Managing ICT solutions for training and evaluation of C++ programming skills in e-learning ecosystem

2019 ◽  
Vol 6 (7) ◽  
pp. 33-41
Author(s):  
Ramona Markoska
Keyword(s):  
Web Services ◽  
Network Services ◽  
Raspberry Pi ◽  
Test Cases ◽  
C Programming ◽  
E Learning ◽  
Learning Ecosystem ◽  
Software Services ◽  
And Training ◽  
Practical Exam

А set of functional upgrades to the existing e-learning ecosystem for the C++ programming language, which provides a solution where students can use their own computers during training and practical exams, is presented in this article. The ICT solutions applied in this case offer a supervised and protected the online environment, where each student has their own working account. The rights and privileges for accessing and using various software services are customised according to the educational tasks (training or exam). Depending on the purpose, the described software solutions are realised as web services for education and training and network services for collection and evaluation of the students’ solutions during the practical exam. During the training, web services are used, and each account has its own folder, in which the solutions are stored, and if necessary, those can be opened, modified, tested and shared for collaboration or evaluation in an integrated C++ compiler. During practical exams, network services installed on Raspberry Pi are used, and for security reasons, there is no online access. Ready student solutions according to defined test cases are placed on the server. The principle of evaluation consists in comparing the solutions of each student separately with the pre-designed solutions set in the system for the same test cases. The e-learning ecosystem is developed and upgraded by managing various ICT open source solutions described in this work. Keywords: E-learning ecosystem, C++ programming, Raspberry Pi.

Adapting Test-Driven Development to Build Robust Web Services

2013 ◽  
pp. 218-237
Author(s):  
Nuno Laranjeiro ◽  
Marco Vieira
Keyword(s):  
Web Services ◽  
Software Development ◽  
Source Code ◽  
Test Cases ◽  
Services Research ◽  
Test Driven Development ◽  
Robustness Testing ◽  
Open Source Code ◽  
Testing Approach ◽  
Software Services

Web services are increasingly being used in business critical environments as a mean to provide a service or integrate distinct software services. Research indicates that, in many cases, services are deployed with robustness issues (i.e., displaying unexpected behaviors when in presence of invalid input conditions). Recently, Test-Driven Development (TDD) emerged as software development technique based on test cases that are defined before development, as a way to validate functionalities. However, programmers typically disregard the verification of limit conditions, such as the ones targeted by robustness testing. Moreover, in TDD, tests are created before developing the functionality, conflicting with the typical robustness testing approach. This chapter discusses the integration of robustness testing in TDD for improving the robustness of web services during development. The authors requested three programmers to create a set of services based on open-source code and to implement different versions of the services specified by TPC-App, using both TDD and the approach presented in this chapter. Results indicate that TDD with robustness testing is an effective way to create more robust services.

Adapting Test-Driven Development to Build Robust Web Services

2014 ◽  
pp. 50-70
Author(s):  
Nuno Laranjeiro ◽  
Marco Vieira
Keyword(s):  
Web Services ◽  
Software Development ◽  
Source Code ◽  
Test Cases ◽  
Services Research ◽  
Test Driven Development ◽  
Robustness Testing ◽  
Open Source Code ◽  
Testing Approach ◽  
Software Services

Web services are increasingly being used in business critical environments as a mean to provide a service or integrate distinct software services. Research indicates that, in many cases, services are deployed with robustness issues (i.e., displaying unexpected behaviors when in presence of invalid input conditions). Recently, Test-Driven Development (TDD) emerged as software development technique based on test cases that are defined before development, as a way to validate functionalities. However, programmers typically disregard the verification of limit conditions, such as the ones targeted by robustness testing. Moreover, in TDD, tests are created before developing the functionality, conflicting with the typical robustness testing approach. This chapter discusses the integration of robustness testing in TDD for improving the robustness of web services during development. The authors requested three programmers to create a set of services based on open-source code and to implement different versions of the services specified by TPC-App, using both TDD and the approach presented in this chapter. Results indicate that TDD with robustness testing is an effective way to create more robust services.

