An Algorithm for Semantic based Automated Functional Testing on Web

摘要

Functional testing plays a significant role in improving quality of any software as well as its maintenance. Since web plays a vital role in modern times, therefore, there is a need of exploring as well as proposing various approaches or algorithms of functional testing on web, incorporating machine intelligence which is the emerging need of the information technology (IT) industry. The present web is approaching towards an intelligent web known as semantic web where ontology is the key concern for embedding semantic based concepts towards machine-understandable web. One of the most significant web services are semantic web services which are the web services that are semantically commented, keeping in mind the end goal to influence the services to become machine understandable, consequently permitting service discovery, and invocation to be done automatically or with least human efforts. Testing of these semantic web services may be used as a prime measure for quality assurance. The objective of this paper is to explore, analyze, discuss and summarize the state of ontological functional testing of semantic web services towards a machine-understandable approach on web. In this paper, first, semantic web services have been explored along with its testing stages and classification of testing in semantic web services. Software testing and functional testing in semantic web services have also been presented in this section. Second, literature survey has been provided in the direction of semantic web services and ontology concerns. Third, automatic ontology aided functional testing has been primarily focused in context to semantic web services, where a case study has been taken for E-commerce website and an algorithm has been proposed along with a flowchart. Here, 'GoodRelations ontology' for annotation of different aspects of E-commerce on the web is outlined and an attempt has been made to explore the concerned research aspects. Fourth, pseudo code has been presented along with the automated code for ontology based automated functional testing for an E-commerce website using the "PyCharm" tool. Also, the results and the inferences of the proposed methodology have been focused.