Presentation 2011-11-11
Document-based Test Case Generation using RDF Store
Futoshi Iwama, Taiga Nakamura,
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Abstract(in English) Automation tool has made less progress in software testing based on document such as requirement and design than unit testing for programming code. Therefore, system-level test has pressing problems related to its quality and effectively. For improving such situation, we sort out problems that constitute main obstacle to automation in designing test cases based on documents and offer a versatile method for document based testcase generation. In the method, we first define primitive case model as a set of structural tags, which express important, fundamental and relatively extractable information for defining test cases, which are designed based on our experiences and insights gained through real projects. The method converts extracted text data into RDF data, puts the data into a RDF store, and annotates data in the RDF store with tags of the primitive case. After that it generates test cases using only the tag information in a uniform manner. This paper describes the method, implemented system, and some result from real projects.
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Keyword(in English) Test-Case generation / document-based testing / RDF / Structural tagging
Paper # KBSE2011-47
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Conference Information
Committee KBSE
Conference Date 2011/11/3(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Document-based Test Case Generation using RDF Store
Sub Title (in English)
Keyword(1) Test-Case generation
Keyword(2) document-based testing
Keyword(3) RDF
Keyword(4) Structural tagging
1st Author's Name Futoshi Iwama
1st Author's Affiliation IBM Research-Tokyo, IBM Japan()
2nd Author's Name Taiga Nakamura
2nd Author's Affiliation IBM Research-Tokyo, IBM Japan
Date 2011-11-11
Paper # KBSE2011-47
Volume (vol) vol.111
Number (no) 282
Page pp.pp.-
#Pages 6
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