@TECHREPORT{Wu13-TR-HALO,
   AUTHOR       = {Wei Wu and Yann-Ga�l Gu�h�neuc and Giuliano Antoniol and 
      Miryung Kim},
   INSTITUTION  = {�cole Polytechnique de Montr�al},
   TITLE        = {Halo: A Multi-feature Two-pass Analysis to Identify 
      Framework API Evolution},
   YEAR         = {2013},
   OPTADDRESS   = {},
   MONTH        = {June},
   NOTE         = {24 pages.},
   NUMBER       = {EPM-RT-2013-05},
   OPTTYPE      = {},
   KEYWORDS     = {Topic: <b>Evolution patterns</b>},
   URL          = {http://www.ptidej.net/publications/documents/Research+report+HALO+June13.doc.pdf},
   ABSTRACT     = {Software frameworks and libraries are indispensable to 
      today's software systems. Because of the fast development of 
      open-source software in recent years, frameworks and libraries have 
      became much versatile as any open-source system or part thereof can 
      be used as a framework (or a library). Developer can reuse frameworks 
      in innovative ways that are not expected by the providers of 
      frameworks. Many frameworks are not well documented and very few 
      owners provide specific documents to describe the changes between 
      different releases of their frameworks. When they evolve, it is often 
      time-consuming for developers to keep their dependent code 
      up-to-date. Approaches have been proposed to lessen the impact of 
      framework evolution on developers by identifying API evolution or 
      change rules between two releases of a framework. However, the 
      precision and recall of the change rules generated by these 
      approaches depend on the features that they use, such as 
      call-dependency relations or text similarity. If these features do 
      not provide enough information, the approaches can miss correct 
      change rules and compromise the precision and recall. For example, if 
      a method in the old release of a framework is not called by other 
      methods, we cannot find its change rule using call-dependency 
      relations alone. Considering more features can overcome this 
      limitation. Yet, because many features may also give contradictory 
      information, integrating them is not straightforward. We thus 
      introduce Halo, a novel hybrid approach that uses multiple features, 
      including call dependency relations, method documentations, 
      inheritance relations, and text similarity. Halo implements a 
      two-pass analysis inspired by pattern classification problem. We 
      implement Halo in Java and compare it with four state-of-the-art 
      approaches. The comparison shows that, on average, the recall and the 
      precision of Halo are 43\NOand 5\NOhigher than that of other 
      approaches.}
}

{"_id":"wfhK6P9sgnNAqw9Rz","bibbaseid":"wu-guhneuc-antoniol-kim-haloamultifeaturetwopassanalysistoidentifyframeworkapievolution-2013","downloads":0,"creationDate":"2018-01-17T20:29:42.351Z","title":"Halo: A Multi-feature Two-pass Analysis to Identify Framework API Evolution","author_short":["Wu, W.","Gu�h�neuc, Y.","Antoniol, G.","Kim, M."],"year":2013,"bibtype":"techreport","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","bibdata":{"bibtype":"techreport","type":"techreport","author":[{"firstnames":["Wei"],"propositions":[],"lastnames":["Wu"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"firstnames":["Giuliano"],"propositions":[],"lastnames":["Antoniol"],"suffixes":[]},{"firstnames":["Miryung"],"propositions":[],"lastnames":["Kim"],"suffixes":[]}],"institution":"�cole Polytechnique de Montr�al","title":"Halo: A Multi-feature Two-pass Analysis to Identify Framework API Evolution","year":"2013","optaddress":"","month":"June","note":"24 pages.","number":"EPM-RT-2013-05","opttype":"","keywords":"Topic: <b>Evolution patterns</b>","url":"http://www.ptidej.net/publications/documents/Research+report+HALO+June13.doc.pdf","abstract":"Software frameworks and libraries are indispensable to today's software systems. Because of the fast development of open-source software in recent years, frameworks and libraries have became much versatile as any open-source system or part thereof can be used as a framework (or a library). Developer can reuse frameworks in innovative ways that are not expected by the providers of frameworks. Many frameworks are not well documented and very few owners provide specific documents to describe the changes between different releases of their frameworks. When they evolve, it is often time-consuming for developers to keep their dependent code up-to-date. Approaches have been proposed to lessen the impact of framework evolution on developers by identifying API evolution or change rules between two releases of a framework. However, the precision and recall of the change rules generated by these approaches depend on the features that they use, such as call-dependency relations or text similarity. If these features do not provide enough information, the approaches can miss correct change rules and compromise the precision and recall. For example, if a method in the old release of a framework is not called by other methods, we cannot find its change rule using call-dependency relations alone. Considering more features can overcome this limitation. Yet, because many features may also give contradictory information, integrating them is not straightforward. We thus introduce Halo, a novel hybrid approach that uses multiple features, including call dependency relations, method documentations, inheritance relations, and text similarity. Halo implements a two-pass analysis inspired by pattern classification problem. We implement Halo in Java and compare it with four state-of-the-art approaches. The comparison shows that, on average, the recall and the precision of Halo are 43\\NOand 5\\NOhigher than that of other approaches.","bibtex":"@TECHREPORT{Wu13-TR-HALO,\r\n AUTHOR = {Wei Wu and Yann-Ga�l Gu�h�neuc and Giuliano Antoniol and \r\n Miryung Kim},\r\n INSTITUTION = {�cole Polytechnique de Montr�al},\r\n TITLE = {Halo: A Multi-feature Two-pass Analysis to Identify \r\n Framework API Evolution},\r\n YEAR = {2013},\r\n OPTADDRESS = {},\r\n MONTH = {June},\r\n NOTE = {24 pages.},\r\n NUMBER = {EPM-RT-2013-05},\r\n OPTTYPE = {},\r\n KEYWORDS = {Topic: <b>Evolution patterns</b>},\r\n URL = {http://www.ptidej.net/publications/documents/Research+report+HALO+June13.doc.pdf},\r\n ABSTRACT = {Software frameworks and libraries are indispensable to \r\n today's software systems. Because of the fast development of \r\n open-source software in recent years, frameworks and libraries have \r\n became much versatile as any open-source system or part thereof can \r\n be used as a framework (or a library). Developer can reuse frameworks \r\n in innovative ways that are not expected by the providers of \r\n frameworks. Many frameworks are not well documented and very few \r\n owners provide specific documents to describe the changes between \r\n different releases of their frameworks. When they evolve, it is often \r\n time-consuming for developers to keep their dependent code \r\n up-to-date. Approaches have been proposed to lessen the impact of \r\n framework evolution on developers by identifying API evolution or \r\n change rules between two releases of a framework. However, the \r\n precision and recall of the change rules generated by these \r\n approaches depend on the features that they use, such as \r\n call-dependency relations or text similarity. If these features do \r\n not provide enough information, the approaches can miss correct \r\n change rules and compromise the precision and recall. For example, if \r\n a method in the old release of a framework is not called by other \r\n methods, we cannot find its change rule using call-dependency \r\n relations alone. Considering more features can overcome this \r\n limitation. Yet, because many features may also give contradictory \r\n information, integrating them is not straightforward. We thus \r\n introduce Halo, a novel hybrid approach that uses multiple features, \r\n including call dependency relations, method documentations, \r\n inheritance relations, and text similarity. Halo implements a \r\n two-pass analysis inspired by pattern classification problem. We \r\n implement Halo in Java and compare it with four state-of-the-art \r\n approaches. 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