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Development of an Ontology-based Approach for Knowledge Management in Software Testing
Development of an Ontology-based Approach for Knowledge Management in Software Testing
Software development organizations are seeking to add quality to their products. Testing processes are strategic elements to manage projects and product quality. However, advances in technology and the emergence of increasingly critical applications make testing a complex task and large volumes of information are generated. In fact, software testing is a knowledge intensive process. Because of this, these organizations have shown a growing interest in Knowledge Management (KM) programs, which in turn support the improvement of testing procedures. KM emerges as a means to manage testing knowledge, and, consequently, to improve software quality. However, there are only a few KM solutions supporting software testing. This paper reports experiences from the development of an approach, called Ontology-based Testing Knowledge Management (OntoT-KM), that aims to assist in launching KM initiatives in the software testing domain with the support of Knowledge Management Systems (KMSs).  OntoT-KM provides a process guiding how to start applying KM in software testing. OntoT-KM is based on the findings of a systematic mapping on KM in software testing and the results of a survey with testing practitioners. Moreover, OntoT-KM considers the conceptualization established by a Reference Ontology on Software Testing (ROoST). As a proof of concept, OntoT-KM was applied to develop a KMS called Testing KM Portal (TKMP), which was evaluated in terms of usefulness, usability, and functional correctness. Results show that the developed KMS from OntoT-KM is a potential system for managing knowledge in software testing, so, the approach can guide KM initiatives in software testing.
·sol.sbc.org.br·
Development of an Ontology-based Approach for Knowledge Management in Software Testing
Using BIM Data Together with City Models
Using BIM Data Together with City Models
An increasing number of cities are creating 3D city models to support visualization and simulations in the urban planning process. The 3D city models...
·gim-international.com·
Using BIM Data Together with City Models
The "meta way"​: On upper ontologies and data meshes
The "meta way"​: On upper ontologies and data meshes
For some reason I keep hearing the word "upper ontology" more frequently in recent times. I find this problematic, because in many of the contexts I hear about it, it is introduced as a kind of secret sauce that 20 years of Semantic Web research have been hiding from the greater public.
·linkedin.com·
The "meta way"​: On upper ontologies and data meshes
Knowledge Graph und Künstliche Intelligenz
Knowledge Graph und Künstliche Intelligenz
Ein Knowledge Graph als moderne Form der Datenarchitektur. Gäste werden künftig zunehmend auch sprachbasiert nach Informationen suchen. Die Sprachanfragen werden also mittels Diktierfunktion auf dem Smartphone eingesprochen oder in Form von Fragen an digitale Assistenten wie den Google Assistant oder Alexa von Amazon gerichtet. Bei der
·open-data-germany.org·
Knowledge Graph und Künstliche Intelligenz
Quick, Easy, and Flexible Data Model Diagrams
Quick, Easy, and Flexible Data Model Diagrams
Click to learn more about author Thomas Frisendal. Many of us have a lot to do. And we have short delivery cycles, sprints, and a lot of peers to share data models with. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs? Stay with us on a […]
·dataversity.net·
Quick, Easy, and Flexible Data Model Diagrams
Is Google Really Indexing My Structured Data Markup?
Is Google Really Indexing My Structured Data Markup?
This might seem like a trivial question at first, but it's not. Before we can evaluate whether a particular markup is actually helping Google understand the content of a web page, we need to make sure that Google can crawl and index its markup.
·wordlift.io·
Is Google Really Indexing My Structured Data Markup?
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·linkedin.com·
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Why GraphQL Will Rewrite the Semantic Web
Why GraphQL Will Rewrite the Semantic Web
I'm relatively old school, semantically speaking: my first encounters with RDF was in the early 2000s, not long after Tim Berners-Lee's now-famous article in Scientific American introducing the Semantic Web to the world.
·bbntimes.com·
Why GraphQL Will Rewrite the Semantic Web