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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.
The purpose of this master thesis is to make a manual on cataracts so that optometrists in the Republic of Croatia have in one place everything about the causes, diagnosis, and treatment of cataracts. According to the World Health Organization cataract is one of the leading causes of vision impairment in the world. By properly diagnosing the type of cataract, we provide patients with a better quality of life and a visual aid with which they will achieve maximum visual acuity. This master’s thesis will summarize all the knowledge from the master's degree in Aalen in order to get a broader picture of the formation of cataracts. On daily basis optometrists encounter cataract pathology, the goal is to better understand what affects cataract formation, from drugs to systemic diseases, and to ultimately help the client see better after resolving cataract pathology.
Das Ziel eines jeden Augenoptiker ist es, seine Kunden zufriedenzustellen und den eigenen Kundenstamm aufzubauen. In Zeiten der Digitalisierung werden die Kundenbindung und die damit einhergehenden Maßnahmen zu einem wichtigen Thema. Denn mehrere Wissenschaftler haben festgestellt, dass loyale Kunden um einiges profitabler und günstiger als die Kundenneugewinnung für das eigene Unternehmen sind. Ziel dieser Arbeit ist es, die Wichtigkeit und Komplexität eines modernen Kundenbeziehungsmanagements für die Augenoptik aufzuzeigen. Anhand umfassender Literaturrecherche werden die Methoden der Kundenbindung herausgearbeitet, zusammengefasst und auf Aktualität geprüft. Die anschließende Umfrage an IPROKunden klärt, inwieweit die zuvor beschriebenen Methoden genutzt werden und wie erfolgreich sie sind. Zusätzlich wird dabei ermittelt, ob die Kunden-App SINNO zukünftig ein vielversprechendes Instrument werden kann und der Augenoptiker unterstützt werden kann, die Bindung zum Kunden nachhaltig zu stärken. Des Weiteren wird erfragt, welche Wünsche und Erwartungen die Kunden an Anwendungen in der App haben.
Die Notwendigkeit optometrischer Dienstleistungen, die über die Refraktion hinausgehen, ist seit einiger Zeit bekannt. Doch für den Beweis, dass und wie sie im Fachgeschäft funktionieren, fehlen meist die Erfahrungen. In dieser Abschlussarbeit wird dies an einem seit über 15 Jahren angewendeten Optometrie-Konzept eines augenoptischen Fachgeschäfts bewiesen. Es werden die Anfänge der Pioniere retrospektiv betrachtet, die gegenwärtige Anwendung des optometrischen Untersuchungskonzepts und Möglichkeiten, die die Zukunft bietet.
Feedback management in hearing aids and its challenges have been there for over 60 years. The basic principles of feedback management are still in use to prevent the hearing aids from oscillation. This work focusses on the feedback management in custom style hearing aids by comparing four different Invisible-In-the-Canal (IIC) hearing aids. Four test set-ups were created to find valid and reli-able methods and set-ups to test custom hearing aids for their feedback management. The goal was to find out if they could provide 1) stable gain, 2) good sound quality, 3) indicate specific frequencies audible feedback occurs and 4) to test the clinical robustness through subjective experience rating. The principle was: matched gain – matched acoustics.