Use Cases for Systems Engineering—An Approach and Empirical Evaluation

2008 ◽  
Vol 11 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Magnus Eriksson ◽  
Kjell Borg ◽  
Jürgen Börstler
Keyword(s):  
Systems Engineering ◽  
Empirical Evaluation ◽  
Use Cases

Stream-based explainable recommendations via blockchain profiling

2021 ◽  
pp. 1-17
Author(s):  
Fátima Leal ◽  
Bruno Veloso ◽  
Benedita Malheiro ◽  
Juan Carlos Burguillo ◽  
Adriana E. Chis ◽  
...  
Keyword(s):  
Historical Data ◽  
Positive Impact ◽  
Empirical Evaluation ◽  
Recommendation Systems ◽  
Use Cases ◽  
Collaborative Filter ◽  
Model Based ◽  
Collaborative Recommendation ◽  
Smart Contract ◽  
User Trust

Explainable recommendations enable users to understand why certain items are suggested and, ultimately, nurture system transparency, trustworthiness, and confidence. Large crowdsourcing recommendation systems ought to crucially promote authenticity and transparency of recommendations. To address such challenge, this paper proposes the use of stream-based explainable recommendations via blockchain profiling. Our contribution relies on chained historical data to improve the quality and transparency of online collaborative recommendation filters – Memory-based and Model-based – using, as use cases, data streamed from two large tourism crowdsourcing platforms, namely Expedia and TripAdvisor. Building historical trust-based models of raters, our method is implemented as an external module and integrated with the collaborative filter through a post-recommendation component. The inter-user trust profiling history, traceability and authenticity are ensured by blockchain, since these profiles are stored as a smart contract in a private Ethereum network. Our empirical evaluation with HotelExpedia and Tripadvisor has consistently shown the positive impact of blockchain-based profiling on the quality (measured as recall) and transparency (determined via explanations) of recommendations.

IDSSE-M

2011 ◽  
Vol 3 (4) ◽  
pp. 55-84 ◽  
Author(s):  
Manuel Mora ◽  
Fen Wang ◽  
Ovsei Gelman ◽  
Miroljub Kljajic
Keyword(s):  
Decision Support ◽  
Open Access ◽  
Systems Engineering ◽  
Ad Hoc ◽  
Support Systems ◽  
Empirical Evaluation ◽  
Software Systems ◽  
Free Access ◽  
Research Stream ◽  
Support Engineering

Decision-making Support Systems (DMSSs) have been traditionally designed and built by using mainly the Waterfall method, Prototyping-Evolutive, or Adaptive approach in the last three decades. In this paper, the authors argue that while such approaches have guided to DMSS developers, they have been also demanded for adding ad-hoc, non-standardized activities and extra techniques based on their own expertise due to the scarcity of open-access available information of them. Additionally, from a Software Systems Engineering (SSE) viewpoint, such approaches cannot be considered as well-defined methodologies. This article contributes to the research stream of SSE-based DMSS development methodologies by reporting an initial empirical evaluation of IDSSE-M, a free-access methodology for designing and building Intelligent Decision Support Systems. IDSSE-M extends and adapts Turban and Aronson’s DSS Building Paradigm (open access), and Saxena’s Decision Support Engineering Methodology (proprietary). IDSSE-M offers DMSS developers at least a moderate level of usefulness, compatibility, and results demonstrability, which leads to a positive, good and beneficial attitude of using the methodology.

Put Use Cases into Context for Systems Engineering

Insight ◽  
2000 ◽  
Vol 2 (4) ◽  
pp. 47-48
Author(s):  
Ingmar Ogren
Keyword(s):  
Systems Engineering ◽  
Use Cases

Introduction to systems engineering with use cases

2002 ◽  
Vol 13 (6) ◽  
pp. 289-297 ◽  
Author(s):  
I. Alexander ◽  
T. Zink
Keyword(s):  
Systems Engineering ◽  
Use Cases

IDSSE-M

2013 ◽  
pp. 43-71
Author(s):  
Manuel Mora ◽  
Fen Wang ◽  
Ovsei Gelman ◽  
Miroljub Kljajic
Keyword(s):  
Decision Support ◽  
Open Access ◽  
Systems Engineering ◽  
Ad Hoc ◽  
Support Systems ◽  
Empirical Evaluation ◽  
Software Systems ◽  
Free Access ◽  
Intelligent Decision Support Systems ◽  
Research Stream

Decision-making Support Systems (DMSSs) have been traditionally designed and built by using mainly the Waterfall method, Prototyping-Evolutive, or Adaptive approach in the last three decades. In this paper, the authors argue that while such approaches have guided to DMSS developers, they have been also demanded for adding ad-hoc, non-standardized activities and extra techniques based on their own expertise due to the scarcity of open-access available information of them. Additionally, from a Software Systems Engineering (SSE) viewpoint, such approaches cannot be considered as well-defined methodologies. This article contributes to the research stream of SSE-based DMSS development methodologies by reporting an initial empirical evaluation of IDSSE-M, a free-access methodology for designing and building Intelligent Decision Support Systems. IDSSE-M extends and adapts Turban and Aronson’s DSS Building Paradigm (open access), and Saxena’s Decision Support Engineering Methodology (proprietary). IDSSE-M offers DMSS developers at least a moderate level of usefulness, compatibility, and results demonstrability, which leads to a positive, good and beneficial attitude of using the methodology.

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.

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