests the final material properties were evaluated and compared. Using the W-Temper and Hotforming process, the parts produced without a subsequent heat treatment show no influence concerning the suppliers. A significant difference of the material behaviour can be seen if single-step paint bake cycle is applied. Here, the ultimate tensile strength (UTS) values and those for yield strength vary up to 9% and 16% respectively.
KI Basierte Geschäftsmodelle
(2020)
Immer mehr Unternehmen, vom Start-Up bis zum etablierten Großkonzern, beschäftigen sich mit Künstlicher Intelligenz (KI). Diese Unternehmen wollen sich hierdurch jenen Anteil der digitalen Dividende sichern, die eine Anreicherung ihres Geschäftsmodells mit KI verspricht. Um den Einfluss des Themas auf ein beliebiges Unternehmen besser einschätzen und Potentiale erschließen zu können, ist eine Systematisierung zwingend erforderlich und die Kenntnis erfolgreicher Projekte hilfreich. Hierzu werden in dem vorliegenden Beitrag die Begriffe "Geschäftsmodell" und "KI" zunächst erläutert und eine Definition von KI basierten Geschäftsmodellen vorgeschlagen. Basierend hierauf werden 10 Use-Cases von Unternehmen unterschiedlicher Größe vorgestellt und unter Hinzunahme einer Strukturierungsmethode für Geschäftsmodelle systematisiert.
Enterprise Architecture (EA) Frameworks (EAFs) have attempted to support comprehensive and cohesive modeling and documentation of the enterprise. However, these EAFs were not conceived for today’s rapidly digitalized enterprises and the associated IT complexity. A digitally-centric EAF is needed, freed from the past restrictive EAF paradigms and embracing the new potential in a data-centric world. This paper proposes an alternative EAF that is digital, holistic, and digitally sustainable - the Digital Diamond Framework. D2F is designed for responsive and agile enterprises, for aligning business plans and initiatives with the actual enterprise state, and addressing the needs of EA for digitized structure, order, modeling, and documentation. The feasibility of D2F is demonstrated with a prototype implementation of an EA tool that applies its principles, showing how the framework can be practically realized, while a case study based on ArchiSurance example and an initial performance and scalability characterization provide additional insights as to its viability.
Databases are becoming an ubiquitous and integral part of most software as the data era and the Internet of Everything unfolds. Alternative database types such as NoSQL grow in popularity and allow data to be stored and accessed more simply or in new ways. Thus, software developers, not just database specialists, are more likely to encounter and need to deal with databases. Virtual Reality (VR) technology has grown in popularity, yet its integration in the software development tool chain has been limited. One potential application area for VR technology that has not been sufficiently explored is database-model visualization. This paper describes Virtual Reality Immersion in Data Models (VRiDaM), a generic database-model approach for visualizing, navigating, and conveying database-model information interactively. It describes and explores both native VR and WebVR solution concepts, with prototypes showing the viability of the approach.
The digital transformation occurring in enterprises results in an in- creasingly dynamic and complex IT landscape that in turn impacts enterprise architecture (EA) and its artefacts. New approaches for dealing with more com- plex and dynamic models and conveying EA structural and relational insights are needed. As EA tools attempt to address these challenges, virtual reality (VR) can potentially enhance EA tool capabilities and user insight but further investigation is needed in how this can be achieved. This paper contributes a VR solution concept for visualizing, navigating, and interacting with EA tool dynamically-generated diagrams and models using the EA tool Atlas. An im- plementation shows its feasibility and a case study using EA scenarios is used to demonstrate its potential.
Nowadays, businesses with focus on consumer-products are challenged by short production cycles, high pricing pressure, and the need to deliver new features and services in a regular interval. Currently, businesses are tackling these challenges by automating their business pro- cesses, while yet trying to be flexible by introducing methods for process variability modeling. However, for larger processes and variability models, it becomes difficult to consider, maintain, and optimize all process variations in the various execution contexts. In software development, highly agile requirements are usually tackled with a flexible microservice architecture. Nonetheless, the fast-changing service landscape is often not fully reflected in the underlying business processes, leading to inefficiency and loss of profit. With this work, we extend our framework for process variability modeling with concepts of Microflows, allowing agile business process modeling and orchestration while utilizing the full flexibility of underlying microservices. In addition, we present a case study, showing how this approach is used in the context of an IoT application
VR-EA: Virtual Reality Visualization of Enterprise Architecture Models with ArchiMate and BPMN
(2019)
The digital transformation occurring throughout enterprises results in an increasingly dynamic and complex IT landscape. As the structures with which enterprise architecture (EA) deals become more digital, larger, complex, and dynamic, new approaches for modeling, documenting, and conveying EA structural and relational aspects are needed. The potential for virtual reality (VR) to address upcoming EA modeling challenges has as yet been insufficient- ly explored. This paper contributes a VR hypermodel solution concept for visu- alizing, navigating, interacting with ArchiMate and Business Process Modeling Notation (BPMN) models in VR. An implementation demonstrates its feasibil- ity and a case study is used to show its potential.
Automated Software Engineering Process Assessment: Supporting Diverse Models using an Ontology
(2013)
Towards Dynamic Business Process Management: Adapting Processes via Cloud-based Adaptation Processes
(2016)
Digital Aura
(2004)
Die Anforderungen an gute Unternehmensführung (Corporate Governance) nehmen in der Praxis stetig zu. Dies ist zum einen auf eine stark ansteigende Regulierungsdichte zurückzuführen. Beispiele wie die 2018 in Kraft tretende EU-Datenschutzgrundverordnung, das neue CSR-Richtlinie-Umsetzungsgesetz oder das seit 2016 anzuwendende Gesetz zur gleichberechtigen Teilhabe von Frauen in Führungspositionen zeigen, dass internationale und nationale Gesetzgeber das Thema Corporate Governance als außerordentlich wichtig erachten.
Die vorliegende Studie des Aalener Instituts für Unternehmensführung (AAUF)zur Risikomanagementpraxis in deutschen Unternehmen zeigt, dass Risikomanagement für die Unternehmen ein Thema ist, welches aktiv von der Geschäftsführung/dem Vorstand diskutiert wird und welchem mehrheitlich eine mittlere bis sehr hohe Relevanz beigemessen wird, die in Zukunft sogar noch steigen wird.
While Virtual Reality (VR) has been applied to various domains to provide new visualization and interaction capabilities, enabling programmers to utilize VR for their software development and maintenance tasks has been insufficiently explored. In this paper, we present the Hyper-Display Environment (HyDE) in the form of a mixed-reality (HyDE-MR) or virtual reality (HyDE-VR) variant respectively, which provides simultaneous multiple operating system window visualization with integrated keyboard/mouse viewing and interaction using MR or in pure VR via a virtual keyboard. This paper applies HyDE in a software development case study as an alternative to typical non-VR Integrated Development Environments (IDEs), supporting software engineering tasks with multiple live screens in VR as an augmented virtuality. The MR solution concept enables programmers to benefit from VR visualization and virtually unlimited information displays while supporting their more natural keyboard interaction for basic code-centric tasks. Thus, developers can leverage VR paradigms and capabilities while directly interacting with their favorite tools to develop and maintain program code. A prototype implementation is described, with a case study demonstrating its feasibility and an initial empirical study showing its potential.