@INPROCEEDINGS{Soh13-WCRE-MatchingEffortTasks,
   AUTHOR       = {Z�phyrin Soh and Foutse Khomh and Yann-Ga�l Gu�h�neuc and 
      Giuliano Antoniol},
   BOOKTITLE    = {Proceedings of the 20<sup>th</sup> Working Conference on Reverse Engineering (WCRE)},
   TITLE        = {Towards Understanding How Developers Spend Their Effort 
      During Maintenance Activities},
   YEAR         = {2013},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Rocco Oliveto and Romain Robbes},
   MONTH        = {October},
   NOTE         = {10 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {152--161},
   PUBLISHER    = {IEEE CS Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Program comprehension</b>, Venue: <c>WCRE</c>},
   URL          = {http://www.ptidej.net/publications/documents/WCRE13b.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/WCRE13b.ppt.pdf},
   ABSTRACT     = {For many years, researchers and practitioners have 
      strived to assess and improve the productivity of software 
      development teams. One key step toward achieving this goal is the 
      understanding of factors affecting the efficiency of developers 
      performing development and maintenance activities. In this paper, we 
      aim to understand how developers' spend their effort during 
      maintenance activities and study the factors affecting developers' 
      effort. By knowing how developers' spend their effort and which 
      factors affect their effort, software organisations will be able to 
      take the necessary steps to improve the efficiency of their 
      developers, for example, by providing them with adequate program 
      comprehension tools. For this preliminary study, we mine 2,408 
      developers' interaction histories and 3,395 patches from four 
      open-source software projects (ECF, Mylyn, PDE, Eclipse Platform). We 
      observe that usually, the complexity of the implementation required 
      for a task does not reflect the effort spent by developers on the 
      task. Most of the effort appears to be spent during the exploration 
      of the program. In average, 62\NOof files explored during the 
      implementation of a task are not significantly relevant to the final 
      implementation of the task. Developers who explore a large number of 
      files that are not significantly relevant to the solution to their 
      task take a longer time to perform the task. We expect that the 
      results of this study will pave the way for better program 
      comprehension tools to guide developers during their explorations of 
      software systems.}
}

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One key step toward achieving this goal is the understanding of factors affecting the efficiency of developers performing development and maintenance activities. In this paper, we aim to understand how developers' spend their effort during maintenance activities and study the factors affecting developers' effort. By knowing how developers' spend their effort and which factors affect their effort, software organisations will be able to take the necessary steps to improve the efficiency of their developers, for example, by providing them with adequate program comprehension tools. For this preliminary study, we mine 2,408 developers' interaction histories and 3,395 patches from four open-source software projects (ECF, Mylyn, PDE, Eclipse Platform). We observe that usually, the complexity of the implementation required for a task does not reflect the effort spent by developers on the task. Most of the effort appears to be spent during the exploration of the program. In average, 62\\NOof files explored during the implementation of a task are not significantly relevant to the final implementation of the task. Developers who explore a large number of files that are not significantly relevant to the solution to their task take a longer time to perform the task. We expect that the results of this study will pave the way for better program comprehension tools to guide developers during their explorations of software systems.","bibtex":"@INPROCEEDINGS{Soh13-WCRE-MatchingEffortTasks,\r\n AUTHOR = {Z�phyrin Soh and Foutse Khomh and Yann-Ga�l Gu�h�neuc and \r\n Giuliano Antoniol},\r\n BOOKTITLE = {Proceedings of the 20^th Working Conference on Reverse Engineering (WCRE)},\r\n TITLE = {Towards Understanding How Developers Spend Their Effort \r\n During Maintenance Activities},\r\n YEAR = {2013},\r\n OPTADDRESS = {},\r\n OPTCROSSREF = {},\r\n EDITOR = {Rocco Oliveto and Romain Robbes},\r\n MONTH = {October},\r\n NOTE = {10 pages.},\r\n OPTNUMBER = {},\r\n OPTORGANIZATION = {},\r\n PAGES = {152--161},\r\n PUBLISHER = {IEEE CS Press},\r\n OPTSERIES = {},\r\n OPTVOLUME = {},\r\n KEYWORDS = {Topic: <b>Program comprehension</b>, Venue: <c>WCRE</c>},\r\n URL = {http://www.ptidej.net/publications/documents/WCRE13b.doc.pdf},\r\n PDF = {http://www.ptidej.net/publications/documents/WCRE13b.ppt.pdf},\r\n ABSTRACT = {For many years, researchers and practitioners have \r\n strived to assess and improve the productivity of software \r\n development teams. One key step toward achieving this goal is the \r\n understanding of factors affecting the efficiency of developers \r\n performing development and maintenance activities. In this paper, we \r\n aim to understand how developers' spend their effort during \r\n maintenance activities and study the factors affecting developers' \r\n effort. By knowing how developers' spend their effort and which \r\n factors affect their effort, software organisations will be able to \r\n take the necessary steps to improve the efficiency of their \r\n developers, for example, by providing them with adequate program \r\n comprehension tools. For this preliminary study, we mine 2,408 \r\n developers' interaction histories and 3,395 patches from four \r\n open-source software projects (ECF, Mylyn, PDE, Eclipse Platform). We \r\n observe that usually, the complexity of the implementation required \r\n for a task does not reflect the effort spent by developers on the \r\n task. Most of the effort appears to be spent during the exploration \r\n of the program. In average, 62\\NOof files explored during the \r\n implementation of a task are not significantly relevant to the final \r\n implementation of the task. Developers who explore a large number of \r\n files that are not significantly relevant to the solution to their \r\n task take a longer time to perform the task. We expect that the \r\n results of this study will pave the way for better program \r\n comprehension tools to guide developers during their explorations of \r\n software systems.}\r\n}\r\n\r\n","author_short":["Soh, Z.","Khomh, F.","Gu�h�neuc, Y.","Antoniol, G."],"editor_short":["Oliveto, R.","Robbes, R."],"key":"Soh13-WCRE-MatchingEffortTasks","id":"Soh13-WCRE-MatchingEffortTasks","bibbaseid":"soh-khomh-guhneuc-antoniol-towardsunderstandinghowdevelopersspendtheireffortduringmaintenanceactivities-2013","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/WCRE13b.doc.pdf"},"keyword":["Topic: <b>Program comprehension</b>","Venue: <c>WCRE</c>"],"metadata":{"authorlinks":{"gu�h�neuc, y":"https://bibbase.org/show?bib=http%3A%2F%2Fwww.yann-gael.gueheneuc.net%2FWork%2FPublications%2FBiblio%2Fcomplete-bibliography.bib&msg=embed","guéhéneuc, 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