DESIGNING E-LEARNING RESOURCES FOR TEACHING MATHEMATICS IN PRIMARY SCHOOL WITH ADOBE FLASH AND HTML5 SYSTEMS

2018 ◽  
pp. 49-57
Author(s):  
N. A. Gluzman
Keyword(s):  
Primary School ◽  
Web Applications ◽  
Special Importance ◽  
Learning Resources ◽  
Multimedia Presentations ◽  
Adobe Flash ◽  
E Learning ◽  
High Level ◽  
And Training ◽  
Training Practice

In the modern educational space regarding the realities of the information society special importance is attached to issues related to the provision of a high level of informatization of education, which implies teachers’ mastering the necessary competencies and the ability to introduce e-learning resources into educational and training practice. Adobe Flash as one of the platforms for creating web applications and multimedia presentations enjoys greatest popularity with users including teachers. However, in connection with the announcement of discontinuing Adobe Flash support in 2020, the issue of choosing an analog to create web applications and presentations for use in teaching purposes is becoming particularly relevant. The article provides a comprehensive analysis of developing electronic educational resources by teachers using Adobe Flash and HTML5 for teaching math in primary school.

scholarly journals Resource and dependency based test case generation for RESTful Web services

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Man Zhang ◽  
Bogdan Marculescu ◽  
Andrea Arcuri
Keyword(s):  
Web Services ◽  
Domain Knowledge ◽  
Automated System ◽  
Test Case ◽  
Test Cases ◽  
Evolutionary Search ◽  
Sampling Strategies ◽  
Mutation Operators ◽  
On Line ◽  
Restful Web Services

AbstractNowadays, RESTful web services are widely used for building enterprise applications. REST is not a protocol, but rather it defines a set of guidelines on how to design APIs to access and manipulate resources using HTTP over a network. In this paper, we propose an enhanced search-based method for automated system test generation for RESTful web services, by exploiting domain knowledge on the handling of HTTP resources. The proposed techniques use domain knowledge specific to RESTful web services and a set of effective templates to structure test actions (i.e., ordered sequences of HTTP calls) within an individual in the evolutionary search. The action templates are developed based on the semantics of HTTP methods and are used to manipulate the web services’ resources. In addition, we propose five novel sampling strategies with four sampling methods (i.e., resource-based sampling) for the test cases that can use one or more of these templates. The strategies are further supported with a set of new, specialized mutation operators (i.e., resource-based mutation) in the evolutionary search that take into account the use of these resources in the generated test cases. Moreover, we propose a novel dependency handling to detect possible dependencies among the resources in the tested applications. The resource-based sampling and mutations are then enhanced by exploiting the information of these detected dependencies. To evaluate our approach, we implemented it as an extension to the EvoMaster tool, and conducted an empirical study with two selected baselines on 7 open-source and 12 synthetic RESTful web services. Results show that our novel resource-based approach with dependency handling obtains a significant improvement in performance over the baselines, e.g., up to + 130.7% relative improvement (growing from + 27.9% to + 64.3%) on line coverage.

On the Generation of E-Learning Resources Using Business Process, Natural Language Processing, and Web Services

2021 ◽  
Vol 23 (2) ◽  
pp. 40-44
Author(s):  
Olivia Fragoso-Diaz ◽  
Vitervo Lopez Caballero ◽  
Juan Carlos Rojas-Perez ◽  
Rene Santaolaya-Salgado ◽  
Juan Gabriel Gonzalez-Serna
Keyword(s):  
Natural Language Processing ◽  
Web Services ◽  
Natural Language ◽  
Language Processing ◽  
Business Process ◽  
Learning Resources ◽  
E Learning

i-DERASSA: e-learning Platform based on Augmented and Virtual Reality interaction for Education and Training

