Application of Inference Rules to a Software Requirements Ontology to Generate Software Test Cases

Tarasov, Vladimir; Tan, He; Ismail, Muhammad; Adlemo, Anders; Johansson, Mats

doi:10.1007/978-3-319-54627-8_7

Cited by 11 publications

(8 citation statements)

References 12 publications

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“…The final version of the ontology contained 43 concepts, 37 object properties, 12 datatype properties, and 206 instances in total. The ontology was utilised to create software test cases by using inference rules, coded in Prolog, that represented the expertise of an expert software tester [23].…”

Section: Ostagmentioning

confidence: 99%

Ontology Development Strategies in Industrial Contexts

Tarasov

Seigerroth

Sandkuhl

2019

Business Information Systems Workshops

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Knowledge-based systems are used extensively to support functioning of enterprises. Such systems need to reflect the aligned business-IT view and create shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontology development. The study resulted in identification of seven factors that were used to compare the industrial cases. The most influential factors were found to be reuse of ontologies/models, stakeholder groups involved, and level of applicability of ontology. Finally, four recommendation were formulated for projects intended to create shared understanding in an enterprise.

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Section: Ostagmentioning

confidence: 99%

Ontology Development Strategies in Industrial Contexts

Tarasov

Seigerroth

Sandkuhl

2019

Business Information Systems Workshops

Self Cite

View full text Add to dashboard Cite

show abstract

“…As software requirements specifications documents are used in all stages of development, an ontology is developed from software requirements specifications can support different development activities during the development process. These ontologies can be used to present domain knowledge in a processable format that may be helpful in test case generation to support software testing process [24], [25].…”

Section: Ontology-driven Approaches Contribution In Rementioning

confidence: 99%

Integration of Heterogeneous Requirements using Ontologies

Mustafa¹,

Kadir²,

Ibrahim³

et al. 2018

ijacsa

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Ontology-driven approaches are used to sustain the requirement engineering process. Ontologies can be used to define information and knowledge semantics during the requirements engineering phases, such as analysis, specification, validation and management of requirements. However, requirement analysts face difficulties in using ontologies for requirement engineering. In this study, a framework has been proposed to integrate heterogeneous requirements by using local and global ontologies.

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“…In this subsection are presented the inference rules and how they have been applied to the requirements ontology to create test cases [64]. But before going into any details, ment.…”

Section: Using Inference Rules To Derive Test Cases From the Ontologymentioning

confidence: 99%

Ontology-based Software Test Case Generation (OSTAG)

Tarasov

Tan

Adlemo

et al. 2015

European Projects in Knowledge Applications and Intelligent Systems

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Testing is a paramount quality assurance activity in every software development project, especially for embedded, safety critical systems. During the test process, a lot of effort is put into the generation of test cases. The presented OSTAG project aimed at developing methods and techniques to automate the software test case generation for black-box testing. The proposed approach was based on the creation of a software requirements ontology and the application of inference rules on the ontology to derive test cases. The ontology represents knowledge of the requirements, the software system and the corresponding application domain while the inference rules formalize knowledge from documents and experienced testers in the domain of test planning and test case generation. A software prototype of the approach was implemented and one of the industrial project partners evaluated the results. An alternative method for generating test cases, based on genetic algorithms, was also explored.

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Application of Inference Rules to a Software Requirements Ontology to Generate Software Test Cases

Cited by 11 publications

References 12 publications

Ontology Development Strategies in Industrial Contexts

Ontology Development Strategies in Industrial Contexts

Integration of Heterogeneous Requirements using Ontologies

Ontology-based Software Test Case Generation (OSTAG)

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