From a Domain Analysis to the Specification and Detection of Topic: Code and design smells ; Rubrique : mauvaises pratiques

From a Domain Analysis to the Specification and Detection of Topic: Code and design smells ; Rubrique : mauvaises pratiques. Moha, N., Gu�h�neuc, Y., Le Meur, A., Duchien, L., & Tiberghien, A. Formal Aspects of Computing (FAC), 22(3):345–368, Springer, May, 2010. 23 pages.

Paper abstract bibtex

Topic: Code and design smells ; Rubrique : mauvaises pratiques are recurring design problems in software systems that need to be identified to avoid their possible negative consequences in development and maintenance. Consequently, several smell detection approaches and tools have been proposed in the literature. However, so far, they allow the detection of predefined smells but the detection of new smells or smells adapted to the context of the analysed systems is possible only by implementing new detection algorithms manually. Moreover, previous approaches do not explain the transition from specifications of smells to their detection. Finally, the validation of the existing detection approaches and tools has been limited on few proprietary systems and on a reduced number of smells. In this paper, we introduce an approach to automate the generation of detection algorithms from specifications written using a domain-specific language. This language is defined from a thorough domain analysis. It allows the specification of smells using high-level domain-related abstractions. It allows the adaptation of the specifications of smells to the context of the analysed systems. We specify 10 smells, generate automatically their detection algorithms using templates, and validate the algorithms in terms of precision and recall on Xerces v2.7.0 and GanttProject v1.10.2, two open-source object-oriented systems.

@ARTICLE{Moha09-FAC-DDDomainAnalysis,
   AUTHOR       = {Naouel Moha and Yann-Ga�l Gu�h�neuc and 
      Le Meur, Anne-Fran�oise and Laurence Duchien and Alban Tiberghien},
   JOURNAL      = {Formal Aspects of Computing (FAC)},
   TITLE        = {From a Domain Analysis to the Specification and 
      Detection of Topic: <b>Code and design smells</b> ; Rubrique : 
      <b>mauvaises pratiques</b>},
   YEAR         = {2010},
   MONTH        = {May},
   NOTE         = {23 pages.},
   NUMBER       = {3},
   PAGES        = {345&ndash;368},
   VOLUME       = {22},
   EDITOR       = {Jos� Luiz Fiadeiro},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Rubrique : <b>mauvaises pratiques</b>, Journal: <b>FAC</b>},
   PUBLISHER    = {Springer},
   URL          = {http://www.ptidej.net/publications/documents/FAC09.doc.pdf},
   ABSTRACT     = {Topic: <b>Code and design smells</b> ; Rubrique : 
      <b>mauvaises pratiques</b> are recurring design problems in software 
      systems that need to be identified to avoid their possible negative 
      consequences in development and maintenance. Consequently, several 
      smell detection approaches and tools have been proposed in the 
      literature. However, so far, they allow the detection of predefined 
      smells but the detection of new smells or smells adapted to the 
      context of the analysed systems is possible only by implementing new 
      detection algorithms manually. Moreover, previous approaches do not 
      explain the transition from specifications of smells to their 
      detection. Finally, the validation of the existing detection 
      approaches and tools has been limited on few proprietary systems and 
      on a reduced number of smells. In this paper, we introduce an 
      approach to automate the generation of detection algorithms from 
      specifications written using a domain-specific language. This 
      language is defined from a thorough domain analysis. It allows the 
      specification of smells using high-level domain-related abstractions. 
      It allows the adaptation of the specifications of smells to the 
      context of the analysed systems. We specify 10 smells, generate 
      automatically their detection algorithms using templates, and 
      validate the algorithms in terms of precision and recall on Xerces 
      v2.7.0 and GanttProject v1.10.2, two open-source object-oriented 
      systems.}
}

