@ARTICLE{Sabir18-SPE-SLRSmellsOOandSO,
   AUTHOR       = {Fatima Sabir and Francis Palma and Ghulam Rasool and 
      Yann-Ga�l Gu�h�neuc and Naouel Moha},
   JOURNAL      = {Software: Practice and Experience (SPE)},
   TITLE        = {A Systematic Literature Review on the Detection of 
      Smells and their Evolution in Object-Oriented and Service-Oriented 
      Systems},
   YEAR         = {2019},
   MONTH        = {January},
   NOTE         = {36 pages.},
   NUMBER       = {1},
   PAGES        = {3--39},
   VOLUME       = {49},
   EDITOR       = {Rajkumar Buyya},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, Venue: <b>SPE</b>},
   PUBLISHER    = {Wiley},
   URL          = {http://www.ptidej.net/publications/documents/SPE18.doc.pdf},
   ABSTRACT     = {This systematic literature review article investigates 
      the key techniques used to identify bad smells in different paradigms 
      of software engineering from object-oriented (OO) to service-oriented 
      (SO). We report, classify, and categorise bad smells and the 
      state-of-the-art detection techniques based on their key 
      characteristics. With this review, we want to identify commonalities 
      and differences in the treatment of bad smells in OO and SO systems. 
      Our research method relies on an automatic search from the relevant 
      digital libraries to find the studies published since January 2000 on 
      bad smells until December 2017. We have conducted a pilot and 
      author-based search to select the 78 most relevant studies after 
      applying inclusion and exclusion criteria. We evaluated the studies 
      based on the bad smells detection techniques and the evolution of 
      different methodologies from OO to SO. We have identified six 
      different studies in which linguistic source code analysis received 
      less attention from the researchers as compared to the static source 
      code analysis. The smells like Yoyo Problem, Un-named Coupling, 
      Intensive Coupling, and Interface Bloat received considerably less 
      attention in the literature. We also identified a catalogue of 30 
      smells that are infrequently reported for SO systems and require 
      further attention. Moreover, a suite of 20 smells reported for SO 
      systems can also be detected using static source code metrics in OO. 
      Finally, our review highlighted three major research trends that are 
      further sub-divided into 20 research patterns initiating the 
      detection of bad smells towards their correction.}
}

{"_id":"viMEXq8BXe55GKxoa","bibbaseid":"sabir-palma-rasool-guhneuc-moha-asystematicliteraturereviewonthedetectionofsmellsandtheirevolutioninobjectorientedandserviceorientedsystems-2019","authorIDs":["5a5fb236a39f2c3645000032","5e60e7f0839e59df010000e8","AfJhKcg96muyPdu7S","ahGA65oGDChNYp7Mb"],"author_short":["Sabir, F.","Palma, F.","Rasool, G.","Gu�h�neuc, Y.","Moha, N."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Fatima"],"propositions":[],"lastnames":["Sabir"],"suffixes":[]},{"firstnames":["Francis"],"propositions":[],"lastnames":["Palma"],"suffixes":[]},{"firstnames":["Ghulam"],"propositions":[],"lastnames":["Rasool"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"firstnames":["Naouel"],"propositions":[],"lastnames":["Moha"],"suffixes":[]}],"journal":"Software: Practice and Experience (SPE)","title":"A Systematic Literature Review on the Detection of Smells and their Evolution in Object-Oriented and Service-Oriented Systems","year":"2019","month":"January","note":"36 pages.","number":"1","pages":"3–39","volume":"49","editor":[{"firstnames":["Rajkumar"],"propositions":[],"lastnames":["Buyya"],"suffixes":[]}],"keywords":"Topic: <b>Code and design smells</b>, Venue: <b>SPE</b>","publisher":"Wiley","url":"http://www.ptidej.net/publications/documents/SPE18.doc.pdf","abstract":"This systematic literature review article investigates the key techniques used to identify bad smells in different paradigms of software engineering from object-oriented (OO) to service-oriented (SO). We report, classify, and categorise bad smells and the state-of-the-art detection techniques based on their key characteristics. With this review, we want to identify commonalities and differences in the treatment of bad smells in OO and SO systems. Our research method relies on an automatic search from the relevant digital libraries to find the studies published since January 2000 on bad smells until December 2017. We have conducted a pilot and author-based