European Insulated Glass Unit Testing

2009 ◽  
pp. 144-144-6
Author(s):  
GB Lowe
Keyword(s):  
Unit Testing ◽  
Glass Unit

Approach to constructing software unit testing tools

1995 ◽  
Vol 10 (6) ◽  
pp. 245 ◽  
Author(s):  
Gang Luo ◽  
Robert L. Probert ◽  
Hasan Ural
Keyword(s):  
Unit Testing ◽  
Testing Tools

Developing a Web-based Application for Energy Supply Systems

2019 ◽  
Vol 2 (3) ◽  
pp. 164-169
Author(s):  
Mohammed Faza ◽  
Maulahikmah Galinium ◽  
Matthias Guenther
Keyword(s):  
Energy Supply ◽  
Power Plants ◽  
Acceptance Testing ◽  
Design Activity ◽  
Unit Testing ◽  
Validity Testing ◽  
Energy Supply System ◽  
Time Series Modelling ◽  
Supply Systems ◽  
Energy Supply Systems

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.

Automated Unit Testing with ABAP

2021 ◽  
Author(s):  
James E. McDonough
Keyword(s):  
Unit Testing

scholarly journals Java Unit Testing Tool Competition

2020 ◽  
Author(s):  
Xavier Devroey ◽  
Sebastiano Panichella ◽  
Alessio Gambi
Keyword(s):  
Unit Testing ◽  
Testing Tool

Unit Testing Framework for Embedded Component Systems

2020 ◽  
Author(s):  
Shuichiro Morisaki ◽  
Seito Shirata ◽  
Hiroshi Oyama ◽  
Takuya Azumi
Keyword(s):  
Unit Testing ◽  
Testing Framework ◽  
Component Systems

scholarly journals Pattern-based design applied to cultural heritage knowledge graphs

Semantic Web ◽  
2020 ◽  
pp. 1-45
Author(s):  
Valentina Anita Carriero ◽  
Aldo Gangemi ◽  
Maria Letizia Mancinelli ◽  
Andrea Giovanni Nuzzolese ◽  
Valentina Presutti ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Design Patterns ◽  
Lessons Learned ◽  
Knowledge Graph ◽  
Unit Testing ◽  
Domain Specific ◽  
Rigorous Testing ◽  
Ontology Design ◽  
Domain Specific Knowledge ◽  
Knowledge Graphs

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs are shared as well as ontology design methodologies recommending their reuse. Performing rigorous testing is recommended as well for supporting ontology maintenance and validating the resulting resource against its motivating requirements. Nevertheless, it is less than straightforward to find guidelines on how to apply such methodologies for developing domain-specific knowledge graphs. ArCo is the knowledge graph of Italian Cultural Heritage and has been developed by using eXtreme Design (XD), an ODP- and test-driven methodology. During its development, XD has been adapted to the need of the CH domain e.g. gathering requirements from an open, diverse community of consumers, a new ODP has been defined and many have been specialised to address specific CH requirements. This paper presents ArCo and describes how to apply XD to the development and validation of a CH knowledge graph, also detailing the (intellectual) process implemented for matching the encountered modelling problems to ODPs. Relevant contributions also include a novel web tool for supporting unit-testing of knowledge graphs, a rigorous evaluation of ArCo, and a discussion of methodological lessons learned during ArCo’s development.

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