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@INPROCEEDINGS{Linares-Vasquez14-ICPC-DomainMatters,
   AUTHOR       = {Mario Linares-V�squez and Sam Klock and Collin McMillan and 
      Aminata Saban� and Denys Poshyvanyk and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 22<sup>nd</sup> International Conference on Program Comprehension (ICPC)},
   TITLE        = {Domain Matters: Bringing Further Evidence of the 
      Relationships among Anti-patterns, Application Domains, and 
      Quality-related Metrics in Java Mobile Apps},
   YEAR         = {2014},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Andrew Begel and Leon Moonen},
   MONTH        = {June},
   NOTE         = {11 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {232--243},
   PUBLISHER    = {ACM Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Venue: <c>ICPC</c>},
   URL          = {http://www.ptidej.net/publications/documents/ICPC14.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/ICPC14.ppt.pdf},
   ABSTRACT     = {Some previous work began studying the relationship 
      between application domains and quality, in particular through the 
      prevalence of Topic: <b>Code and design smells</b> (e.g., 
      anti-patterns). Indeed, it is generally believed that the presence of 
      these smells degrades quality but also that their prevalence varies 
      across domains. Though anecdotal experiences and empirical evidence 
      gathered from developers and researchers support this belief, there 
      is still a need to further deepen our understanding of the 
      relationship between application domains and quality. Consequently, 
      we present a large-scale study that investigated the systematic 
      relationships between the presence of smells and quality-related 
      metrics computed over the bytecode of 1,343 Java Mobile Edition 
      applications in 13 different application domains. Although, we did 
      not find evidence of a correlation between smells and quality-related 
      metrics, we found (1) that larger differences exist between metric 
      values of classes exhibiting smells and classes without smells and 
      (2) that some smells are commonly present in all the domains while 
      others are most prevalent in certain domains.}
}