A Visualization of Specification Coverage Based on Document Similarity.
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| Title: | A Visualization of Specification Coverage Based on Document Similarity. |
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| Authors: | Hiroyuki Nakagawa1 nakagawa@ist.osaka-u.ac.jp, Shori Matsui1 s-matsui@ist.osaka-u.ac.jp, Tatsuhiro Tsuchiya1 t-tutiya@ist.osaka-u.ac.jp |
| Source: | ICSE: International Conference on Software Engineering. 2017, p136-138. 3p. |
| Subjects: | Data visualization, Prototype software, Web-based user interfaces, Computer software development, Computer software testing |
| Abstract: | Code coverage is a metric used to represent how much code is tested when particular test cases are executed. As is code coverage, specification coverage is expected to help us to comprehend how much specification to be implemented is tested. In this study, we propose a visualization process for specification coverage. This process finds traceability links between specifications and test cases using a similarity metric and constructs two views for visualization. We develop a prototype tool for automatically executing the process and evaluate the process in a preliminary experiment on a web application development in industry. This extended abstract explains the overview of our study and the preliminary results. [ABSTRACT FROM AUTHOR] |
| Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: A Visualization of Specification Coverage Based on Document Similarity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hiroyuki+Nakagawa%22">Hiroyuki Nakagawa</searchLink><relatesTo>1</relatesTo><i> nakagawa@ist.osaka-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Shori+Matsui%22">Shori Matsui</searchLink><relatesTo>1</relatesTo><i> s-matsui@ist.osaka-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Tatsuhiro+Tsuchiya%22">Tatsuhiro Tsuchiya</searchLink><relatesTo>1</relatesTo><i> t-tutiya@ist.osaka-u.ac.jp</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2017, p136-138. 3p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Prototype+software%22">Prototype software</searchLink><br /><searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Code coverage is a metric used to represent how much code is tested when particular test cases are executed. As is code coverage, specification coverage is expected to help us to comprehend how much specification to be implemented is tested. In this study, we propose a visualization process for specification coverage. This process finds traceability links between specifications and test cases using a similarity metric and constructs two views for visualization. We develop a prototype tool for automatically executing the process and evaluate the process in a preliminary experiment on a web application development in industry. This extended abstract explains the overview of our study and the preliminary results. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/ICSE-C.2017.117 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 136 Subjects: – SubjectFull: Data visualization Type: general – SubjectFull: Prototype software Type: general – SubjectFull: Web-based user interfaces Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Computer software testing Type: general Titles: – TitleFull: A Visualization of Specification Coverage Based on Document Similarity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hiroyuki Nakagawa – PersonEntity: Name: NameFull: Shori Matsui – PersonEntity: Name: NameFull: Tatsuhiro Tsuchiya IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2017 Type: published Y: 2017 Titles: – TitleFull: ICSE: International Conference on Software Engineering Type: main |
| ResultId | 1 |