scholarly journals System of Systems Safety Analysis and Evaluation in ZalaZONE

2021 ◽  
Author(s):  
Hans Tschürtz ◽  
Florian Wagner ◽  
Wilko Schröter ◽  
Zsolt Szalay ◽  
Árpád Török
Keyword(s):  
Systems Engineering ◽  
Safety Analysis ◽  
System Of Systems ◽  
Use Cases ◽  
Use Case ◽  
Test Results ◽  
Analysis And Evaluation ◽  
Safety Critical ◽  
Autonomous Operation ◽  
Methodical Approach

Safe autonomous operation is a major challenge for today's technologies. In order to be able to define and evaluate the requirements of these technologies, a systematic and methodical approach is required. VISSE has developed such an approach over several years, which is now to be evaluated on the basis of various use cases. Students of the course of studies "Safety and Systems Engineering" have applied these procedures to a defined use case in a student project of a master study course. Driving scenarios for a road intersection were defined and safety critical situations were identified, analyzed and evaluated at ZalaZONE. The analysis and test results have shown the possibility to improve a used sensor concept in beforehand. This offers the opportunity to reduce the complexity of the driving scenarios respectively to avoid unknown situations.

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

scholarly journals User redesign, testing and evaluation of the Monitoring Risk and Improving System Safety (MoRISS) checklist for the general practice work environment

2020 ◽  
Vol 9 (4) ◽  
pp. e000977
Author(s):  
Paul Bowie ◽  
Carl de Wet ◽  
Tracey Crickett ◽  
Jan McCulloch ◽  
Pauline Young ◽  
...  
Keyword(s):  
General Practice ◽  
Care Quality ◽  
Ease Of Use ◽  
Care Practice ◽  
Free Text ◽  
Safety Critical ◽  
Work Settings ◽  
Methodical Approach ◽  
Critical Issues ◽  
Testing And Evaluation

BackgroundInadequate checking of safety-critical issues can compromise care quality in general practice (GP) work settings. Adopting a systemic, methodical approach may lead to improved standardisation of processes and reliability of task performance, strengthening the safety systems concerned. This study aimed to revise, modify and test the content and relevance of a previously validated safety checklist to the current GP context.MethodsA multimethod study was undertaken in Scottish GP involving: consensus building workshops with users and ‘experts’ to revise checklist content; regional testing of the modified checklist and follow-up usability evaluation survey of users. Quantitative data underwent descriptive statistical analyses and selected survey free-text comments are presented.ResultsA redesigned checklist tool consisting of eight themes (eg, medication safety) and 61 items (eg, out-of-date stock is appropriately disposed) was agreed by 53 users/experts with items reclassified as: mandatory (n=25), essential (n=24) and advisory (n=12). Totally 42/55 GPs tested the tool and submitted checklist data (76.4%). The mean aggregated results demonstrated 92.0% compliance with all 61 checklist items (range: 83.0%–98.0%) and 25/42 GP managers responded to the survey (59.5%) and reported high mean levels of agreement on the usefulness of the checklist (77.0%), ease of use (89.0%), learnability (94.0%) and satisfaction (78.4%).ConclusionsThe checklist was comprehensively redesigned as a practical safety monitoring and improvement tool for potential implementation in Scottish GP. Testing and evaluation demonstrated high levels of checklist content compliance and strong usability feedback, but some variation was evident indicating room for improvement in current safety-critical checking processes. The checklist should be of interest in similar GP settings internationally and to other areas of primary care practice.

SafeSysE: A Safety Analysis Integration in Systems Engineering Approach

2018 ◽  
Vol 12 (1) ◽  
pp. 161-172 ◽  
Author(s):  
Faida Mhenni ◽  
Nga Nguyen ◽  
Jean-Yves Choley
Keyword(s):  
Systems Engineering ◽  
Safety Analysis ◽  
Engineering Approach

scholarly journals Multilevel Reconfiguration Strategy for the System of Systems Engineering: Application to Platoon of Vehicles

2014 ◽  
Vol 47 (3) ◽  
pp. 8103-8109 ◽  
Author(s):  
Pushpendra Kumar ◽  
Rochdi Merzouki ◽  
Blaise Conrard ◽  
Belkacem Ould-Bouamama
Keyword(s):  
Systems Engineering ◽  
Engineering Application ◽  
System Of Systems ◽  
System Of Systems Engineering

Future Integrated Factories: A System of Systems Engineering Perspective

2015 ◽  
pp. 147-161 ◽  
Author(s):  
Saeid Nahavandi ◽  
D. Creighton ◽  
V. T. Le ◽  
M. Johnstone ◽  
J. Zhang
Keyword(s):  
Systems Engineering ◽  
System Of Systems ◽  
System Of Systems Engineering

scholarly journals Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks

2014 ◽  
Vol 23 (01) ◽  
pp. 27-35 ◽  
Author(s):  
S. de Lusignan ◽  
S-T. Liaw ◽  
C. Kuziemsky ◽  
F. Mold ◽  
P. Krause ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Predictive Analytics ◽  
Regulatory Compliance ◽  
Use Cases ◽  
Data Sources ◽  
Use Case ◽  
Crowd Sourcing ◽  
Big Data Processing

Summary Background: Generally benefits and risks of vaccines can be determined from studies carried out as part of regulatory compliance, followed by surveillance of routine data; however there are some rarer and more long term events that require new methods. Big data generated by increasingly affordable personalised computing, and from pervasive computing devices is rapidly growing and low cost, high volume, cloud computing makes the processing of these data inexpensive. Objective: To describe how big data and related analytical methods might be applied to assess the benefits and risks of vaccines. Method: We reviewed the literature on the use of big data to improve health, applied to generic vaccine use cases, that illustrate benefits and risks of vaccination. We defined a use case as the interaction between a user and an information system to achieve a goal. We used flu vaccination and pre-school childhood immunisation as exemplars. Results: We reviewed three big data use cases relevant to assessing vaccine benefits and risks: (i) Big data processing using crowd-sourcing, distributed big data processing, and predictive analytics, (ii) Data integration from heterogeneous big data sources, e.g. the increasing range of devices in the “internet of things”, and (iii) Real-time monitoring for the direct monitoring of epidemics as well as vaccine effects via social media and other data sources. Conclusions: Big data raises new ethical dilemmas, though its analysis methods can bring complementary real-time capabilities for monitoring epidemics and assessing vaccine benefit-risk balance.

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