search to select the 78 most relevant studies after applying inclusion and exclusion criteria. We evaluated the studies based on the bad smells detection techniques and the evolution of different methodologies from OO to SO. We have identified six different studies in which linguistic source code analysis received less attention from the researchers as compared to the static source code analysis. The smells like Yoyo Problem, Un-named Coupling, Intensive Coupling, and Interface Bloat received considerably less attention in the literature. We also identified a catalogue of 30 smells that are infrequently reported for SO systems and require further attention. Moreover, a suite of 20 smells reported for SO systems can also be detected using static source code metrics in OO. Finally, our review highlighted three major research trends that are further sub-divided into 20 research patterns initiating the detection of bad smells towards their correction.","bibtex":"@ARTICLE{Sabir18-SPE-SLRSmellsOOandSO,\r\n AUTHOR = {Fatima Sabir and Francis Palma and Ghulam Rasool and \r\n Yann-Ga�l Gu�h�neuc and Naouel Moha},\r\n JOURNAL = {Software: Practice and Experience (SPE)},\r\n TITLE = {A Systematic Literature Review on the Detection of \r\n Smells and their Evolution in Object-Oriented and Service-Oriented \r\n Systems},\r\n YEAR = {2019},\r\n MONTH = {January},\r\n NOTE = {36 pages.},\r\n NUMBER = {1},\r\n PAGES = {3--39},\r\n VOLUME = {49},\r\n EDITOR = {Rajkumar Buyya},\r\n KEYWORDS = {Topic: <b>Code and design smells</b>, Venue: <b>SPE</b>},\r\n PUBLISHER = {Wiley},\r\n URL = {http://www.ptidej.net/publications/documents/SPE18.doc.pdf},\r\n ABSTRACT = {This systematic literature review article investigates \r\n the key techniques used to identify bad smells in different paradigms \r\n of software engineering from object-oriented (OO) to service-oriented \r\n (SO). We report, classify, and categorise bad smells and the \r\n state-of-the-art detection techniques based on their key \r\n characteristics. With this review, we want to identify commonalities \r\n and differences in the treatment of bad smells in OO and SO systems. \r\n Our research method relies on an automatic search from the relevant \r\n digital libraries to find the studies published since January 2000 on \r\n bad smells until December 2017. We have conducted a pilot and \r\n author-based search to select the 78 most relevant studies after \r\n applying inclusion and exclusion criteria. We evaluated the studies \r\n based on the bad smells detection techniques and the evolution of \r\n different methodologies from OO to SO. We have identified six \r\n different studies in which linguistic source code analysis received \r\n less attention from the researchers as compared to the static source \r\n code analysis. The smells like Yoyo Problem, Un-named Coupling, \r\n Intensive Coupling, and Interface Bloat received considerably less \r\n attention in the literature. We also identified a catalogue of 30 \r\n smells that are infrequently reported for SO systems and require \r\n further attention. Moreover, a suite of 20 smells reported for SO \r\n systems can also be detected using static source code metrics in OO. \r\n Finally, our review highlighted three major research trends that are \r\n further sub-divided into 20 research patterns initiating the \r\n detection of bad smells towards their correction.}\r\n}\r\n\r\n","author_short":["Sabir, F.","Palma, F.","Rasool, G.","Gu�h�neuc, Y.","Moha, N."],"editor_short":["Buyya, R."],"key":"Sabir18-SPE-SLRSmellsOOandSO","id":"Sabir18-SPE-SLRSmellsOOandSO","bibbaseid":"sabir-palma-rasool-guhneuc-moha-asystematicliteraturereviewonthedetectionofsmellsandtheirevolutioninobjectorientedandserviceorientedsystems-2019","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/SPE18.doc.pdf"},"keyword":["Topic: <b>Code and design smells</b>","Venue: <b>SPE</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"}}},"bibtype":"article","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","creationDate":"2019-09-07T15:45:56.375Z","downloads":0,"keywords":["topic: <b>code and design smells</b>","venue: <b>spe</b>"],"search_terms":["systematic","literature","review","detection","smells","evolution","object","oriented","service","oriented","systems","sabir","palma","rasool","gu�h�neuc","moha"],"title":"A Systematic Literature Review on the Detection of Smells and their Evolution in Object-Oriented and Service-Oriented Systems","year":2019,"dataSources":["8vn5MSGYWB4fAx9Z4"]}