@MISC{Yamashita18-Demo-MSR,
   AUTHOR       = {Aiko Yamashita and Fabio Petrillo and Foutse Khomh and 
      Yann-Ga�l Gu�h�neuc},
   OPTHOWPUBLISHED = {},
   MONTH        = {May},
   NOTE         = {4 pages. Data showcase at the 15<sup>th</sup> International Conference on Mining Software Repositories.},
   TITLE        = {Developer Interaction Traces backed by IDE Screen 
      Recordings from Think-aloud Sessions},
   YEAR         = {2018},
   KEYWORDS     = {Topic: <b>Program comprehension</b>, Venue: <c>MSR</c>},
   PAGES        = {50--53},
   URL          = {http://www.ptidej.net/publications/documents/MSR18DataShowcase.doc.pdf},
   ABSTRACT     = {There are two well-known difficulties to test and 
      interpret methodologies for mining developer interaction traces: 
      first, the lack of enough large datasets needed by mining or machine 
      learning approaches to provide reliable results; and second, the lack 
      of ground truth or empirical evidence that can be used to triangulate 
      the results, or to verify their accuracy and correctness. Moreover, 
      relying solely on interaction traces limits our ability to take into 
      account contextual factors that can affect the applicability of 
      mining techniques in other contexts, as well hinders our ability to 
      fully understand the mechanics behind observed phenomena. The data 
      presented in this paper attempts to alleviate these challenges by 
      providing 600+ hours of developer interaction traces, from which 26+ 
      hours are backed with video recordings of the IDE screen and 
      developer's comments. This data set is relevant to researchers 
      interested in investigating program comprehension, and those who are 
      developing techniques for interaction traces analysis and mining.}
}

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Data showcase at the 15^th International Conference on Mining Software Repositories.},\r\n TITLE = {Developer Interaction Traces backed by IDE Screen \r\n Recordings from Think-aloud Sessions},\r\n YEAR = {2018},\r\n KEYWORDS = {Topic: <b>Program comprehension</b>, Venue: <c>MSR</c>},\r\n PAGES = {50--53},\r\n URL = {http://www.ptidej.net/publications/documents/MSR18DataShowcase.doc.pdf},\r\n ABSTRACT = {There are two well-known difficulties to test and \r\n interpret methodologies for mining developer interaction traces: \r\n first, the lack of enough large datasets needed by mining or machine \r\n learning approaches to provide reliable results; and second, the lack \r\n of ground truth or empirical evidence that can be used to triangulate \r\n the results, or to verify their accuracy and correctness. 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