Citation Export
DC Field | Value | Language |
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dc.contributor.author | Baek, Seungsuk | - |
dc.contributor.author | Lee, Jung Won | - |
dc.contributor.author | Lee, Byungjeong | - |
dc.date.issued | 2018-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36251 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039436801&origin=inward | - |
dc.description.abstract | As the software R&D project progresses, various software artifacts such as software test case, software test descriptions, software source codes, software design descriptions, and software requirements specification will inevitably be produced. When developer performs the system testing, software bugs will be found if there is fault in it. After that, developer will write up an incident report for fault management, and then developer will try to find the artifacts for checking and fixing. Because developer must check the requirement before the fixing and developer has to get the source code including the bug and its test case for fixing and unit testing. Therefore, useful approach should be proposed in order to trace the artifacts from incident report. In this paper, we propose a novel approach for recovering fault traceability links by using IR technique to show that our approach can be a useful solution. | - |
dc.description.sponsorship | Acknowledgments. This research was supported by Next-Generation Information Computing Development Program (NRF-2014M3C4A7030504) and by Basic Science Research Program (NRF-2017R1A2B4009937) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning. | - |
dc.description.sponsorship | This research was supported by Next-Generation Information Computing Development Program (NRF-2014M3C4A7030504) and by Basic Science Research Program (NRF-2017R1A2B4009937) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning. | - |
dc.language.iso | eng | - |
dc.publisher | Springer Verlag | - |
dc.subject.mesh | Fault management | - |
dc.subject.mesh | Incident reports | - |
dc.subject.mesh | Project progress | - |
dc.subject.mesh | Software artifacts | - |
dc.subject.mesh | Software requirements specifications | - |
dc.subject.mesh | Software source codes | - |
dc.subject.mesh | System testing | - |
dc.subject.mesh | Traceability links | - |
dc.title | Towards recovering fault traceability links by using information retrieval technique | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2017.12.18. ~ 2017.12.20. | - |
dc.citation.conferenceName | International Conference on Computer Science and its Applications, CSA 2017 | - |
dc.citation.edition | Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17 | - |
dc.citation.endPage | 1185 | - |
dc.citation.startPage | 1180 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 474 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, Vol.474, pp.1180-1185 | - |
dc.identifier.doi | 10.1007/978-981-10-7605-3_188 | - |
dc.identifier.scopusid | 2-s2.0-85039436801 | - |
dc.identifier.url | http://www.springer.com/series/7818 | - |
dc.subject.keyword | Fault | - |
dc.subject.keyword | Information retrieval | - |
dc.subject.keyword | Software artifact | - |
dc.subject.keyword | Traceability recovery | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Industrial and Manufacturing Engineering | - |
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