CodeTopics.

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Bibliographic Details
Title: CodeTopics.
Authors: Gethers, Malcom, Savage, Trevor, Di Penta, Massimiliano, Oliveto, Rocco, Poshyvanyk, Denys, De Lucia, Andrea
Source: ICSE: International Conference on Software Engineering. 2011, p1034-1036. 3p.
Subjects: Computer software, Computer programming, Computer systems, Computer software industry
Abstract: Recent studies indicated that showing the similarity between the source code being developed and related high-level artifacts (HLAs), such as requirements, helps developers improve the quality of source code identifiers. In this paper, we present CodeTopics, an Eclipse plug-in that in addition to showing the similarity between source code and HLAs also highlights to what extent the code under development covers topics described in HLAs. Such views complement information derived by showing only the similarity between source code and HLAs helping (i) developers to identify functionality that are not implemented yet or (ii) newcomers to comprehend source code artifacts by showing them the topics that these artifacts relate to. [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.)
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DbLabel: Engineering Source
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PubType: Conference
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  Data: CodeTopics.
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  Data: <searchLink fieldCode="AR" term="%22Gethers%2C+Malcom%22">Gethers, Malcom</searchLink><br /><searchLink fieldCode="AR" term="%22Savage%2C+Trevor%22">Savage, Trevor</searchLink><br /><searchLink fieldCode="AR" term="%22Di+Penta%2C+Massimiliano%22">Di Penta, Massimiliano</searchLink><br /><searchLink fieldCode="AR" term="%22Oliveto%2C+Rocco%22">Oliveto, Rocco</searchLink><br /><searchLink fieldCode="AR" term="%22Poshyvanyk%2C+Denys%22">Poshyvanyk, Denys</searchLink><br /><searchLink fieldCode="AR" term="%22De+Lucia%2C+Andrea%22">De Lucia, Andrea</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2011, p1034-1036. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+industry%22">Computer software industry</searchLink>
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  Data: Recent studies indicated that showing the similarity between the source code being developed and related high-level artifacts (HLAs), such as requirements, helps developers improve the quality of source code identifiers. In this paper, we present CodeTopics, an Eclipse plug-in that in addition to showing the similarity between source code and HLAs also highlights to what extent the code under development covers topics described in HLAs. Such views complement information derived by showing only the similarity between source code and HLAs helping (i) developers to identify functionality that are not implemented yet or (ii) newcomers to comprehend source code artifacts by showing them the topics that these artifacts relate to. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1145/1985793.1985988
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      – Code: eng
        Text: English
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        PageCount: 3
        StartPage: 1034
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      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Computer programming
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      – SubjectFull: Computer systems
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      – SubjectFull: Computer software industry
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      – TitleFull: CodeTopics.
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            NameFull: Gethers, Malcom
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            NameFull: Savage, Trevor
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            NameFull: De Lucia, Andrea
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            – D: 01
              M: 02
              Text: 2011
              Type: published
              Y: 2011
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            – TitleFull: ICSE: International Conference on Software Engineering
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