@ARTICLE{Sharafi15-IST-SLREyeTracking,
   AUTHOR       = {Zohreh Sharafi and Z�phyrin Soh and Yann-Ga�l Gu�h�neuc},
   JOURNAL      = {Journal of Information and Software Technology (IST)},
   TITLE        = {A Systematic Literature Review on the Usage of 
      Eye-tracking in Software Engineering},
   YEAR         = {2015},
   MONTH        = {November},
   NOTE         = {28 pages.},
   OPTNUMBER    = {},
   PAGES        = {79–107},
   VOLUME       = {67},
   EDITOR       = {Guenther Ruhe and Guilherme Horta Travassos and 
      Laurie Williams},
   KEYWORDS     = {Topic: <b>Program comprehension</b>, 
      Rubrique : <b>compr�hension de programme</b>, Journal: <b>IST</b>},
   PUBLISHER    = {Elsevier},
   URL          = {http://www.ptidej.net/publications/documents/IST15.doc.pdf},
   ABSTRACT     = { Context. Eye-tracking is a mean to collect evidence 
      regarding some participants' cognitive processes. Eye-trackers 
      monitor participants' visual attention by collecting eye-movement 
      data. These data are useful to get insights into participants' 
      cognitive processes during reasoning tasks. Objective. The 
      Evidence-based Software Engineering (EBSE) paradigm has been proposed 
      in 2004 and, since then, has been used to provide detailed insights 
      regarding different topics in software engineering research and 
      practice. Systematic Literature Reviews (SLR) are also useful in the 
      context of EBSE by bringing together all existing evidence of 
      research and results about a particular topic. This SLR evaluates the 
      current state of the art of using eye-trackers in software 
      engineering and provides evidence on the uses and contributions of 
      eye-trackers to empirical studies in software engineering. Method. We 
      perform a SLR covering eye-tracking studies in software engineering 
      published from 1990 up to the end of 2014. To search all recognised 
      resources, instead of applying manual search, we perform an extensive 
      automated search using Engineering Village. We identify 36 relevant 
      publications, including nine journal papers, two workshop papers, and 
      25 conference papers. Results. The software engineering community 
      started using eye-trackers in the 1990s and they have become 
      increasingly recognised as useful tools to conduct empirical studies 
      from 2006. We observe that researchers use eye-trackers to study 
      model comprehension, code comprehension, debugging, collaborative 
      interaction, and traceability. Moreover, we find that studies use 
      different metrics based on eye-movement data to obtain quantitative 
      measures. We also report the limitations of current eye-tracking 
      technology, which threaten the validity of previous studies, along 
      with suggestions to mitigate these limitations. Conclusion. However, 
      not withstanding these limitations and threats, we conclude that the 
      advent of new eye-trackers makes the use of these tools easier and 
      less obtrusive and that the software engineering community could 
      benefit more from this technology. }
}

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Eye-tracking is a mean to collect evidence regarding some participants' cognitive processes. Eye-trackers monitor participants' visual attention by collecting eye-movement data. These data are useful to get insights into participants' cognitive processes during reasoning tasks. Objective. The Evidence-based Software Engineering (EBSE) paradigm has been proposed in 2004 and, since then, has been used to provide detailed insights regarding different topics in software engineering research and practice. Systematic Literature Reviews (SLR) are also useful in the context of EBSE by bringing together all existing evidence of research and results about a particular topic. This SLR evaluates the current state of the art of using eye-trackers in software engineering and provides evidence on the uses and contributions of eye-trackers to empirical studies in software engineering. Method. We perform a SLR covering eye-tracking studies in software engineering published from 1990 up to the end of 2014. To search all recognised resources, instead of applying manual search, we perform an extensive automated search using Engineering Village. We identify 36 relevant publications, including nine journal papers, two workshop papers, and 25 conference papers. Results. The software engineering community started using eye-trackers in the 1990s and they have become increasingly recognised as useful tools to conduct empirical studies from 2006. We observe that researchers use eye-trackers to study model comprehension, code comprehension, debugging, collaborative interaction, and traceability. Moreover, we find that studies use different metrics based on eye-movement data to obtain quantitative measures. We also report the limitations of current eye-tracking technology, which threaten the validity of previous studies, along with suggestions to mitigate these limitations. Conclusion. However, not withstanding these limitations and threats, we conclude that the advent of new eye-trackers makes the use of these tools easier and less obtrusive and that the software engineering community could benefit more from this technology. ","bibtex":"@ARTICLE{Sharafi15-IST-SLREyeTracking,\r\n AUTHOR = {Zohreh Sharafi and Z�phyrin Soh and Yann-Ga�l Gu�h�neuc},\r\n JOURNAL = {Journal of Information and Software Technology (IST)},\r\n TITLE = {A Systematic Literature Review on the Usage of \r\n Eye-tracking in Software Engineering},\r\n YEAR = {2015},\r\n MONTH = {November},\r\n NOTE = {28 pages.},\r\n OPTNUMBER = {},\r\n PAGES = {79&ndash;107},\r\n VOLUME = {67},\r\n EDITOR = {Guenther Ruhe and Guilherme Horta Travassos and \r\n Laurie Williams},\r\n KEYWORDS = {Topic: <b>Program comprehension</b>, \r\n Rubrique : <b>compr�hension de programme</b>, Journal: <b>IST</b>},\r\n PUBLISHER = {Elsevier},\r\n URL = {http://www.ptidej.net/publications/documents/IST15.doc.pdf},\r\n ABSTRACT = { Context. Eye-tracking is a mean to collect evidence \r\n regarding some participants' cognitive processes. Eye-trackers \r\n monitor participants' visual attention by collecting eye-movement \r\n data. These data are useful to get insights into participants' \r\n cognitive processes during reasoning tasks. Objective. The \r\n Evidence-based Software Engineering (EBSE) paradigm has been proposed \r\n in 2004 and, since then, has been used to provide detailed insights \r\n regarding different topics in software engineering research and \r\n practice. Systematic Literature Reviews (SLR) are also useful in the \r\n context of EBSE by bringing together all existing evidence of \r\n research and results about a particular topic. This SLR evaluates the \r\n current state of the art of using eye-trackers in software \r\n engineering and provides evidence on the uses and contributions of \r\n eye-trackers to empirical studies in software engineering. Method. We \r\n perform a SLR covering eye-tracking studies in software engineering \r\n published from 1990 up to the end of 2014. To search all recognised \r\n resources, instead of applying manual search, we perform an extensive \r\n automated search using Engineering Village. We identify 36 relevant \r\n publications, including nine journal papers, two workshop papers, and \r\n 25 conference papers. Results. The software engineering community \r\n started using eye-trackers in the 1990s and they have become \r\n increasingly recognised as useful tools to conduct empirical studies \r\n from 2006. We observe that researchers use eye-trackers to study \r\n model comprehension, code comprehension, debugging, collaborative \r\n interaction, and traceability. Moreover, we find that studies use \r\n different metrics based on eye-movement data to obtain quantitative \r\n measures. We also report the limitations of current eye-tracking \r\n technology, which threaten the validity of previous studies, along \r\n with suggestions to mitigate these limitations. Conclusion. However, \r\n not withstanding these limitations and threats, we conclude that the \r\n advent of new eye-trackers makes the use of these tools easier and \r\n less obtrusive and that the software engineering community could \r\n benefit more from this technology. }\r\n}\r\n\r\n","author_short":["Sharafi, Z.","Soh, Z.","Gu�h�neuc, Y."],"editor_short":["Ruhe, G.","Travassos, G. 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