scholarly journals Recommender systems in model-driven engineering

2021 ◽  
Author(s):  
Lissette Almonte ◽  
Esther Guerra ◽  
Iván Cantador ◽  
Juan de Lara
Keyword(s):  
Recommender Systems ◽  
Information Filtering ◽  
Research Work ◽  
Model Driven Engineering ◽  
Video Broadcasting ◽  
Model Driven ◽  
Challenges And Opportunities ◽  
Mapping Review ◽  
Development Processes ◽  
Systematic Mapping Review

AbstractRecommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.

scholarly journals Mapping of Quality Standards

2019 ◽  
Vol 8 (11) ◽  
pp. 2406-2412
Keyword(s):  
Market Competition ◽  
Quality Standards ◽  
Global Market ◽  
Leverage Effect ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Transformation Rules ◽  
Development Processes ◽  
The Common ◽  
And Control

Quality insurance creates a leverage effect in the global market competition, in particular for software development processes. Thus, companies are brought to use several standards and benchmarks of good practices in management and control of information systems. However, implementing several standards within the same company is difficult and time consuming. In this paper, we propose a Model Driven Engineering approach of building a common repository. It is focused on the common metamodel building. The transformation rules are formalized and illustrated by CMMI model.

scholarly journals A Systematic Mapping Review on MOOC Recommender Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Imranuddin ◽  
Ali Shariq Imran ◽  
Khan Muhammad ◽  
Nosheen Fayyaz ◽  
Muhammad Sajjad
Keyword(s):  
Recommender Systems ◽  
Systematic Mapping ◽  
Mapping Review ◽  
Systematic Mapping Review

Use of Business Models within Model Driven Architecture

2009 ◽  
Vol 38 (38) ◽  
pp. 119-130
Author(s):  
Erika Asnina
Keyword(s):  
Business Models ◽  
Business Processes ◽  
Use Cases ◽  
Separation Of Concerns ◽  
Model Driven Architecture ◽  
Model Driven ◽  
Development Processes ◽  
Business Requirements ◽  
Complex Computer ◽  
Independent Model

Use of Business Models within Model Driven Architecture Model Driven Architecture is a framework dedicated for development of large and complex computer systems. It states and implements the principle of architectural separation of concerns. This means that a system can be modeled from three different but related to each other viewpoints. The viewpoint discussed in this paper is a Computation Independent one. MDA specification states that a model that shows a system from this viewpoint is a business model. Taking into account transformations foreseen by MDA, it should be useful for automation of software development processes. This paper discusses an essence of the Computation Independent Model (CIM) and the place of business models in the computation independent modeling. This paper considers four types of business models, namely, SBVR, BPMN, use cases and Topological Functioning Model (TFM). Business persons use SBVR to define business vocabularies and business rules of the existing and planned domains, BPMN to define business processes of both existing and planned domains, and use cases to define business requirements to the planned domain. The TFM is used to define functionality of both existing and planned domains. This paper discusses their capabilities to be used as complete CIMs with formally defined conformity between planned and existing domains.

scholarly journals A Survey of Information Cascade Analysis

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Fan Zhou ◽  
Xovee Xu ◽  
Goce Trajcevski ◽  
Kunpeng Zhang
Keyword(s):  
Information Diffusion ◽  
Research Work ◽  
Viral Marketing ◽  
Graph Representation ◽  
Digital Information ◽  
Information Cascades ◽  
Challenges And Opportunities ◽  
Scientific Papers ◽  
Popularity Prediction ◽  
Types Of Information

The deluge of digital information in our daily life—from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising—offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades. Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion. This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes , through graph representation , to deep learning-based approaches . Specifically, we first formally define different types of information cascades and summarize the perspectives of existing studies. We then present a taxonomy that categorizes existing works into the aforementioned three main groups as well as the main subclasses in each group, and we systematically review cutting-edge research work. Finally, we summarize the pros and cons of existing research efforts and outline the open challenges and opportunities in this field.

Model-driven engineering and run-time model-usage in service robotics

2012 ◽  
Vol 47 (3) ◽  
pp. 73-82 ◽  
Author(s):  
Andreas Steck ◽  
Alex Lotz ◽  
Christian Schlegel
Keyword(s):  
Model Driven Engineering ◽  
Service Robotics ◽  
Time Model ◽  
Model Driven ◽  
Run Time
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