@INPROCEEDINGS{Petrillo16-QRS-InteractiveDebugging,
  author = {F{\'a}bio Petrillo and Z{\'e}phyrin Soh and Foutse Khomh and Marcelo Soares Pimenta and Carla Maria Dal Sasso and Yann-Ga{\"e}l Gu{\'e}h{\'e}neuc},
  title = {Towards Understanding Interactive Debugging},
  booktitle = {Proceedings of the 24<sup>{th}</sup> International Conference on Software Quality, Reliability, and Security ({QRS})},
  year = {2016},
  month = {August},
  editor = {Yves Le Traon and Zhenyu Chen},
  publisher = {IEEE CS Press},
  note = {10 pages.},
  abstract = {
Debugging is a laborious activity in which developers spend lot of time
navigating through code, looking for starting points, and stepping through
statements. Yet, although debuggers exist for 40 years now, there have been
few research studies to understand this important and laborious activity.
Indeed, to perform such a study, researchers need detailed information about
the different steps of the interactive debugging process. In this paper, to
help research studies on debugging and, thus, help improving our
understanding of how developers debug systems using debuggers, we present the
Swarm Debug Infrastructure (SDI), with which practitioners and researchers
can collect and share data about developers' interactive debugging
activities. We assess the effectiveness of the SDI through an experiment that
aims to understand how developers apply interactive debugging on five true
faults found in JabRef, toggling breakpoints and stepping code. Our study
involved five freelancers and two student developers performing 19 bug
location sessions. We collect videos recording and data about 6 hours of
effective debugging activities. The data includes 110 breakpoints and near
7,000 invocations. We process the collected videos and data to answer five
research questions showing that (1) there is no correlation between the
number of invocations (respectively the number of breakpoints toggled) during
a debugging session and the time spent on the debugging task, p = -0.039
(respectively 0.093). We also observed that (2) developers follow different
debugging patterns and (3) there is no relation between numbers of
breakpoints and expertise. However, (4) there is a strong negative
correlation between time of the first breakpoint (p = -0.637), and the time
spent on the task, suggesting that when developers toggle breakpoints
carefully, they complete tasks faster than developers who toggle breakpoints
too quickly. We conclude that the SDI allows collecting and sharing debugging
data that can provide interesting insights about interactive debugging
activities. We discuss some implications for tool developers and future
debuggers.},
  grant = {NSERC DG},
  keywords = {Understanding program comprehension ; QRS},
  kind = {MISA},
  language = {english},
  url = {http://www.ptidej.net/publications/documents/QRS16.doc.pdf},
  pdf = {http://www.ptidej.net/publications/documents/QRS16.ppt.pdf},
  pages = {152--163}
}

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D.","Guéhéneuc, Y."],"year":2016,"bibtype":"inproceedings","biburl":"http://www.yann-gael.gueheneuc.net/Work/BibBase/guehene (automatically cleaned).bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Fábio"],"propositions":[],"lastnames":["Petrillo"],"suffixes":[]},{"firstnames":["Zéphyrin"],"propositions":[],"lastnames":["Soh"],"suffixes":[]},{"firstnames":["Foutse"],"propositions":[],"lastnames":["Khomh"],"suffixes":[]},{"firstnames":["Marcelo","Soares"],"propositions":[],"lastnames":["Pimenta"],"suffixes":[]},{"firstnames":["Carla","Maria","Dal"],"propositions":[],"lastnames":["Sasso"],"suffixes":[]},{"firstnames":["Yann-Gaël"],"propositions":[],"lastnames":["Guéhéneuc"],"suffixes":[]}],"title":"Towards Understanding Interactive Debugging","booktitle":"Proceedings of the 24^th International Conference on Software Quality, Reliability, and Security (QRS)","year":"2016","month":"August","editor":[{"firstnames":["Yves","Le"],"propositions":[],"lastnames":["Traon"],"suffixes":[]},{"firstnames":["Zhenyu"],"propositions":[],"lastnames":["Chen"],"suffixes":[]}],"publisher":"IEEE CS Press","note":"10 pages.","abstract":"Debugging is a laborious activity in which developers spend lot of time navigating through code, looking for starting points, and stepping through statements. Yet, although debuggers exist for 40 years now, there have been few research studies to understand this important and laborious activity. Indeed, to perform such a study, researchers need detailed information about the different steps of the interactive debugging process. In this paper, to help research studies on debugging and, thus, help improving our understanding of how developers debug systems using debuggers, we present the Swarm Debug Infrastructure (SDI), with which practitioners and researchers can collect and share data about developers' interactive debugging activities. We assess the effectiveness of the SDI through an experiment that aims to understand how developers apply interactive debugging on five true faults found in JabRef, toggling breakpoints and stepping code. Our study involved five freelancers and two student developers performing 19 bug location sessions. We collect videos recording and data about 6 hours of effective debugging activities. The data includes 110 breakpoints and near 7,000 invocations. We process the collected videos and data to answer five research questions showing that (1) there is no correlation between the number of invocations (respectively the number of breakpoints toggled) during a debugging session and the time spent on the debugging task, p = -0.039 (respectively 0.093). We also observed that (2) developers follow different debugging patterns and (3) there is no relation between numbers of breakpoints and expertise. However, (4) there is a strong negative correlation between time of the first breakpoint (p = -0.637), and the time spent on the task, suggesting that when developers toggle breakpoints carefully, they complete tasks faster than developers who toggle breakpoints too quickly. We conclude that the SDI allows collecting and sharing debugging data that can provide interesting insights about interactive debugging activities. 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Yet, although debuggers exist for 40 years now, there have been\nfew research studies to understand this important and laborious activity.\nIndeed, to perform such a study, researchers need detailed information about\nthe different steps of the interactive debugging process. In this paper, to\nhelp research studies on debugging and, thus, help improving our\nunderstanding of how developers debug systems using debuggers, we present the\nSwarm Debug Infrastructure (SDI), with which practitioners and researchers\ncan collect and share data about developers' interactive debugging\nactivities. We assess the effectiveness of the SDI through an experiment that\naims to understand how developers apply interactive debugging on five true\nfaults found in JabRef, toggling breakpoints and stepping code. Our study\ninvolved five freelancers and two student developers performing 19 bug\nlocation sessions. We collect videos recording and data about 6 hours of\neffective debugging activities. The data includes 110 breakpoints and near\n7,000 invocations. We process the collected videos and data to answer five\nresearch questions showing that (1) there is no correlation between the\nnumber of invocations (respectively the number of breakpoints toggled) during\na debugging session and the time spent on the debugging task, p = -0.039\n(respectively 0.093). We also observed that (2) developers follow different\ndebugging patterns and (3) there is no relation between numbers of\nbreakpoints and expertise. However, (4) there is a strong negative\ncorrelation between time of the first breakpoint (p = -0.637), and the time\nspent on the task, suggesting that when developers toggle breakpoints\ncarefully, they complete tasks faster than developers who toggle breakpoints\ntoo quickly. We conclude that the SDI allows collecting and sharing debugging\ndata that can provide interesting insights about interactive debugging\nactivities. 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