2021 ◽  
Author(s):  
Kahina Amara ◽  
Nadia Zenati ◽  
Oualid Djekoune ◽  
Mohamed Anane ◽  
Ilhem Kheira Aissaoui ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Education And Training ◽  
Learning Platform ◽  
E Learning ◽  
And Training

scholarly journals The Model and Training Algorithm of Compact Drone Autonomous Visual Navigation System

Data ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 4 ◽  
Author(s):  
Viacheslav Moskalenko ◽  
Alona Moskalenko ◽  
Artem Korobov ◽  
Viktor Semashko
Keyword(s):  
Autonomous Navigation ◽  
Search Algorithm ◽  
Visual Navigation ◽  
Frame Rate ◽  
Raspberry Pi ◽  
Navigation Systems ◽  
Training Algorithms ◽  
Translation Error ◽  
Deep Model ◽  
And Training

Trainable visual navigation systems based on deep learning demonstrate potential for robustness of onboard camera parameters and challenging environment. However, a deep model requires substantial computational resources and large labelled training sets for successful training. Implementation of the autonomous navigation and training-based fast adaptation to the new environment for a compact drone is a complicated task. The article describes an original model and training algorithms adapted to the limited volume of labelled training set and constrained computational resource. This model consists of a convolutional neural network for visual feature extraction, extreme-learning machine for estimating the position displacement and boosted information-extreme classifier for obstacle prediction. To perform unsupervised training of the convolution filters with a growing sparse-coding neural gas algorithm, supervised learning algorithms to construct the decision rules with simulated annealing search algorithm used for finetuning are proposed. The use of complex criterion for parameter optimization of the feature extractor model is considered. The resulting approach performs better trajectory reconstruction than the well-known ORB-SLAM. In particular, for sequence 7 from the KITTI dataset, the translation error is reduced by nearly 65.6% under the frame rate 10 frame per second. Besides, testing on the independent TUM sequence shot outdoors produces a translation error not exceeding 6% and a rotation error not exceeding 3.68 degrees per 100 m. Testing was carried out on the Raspberry Pi 3+ single-board computer.

scholarly journals Implementation of Smart Mirror using Raspberry PI

2021 ◽  
pp. 234-238
Author(s):  
Aditya Tepalwar ◽  
Asha Sherikar ◽  
Prajyot Mane ◽  
Vishal Fulpagare
Keyword(s):  
Web Services ◽  
Information Services ◽  
Mirror System ◽  
Weather Data ◽  
Raspberry Pi ◽  
The Internet ◽  
Computer Assisted ◽  
User Data ◽  
Information And Communication ◽  
Smart Appliance

Smart appliance design that includes multimedia intelligence to deliver comfortable, convenient, and secure personal services in the home is becoming increasingly crucial in the age of information and communication technology. This research looks at the design and execution of a novel interactive multimedia mirror system called as "smart mirror." The glass that will be used is the foundation of the design of a smart mirror. Two-way glass is suggested because it allows the visuals on the display to be seen more clearly. Our way of life has evolved to the point where making the best use of one's time is critical. Based on user surveys and prototype implementation, we propose the development of an innovative appliance that incorporates interactive information services delivered via a user interface on the surface of a mirror. Our work is based on the assumption that we all check ourselves in the mirror before leaving the house, so why shouldn't the mirror be intelligent? Smart Mirrors will eventually replace regular mirrors, providing users with both mirror and computer-assisted information services as technology improves. Because of the Raspberry Pi microcontroller cards aboard, the devices can connect to the internet, download data from the internet, and show that data on the mirror. Weather data, time and location data, current event data, and user data gathered from web services using a Raspberry Pi 3 microcontroller card are all included in the designed intelligent mirror system. The mirror will light up when the user steps in front of it. When thinking about this project, phrases like Smart Mirror, Interactive services, Raspberry Pi , and Web services come to mind.

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