A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework
As trust becomes increasingly important in software domain, software trustworthiness — as a complex high-composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing Internet environment. Furthermore, how to recognize and define...
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Veröffentlicht in: | Journal of computer science and technology 2018-05, Vol.33 (3), p.603-620 |
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creator | Yang, Xi Jabeen, Gul Luo, Ping Zhu, Xiao-Ling Liu, Mei-Hua |
description | As trust becomes increasingly important in software domain, software trustworthiness — as a complex high-composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing Internet environment. Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users’ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S (Social-to-Software) software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. Finally, it provides a case study to verify that the solution is applicable and effective. |
doi_str_mv | 10.1007/s11390-018-1843-2 |
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Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users’ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S (Social-to-Software) software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. Finally, it provides a case study to verify that the solution is applicable and effective.</description><identifier>ISSN: 1000-9000</identifier><identifier>EISSN: 1860-4749</identifier><identifier>DOI: 10.1007/s11390-018-1843-2</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial Intelligence ; Computer Science ; Data Structures and Information Theory ; Homology ; Information Systems Applications (incl.Internet) ; Measurement ; Measurement methods ; Regular Paper ; Sociology ; Software ; Software Engineering ; Theory of Computation ; Trust ; Trustworthiness</subject><ispartof>Journal of computer science and technology, 2018-05, Vol.33 (3), p.603-620</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Journal of Computer Science and Technology is a copyright of Springer, (2018). All Rights Reserved.</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-ed4028fa25bf3ce2b85d04b56bba2d11be081b06187bd300f95fae2da7076c403</citedby><cites>FETCH-LOGICAL-c420t-ed4028fa25bf3ce2b85d04b56bba2d11be081b06187bd300f95fae2da7076c403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/jsjkxjsxb-e/jsjkxjsxb-e.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11390-018-1843-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11390-018-1843-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Yang, Xi</creatorcontrib><creatorcontrib>Jabeen, Gul</creatorcontrib><creatorcontrib>Luo, Ping</creatorcontrib><creatorcontrib>Zhu, Xiao-Ling</creatorcontrib><creatorcontrib>Liu, Mei-Hua</creatorcontrib><title>A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework</title><title>Journal of computer science and technology</title><addtitle>J. Comput. Sci. Technol</addtitle><description>As trust becomes increasingly important in software domain, software trustworthiness — as a complex high-composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing Internet environment. Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users’ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S (Social-to-Software) software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. 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Comput. Sci. Technol</stitle><date>2018-05-01</date><risdate>2018</risdate><volume>33</volume><issue>3</issue><spage>603</spage><epage>620</epage><pages>603-620</pages><issn>1000-9000</issn><eissn>1860-4749</eissn><abstract>As trust becomes increasingly important in software domain, software trustworthiness — as a complex high-composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing Internet environment. Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users’ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S (Social-to-Software) software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. Finally, it provides a case study to verify that the solution is applicable and effective.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11390-018-1843-2</doi><tpages>18</tpages></addata></record> |
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subjects | Artificial Intelligence Computer Science Data Structures and Information Theory Homology Information Systems Applications (incl.Internet) Measurement Measurement methods Regular Paper Sociology Software Software Engineering Theory of Computation Trust Trustworthiness |
title | A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework |
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