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Before Covid-19, the class model was divided into online, offline, and blended learning. Due to Covid-19, we have the only online class environment. We need a new online class model under the new circumstances. In the new model, all technology and educational methods need to be well-adapted, organized and harmonized to compensate for the absence of offline learning sessions. In this paper, we propose a new online class model. Because of the absence of offline sessions, the model emphasizes the integration of synchronous and asynchronous activities seamlessly and effectively. The model also emphasizes the instructor's role as a content prosumer because the instructor in the new model is either reusing other's and the one's own contents or supplying those contents for others. This model uses open-source solutions or free services like Moodle, OBS, Tubestory, and Snap Camera for both budget-saving and stability purposes. It actively uses Moodle's monitoring capability and adopts various learning technologies. It consists of three activity sessions: a pre-Zoom session, a Zoom session, and a post-Zoom session. Each session is composed of modules that describe the process and action for the class. The process, methods, and techniques for each module are explained in this paper. The official students survey for class evaluation held by Kongju national university showed that the new class model's application obtained a higher score than the same class of the previous year that is performed by conventional teaching.

Error checking is easy and inexpensive in the initial stages as compared to later stages due to when the development cycle precedes the development cost and efforts also increase. UML class model is a key element of modern software methodologies and creates in the initial stage of software development. Therefore, error detection and rectification of the UML class model may save software development costs and time. This paper presents an overview of UML Class model verification approaches and identifies open issues, current research trends, and other improvement areas. This study uses a systematic literature review as an investigation method with six research questions and assesses 65 papers dated January 1997 to December 2020. From 2124 published research papers, 65 papers are selected and distributed into 7 studies. This work provides an analysis of verification approaches and the automation level of proposed approaches. As a result, it is found that the existing UML class model verification methods provide great efforts to check correctness. However, in some situations (when dealing with large and complex models), they consume a significant amount of time and do not support many important features of the UML class model.

The software design model performs an important role in modern software engineering methods. Especially in Model-Driven Engineering (MDE), it is treated as an essential asset of software development; even programming language code is produced by the models. If the model has errors, then they can propagate into the code. Model verification tools check the presence of errors in the model. This paper shows how a UML class model verification tool has been built to support complex models and unsupported elements such as XOR constraints and dependency relationships. This tool uses ontology for verifying the UML class model. It takes a class model in XMI format and generates the OWL file. Performs verification of model in two steps: (1) uses the ontology-based algorithm to verify association multiplicity constraints; and (2) uses ontology reasoner for the verification of XOR constraints and dependency relationships. The results show the proposed tool improves the verification efficiency and supports the verification of UML class model elements that have not been supported by any existing tool.