Building empirical support for automated code smell detection

ESEM 2010 - Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

Volumn , Issue , 2010, Pages

  Schumacher, Jan ^a   Zazworka, Nico ^b   Shull, Forrest ^b   Seaman, Carolyn ^b,c   Shaw, Michele ^b  

^a UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b Fraunhofer Center   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

code inspection; code smells; empirical study; god class; maintainability

Indexed keywords

AGILE DEVELOPMENT ENVIRONMENTS; AUTOMATED CODE; AUTOMATED METRIC; AUTOMATIC CLASSIFICATION; AUTOMATIC DETECTION; CLASS-CODE; CODE INSPECTIONS; CODE SMELL; DETECTION ALGORITHM; DETECTION APPROACH; EMPIRICAL STUDIES; EMPIRICAL STUDY; GOD CLASS; PRE-SELECTION; PROFESSIONAL SOFTWARE; REFACTORINGS; SOFTWARE SYSTEMS;

MAINTAINABILITY; ODORS; SOFTWARE ENGINEERING;

INSPECTION;

EID: 78149252929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1852786.1852797     Document Type: Conference Paper

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