Automated classification and retrieval of reusable software components.
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| Title: | Automated classification and retrieval of reusable software components. |
|---|---|
| Authors: | Yao, Haining1, Etzkorn, Letha H.2, Virani, Shamsnaz3 |
| Source: | Journal of the American Society for Information Science & Technology. Feb2008, Vol. 59 Issue 4, p613-627. 15p. 4 Diagrams, 6 Charts. |
| Subjects: | Software reengineering, Component software, Natural language processing, QUERY (Information retrieval system), Semantic networks (Information theory), Automatic data collection systems |
| Abstract: | The authors describe their research which improves software reuse by using an automated approach to semantically search for and retrieve reusable software components in large software component repositories and on the World Wide Web (WWW). Using automation and smart (semantic) techniques, their approach speeds up the search and retrieval of reusable software components, while retaining good accuracy, and therefore improves the affordability of software reuse. A program understanding of software components and natural language understanding of user queries was employed. Then the software component descriptions were compared by matching the resulting semantic representations of the user queries to the semantic representations of the software components to search for software components that best match the user queries. A proof of concept system was developed to test the authors' approach. The results of this proof of concept system were compared to human experts, and statistical analysis was performed on the collected experimental data. The results from these experiments demonstrate that this automated semantic-based approach for software reusable component classification and retrieval is successful when compared to the labor-intensive results from the experts, thus showing that this approach can significantly benefit software reuse classification and retrieval. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 29382648 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automated classification and retrieval of reusable software components. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yao%2C+Haining%22">Yao, Haining</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Etzkorn%2C+Letha+H%2E%22">Etzkorn, Letha H.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Virani%2C+Shamsnaz%22">Virani, Shamsnaz</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Feb2008, Vol. 59 Issue 4, p613-627. 15p. 4 Diagrams, 6 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Software+reengineering%22">Software reengineering</searchLink><br /><searchLink fieldCode="DE" term="%22Component+software%22">Component software</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22QUERY+%28Information+retrieval+system%29%22">QUERY (Information retrieval system)</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+networks+%28Information+theory%29%22">Semantic networks (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+data+collection+systems%22">Automatic data collection systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The authors describe their research which improves software reuse by using an automated approach to semantically search for and retrieve reusable software components in large software component repositories and on the World Wide Web (WWW). Using automation and smart (semantic) techniques, their approach speeds up the search and retrieval of reusable software components, while retaining good accuracy, and therefore improves the affordability of software reuse. A program understanding of software components and natural language understanding of user queries was employed. Then the software component descriptions were compared by matching the resulting semantic representations of the user queries to the semantic representations of the software components to search for software components that best match the user queries. A proof of concept system was developed to test the authors' approach. The results of this proof of concept system were compared to human experts, and statistical analysis was performed on the collected experimental data. The results from these experiments demonstrate that this automated semantic-based approach for software reusable component classification and retrieval is successful when compared to the labor-intensive results from the experts, thus showing that this approach can significantly benefit software reuse classification and retrieval. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=29382648 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.20775 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 613 Subjects: – SubjectFull: Software reengineering Type: general – SubjectFull: Component software Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: QUERY (Information retrieval system) Type: general – SubjectFull: Semantic networks (Information theory) Type: general – SubjectFull: Automatic data collection systems Type: general Titles: – TitleFull: Automated classification and retrieval of reusable software components. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yao, Haining – PersonEntity: Name: NameFull: Etzkorn, Letha H. – PersonEntity: Name: NameFull: Virani, Shamsnaz IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 59 – Type: issue Value: 4 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
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