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Detection and Analysis of Behavioral T-patternsi n Debugging Activities
Universidad Central de Las Villas.
University of Rennes.
KTH, School of Electrical Engineering and Computer Science (EECS), Software and Computer systems, SCS.
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018.
National Category
Engineering and Technology Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-225488OAI: oai:DiVA.org:kth-225488DiVA, id: diva2:1195591
Conference
Mining Software Repositories
Note

QC 20180411

Available from: 2018-04-05 Created: 2018-04-05 Last updated: 2018-04-11Bibliographically approved

Open Access in DiVA

fulltext(1815 kB)11 downloads
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File name FULLTEXT01.pdfFile size 1815 kBChecksum SHA-512
4b2edefc2b418651504958fee98dfb49877bf0d45ba8c1cac069219f07d031e8d2585f3ba91f9a61fd7c9df608c46480d66425c68ae565472afa78ec49815530
Type fulltextMimetype application/pdf

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Baudry, Benoit
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf