@ARTICLE{Jaafar17-JSS-AsynchronyChangePatterns,
   AUTHOR       = {Fehmi Jaafar and Angela Lozano and Yann-Ga�l Gu�h�neuc and 
      Kim Mens},
   JOURNAL      = {Journal of Systems and Software (JSS)},
   TITLE        = {Analyzing Software Evolution and Quality by Extracting 
      Asynchrony Change Patterns},
   YEAR         = {2017},
   MONTH        = {September},
   NOTE         = {12 pages.},
   OPTNUMBER    = {},
   PAGES        = {311--322},
   VOLUME       = {131},
   EDITOR       = {Paris Avgeriou and David Shepherd},
   KEYWORDS     = {Topic: <b>Evolution patterns</b>, Venue: <b>JSS</b>},
   PUBLISHER    = {Elsevier},
   URL          = {http://www.ptidej.net/publications/documents/JSS17.doc.pdf},
   ABSTRACT     = {Change patterns describe two or more files were often 
      changed together during the development or the maintenance of 
      software systems. Several studies have been presented to detect 
      change patterns and to analyze their types and their impact on 
      software quality. In this context, we introduced the Asynchrony 
      change pattern to describes a set of files that always change 
      together in the same change periods, regardless developers who 
      maintained them. In this paper, we investigate the impact of 
      Asynchrony change pattern on design and code smells such as 
      anti-patterns and code clones. Concretely, we conduct an empirical 
      study by detecting Asynchrony change patterns, anti-patterns and code 
      clones occurrences on 22 versions of four software systems and 
      analyzing their fault-proneness. Results show that cloned files that 
      follow the same Asynchrony change patterns have significantly 
      increased fault-proneness with respect to other clones, and that 
      anti-patterns following the same Asynchrony change pattern can be up 
      to five times more risky in terms of fault-proneness as compared to 
      other anti-patterns. Asynchrony change patterns thus seem to be 
      strong indicators of fault-proneness for clones and anti-patterns.}
}

{"_id":"cLiJgPFp2nbWd9WMb","bibbaseid":"jaafar-lozano-guhneuc-mens-analyzingsoftwareevolutionandqualitybyextractingasynchronychangepatterns-2017","downloads":0,"creationDate":"2018-01-17T20:29:42.151Z","title":"Analyzing Software Evolution and Quality by Extracting Asynchrony Change Patterns","author_short":["Jaafar, F.","Lozano, A.","Gu�h�neuc, Y.","Mens, K."],"year":2017,"bibtype":"article","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Fehmi"],"propositions":[],"lastnames":["Jaafar"],"suffixes":[]},{"firstnames":["Angela"],"propositions":[],"lastnames":["Lozano"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"firstnames":["Kim"],"propositions":[],"lastnames":["Mens"],"suffixes":[]}],"journal":"Journal of Systems and Software (JSS)","title":"Analyzing Software Evolution and Quality by Extracting Asynchrony Change Patterns","year":"2017","month":"September","note":"12 pages.","optnumber":"","pages":"311–322","volume":"131","editor":[{"firstnames":["Paris"],"propositions":[],"lastnames":["Avgeriou"],"suffixes":[]},{"firstnames":["David"],"propositions":[],"lastnames":["Shepherd"],"suffixes":[]}],"keywords":"Topic: <b>Evolution patterns</b>, Venue: <b>JSS</b>","publisher":"Elsevier","url":"http://www.ptidej.net/publications/documents/JSS17.doc.pdf","abstract":"Change patterns describe two or more files were often changed together during the development or the maintenance of software systems. Several studies have been presented to detect change patterns and to analyze their types and their impact on software quality. In this context, we introduced the Asynchrony change pattern to describes a set of files that always change together in the same change periods, regardless developers who maintained them. In this paper, we investigate the impact of Asynchrony change pattern on design and code smells such as anti-patterns and code clones. Concretely, we conduct an empirical study by detecting Asynchrony change patterns, anti-patterns and code clones occurrences on 22 versions of four software systems and analyzing their fault-proneness. Results show that cloned files that follow the same Asynchrony change patterns have significantly increased fault-proneness with respect to other clones, and that anti-patterns following the same Asynchrony change pattern can be up to five times more risky in terms of fault-proneness as compared to other anti-patterns. Asynchrony change patterns thus seem to be strong indicators of fault-proneness for clones and anti-patterns.","bibtex":"@ARTICLE{Jaafar17-JSS-AsynchronyChangePatterns,\r\n AUTHOR = {Fehmi Jaafar and Angela Lozano and Yann-Ga�l Gu�h�neuc and \r\n Kim Mens},\r\n JOURNAL = {Journal of Systems and Software (JSS)},\r\n TITLE = {Analyzing Software Evolution and Quality by Extracting \r\n Asynchrony Change Patterns},\r\n YEAR = {2017},\r\n MONTH = {September},\r\n NOTE = {12 pages.},\r\n OPTNUMBER = {},\r\n PAGES = {311--322},\r\n VOLUME = {131},\r\n EDITOR = {Paris Avgeriou and David Shepherd},\r\n KEYWORDS = {Topic: <b>Evolution patterns</b>, Venue: <b>JSS</b>},\r\n PUBLISHER = {Elsevier},\r\n URL = {http://www.ptidej.net/publications/documents/JSS17.doc.pdf},\r\n ABSTRACT = {Change patterns describe two or more files were often \r\n changed together during the development or the maintenance of \r\n software systems. Several studies have been presented to detect \r\n change patterns and to analyze their types and their impact on \r\n software quality. In this context, we introduced the Asynchrony \r\n change pattern to describes a set of files that always change \r\n together in the same change periods, regardless developers who \r\n maintained them. In this paper, we investigate the impact of \r\n Asynchrony change pattern on design and code smells such as \r\n anti-patterns and code clones. Concretely, we conduct an empirical \r\n study by detecting Asynchrony change patterns, anti-patterns and code \r\n clones occurrences on 22 versions of four software systems and \r\n analyzing their fault-proneness. Results show that cloned files that \r\n follow the same Asynchrony change patterns have significantly \r\n increased fault-proneness with respect to other clones, and that \r\n anti-patterns following the same Asynchrony change pattern can be up \r\n to five times more risky in terms of fault-proneness as compared to \r\n other anti-patterns. Asynchrony change patterns thus seem to be \r\n strong indicators of fault-proneness for clones and anti-patterns.}\r\n}\r\n\r\n","author_short":["Jaafar, F.","Lozano, A.","Gu�h�neuc, Y.","Mens, K."],"editor_short":["Avgeriou, P.","Shepherd, D."],"key":"Jaafar17-JSS-AsynchronyChangePatterns","id":"Jaafar17-JSS-AsynchronyChangePatterns","bibbaseid":"jaafar-lozano-guhneuc-mens-analyzingsoftwareevolutionandqualitybyextractingasynchronychangepatterns-2017","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/JSS17.doc.pdf"},"keyword":["Topic: <b>Evolution patterns</b>","Venue: <b>JSS</b>"],"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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