Downloads: 0

{"_id":"MKMeKF2JEsy2DLoFL","bibbaseid":"moha-guhneuc-lemeur-duchien-tiberghien-fromadomainanalysistothespecificationanddetectionoftopicbcodeanddesignsmellsbrubriquebmauvaisespratiquesb-2010","author_short":["Moha, N.","Gu�h�neuc, Y.","Le Meur, A.","Duchien, L.","Tiberghien, A."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Naouel"],"propositions":[],"lastnames":["Moha"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"propositions":[],"lastnames":["Le","Meur"],"firstnames":["Anne-Fran�oise"],"suffixes":[]},{"firstnames":["Laurence"],"propositions":[],"lastnames":["Duchien"],"suffixes":[]},{"firstnames":["Alban"],"propositions":[],"lastnames":["Tiberghien"],"suffixes":[]}],"journal":"Formal Aspects of Computing (FAC)","title":"From a Domain Analysis to the Specification and Detection of Topic: Code and design smells ; Rubrique : mauvaises pratiques","year":"2010","month":"May","note":"23 pages.","number":"3","pages":"345–368","volume":"22","editor":[{"firstnames":["Jos�","Luiz"],"propositions":[],"lastnames":["Fiadeiro"],"suffixes":[]}],"keywords":"Topic: Code and design smells, Rubrique : mauvaises pratiques, Journal: FAC","publisher":"Springer","url":"http://www.ptidej.net/publications/documents/FAC09.doc.pdf","abstract":"Topic: Code and design smells ; Rubrique : mauvaises pratiques are recurring design problems in software systems that need to be identified to avoid their possible negative consequences in development and maintenance. Consequently, several smell detection approaches and tools have been proposed in the literature. However, so far, they allow the detection of predefined smells but the detection of new smells or smells adapted to the context of the analysed systems is possible only by implementing new detection algorithms manually. Moreover, previous approaches do not explain the transition from specifications of smells to their detection. Finally, the validation of the existing detection approaches and tools has been limited on few proprietary systems and on a reduced number of smells. In this paper, we introduce an approach to automate the generation of detection algorithms from specifications written using a domain-specific language. This language is defined from a thorough domain analysis. It allows the specification of smells using high-level domain-related abstractions. It allows the adaptation of the specifications of smells to the context of the analysed systems. We specify 10 smells, generate automatically their detection algorithms using templates, and validate the algorithms in terms of precision and recall on Xerces v2.7.0 and GanttProject v1.10.2, two open-source object-oriented systems.","bibtex":"@ARTICLE{Moha09-FAC-DDDomainAnalysis,\r\n AUTHOR = {Naouel Moha and Yann-Ga�l Gu�h�neuc and \r\n Le Meur, Anne-Fran�oise and Laurence Duchien and Alban Tiberghien},\r\n JOURNAL = {Formal Aspects of Computing (FAC)},\r\n TITLE = {From a Domain Analysis to the Specification and \r\n Detection of Topic: Code and design smells ; Rubrique : \r\n mauvaises pratiques},\r\n YEAR = {2010},\r\n MONTH = {May},\r\n NOTE = {23 pages.},\r\n NUMBER = {3},\r\n PAGES = {345–368},\r\n VOLUME = {22},\r\n EDITOR = {Jos� Luiz Fiadeiro},\r\n KEYWORDS = {Topic: Code and design smells, \r\n Rubrique : mauvaises pratiques, Journal: FAC},\r\n PUBLISHER = {Springer},\r\n URL = {http://www.ptidej.net/publications/documents/FAC09.doc.pdf},\r\n ABSTRACT = {Topic: Code and design smells ; Rubrique : \r\n mauvaises pratiques are recurring design problems in software \r\n systems that need to be identified to avoid their possible negative \r\n consequences in development and maintenance. Consequently, several \r\n smell detection approaches and tools have been proposed in the \r\n literature. However, so far, they allow the detection of predefined \r\n smells but the detection of new smells or smells adapted to the \r\n context of the analysed systems is possible only by implementing new \r\n detection algorithms manually. Moreover, previous approaches do not \r\n explain the transition from specifications of smells to their \r\n detection. Finally, the validation of the existing detection \r\n approaches and tools has been limited on few proprietary systems and \r\n on a reduced number of smells. In this paper, we introduce an \r\n approach to automate the generation of detection algorithms from \r\n specifications written using a domain-specific language. This \r\n language is defined from a thorough domain analysis. It allows the \r\n specification of smells using high-level domain-related abstractions. \r\n It allows the adaptation of the specifications of smells to the \r\n context of the analysed systems. We specify 10 smells, generate \r\n automatically their detection algorithms using templates, and \r\n validate the algorithms in terms of precision and recall on Xerces \r\n v2.7.0 and GanttProject v1.10.2, two open-source object-oriented \r\n systems.}\r\n}\r\n\r\n","author_short":["Moha, N.","Gu�h�neuc, Y.","Le Meur, A.","Duchien, L.","Tiberghien, A."],"editor_short":["Fiadeiro, J. L."],"key":"Moha09-FAC-DDDomainAnalysis","id":"Moha09-FAC-DDDomainAnalysis","bibbaseid":"moha-guhneuc-lemeur-duchien-tiberghien-fromadomainanalysistothespecificationanddetectionoftopicbcodeanddesignsmellsbrubriquebmauvaisespratiquesb-2010","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/FAC09.doc.pdf"},"keyword":["Topic: Code and design smells","Rubrique : mauvaises pratiques","Journal: FAC"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","dataSources":["8vn5MSGYWB4fAx9Z4"],"keywords":["topic: code and design smells","rubrique : mauvaises pratiques","journal: fac"],"search_terms":["domain","analysis","specification","detection","topic","code","design","smells","rubrique","mauvaises","pratiques","moha","gu�h�neuc","le meur","duchien","tiberghien"],"title":"From a Domain Analysis to the Specification and Detection of Topic: Code and design smells ; Rubrique : mauvaises pratiques","year":2010}