An empirical validation of object-oriented class complexity metrics and their ability to predict error-prone classes in highly iterative, or agile, software: A case study

Journal of Software Maintenance and Evolution

Volumn 20, Issue 3, 2008, Pages 171-197

  Olague, Hector M ^a,b   Etzkorn, Letha H ^b   Messimer, Sherri L ^c   Delugach, Harry S ^b  

^a U S ARMY SPACE AND MISSILE DEFENSE COMMAND   (United States)

^b University of Alabama in Huntsville ^*  (United States)

^c UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

Author keywords

Agile software development processes; Complexity metrics; Empirical validation; Fault proneness; Object oriented complexity metrics; Object oriented metrics

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; COMPUTER SOFTWARE SELECTION AND EVALUATION; FINANCIAL DATA PROCESSING; FOOD PROCESSING; MAINTAINABILITY; MATERIALS HANDLING; OBJECT ORIENTED PROGRAMMING; PRINCIPAL COMPONENT ANALYSIS; QUALITY ASSURANCE; REGRESSION ANALYSIS; RELIABILITY; SOFTWARE RELIABILITY; STANDARDS; STATISTICAL METHODS; STATISTICS;

(ALGORITHMIC) COMPLEXITY; (SPM) CLASSES; AGILE SOFTWARE DEVELOPMENT; AVERAGE METHOD; BINARY LOGISTIC REGRESSION; CASE STUDIES; CLASS COMPLEXITY; COMPLEXITY METRICS; DEFECT DATA; EMPIRICAL STUDIES; EMPIRICAL VALIDATION; ERROR PRONE; FAULT PRONE; IMPERATIVE PROGRAMMING LANGUAGES; JAVASCRIPT; METRICS (CO); OBJECT ORIENTED (OO); OBJECT-ORIENTED (OO) SOFTWARE; OPEN SOURCE IMPLEMENTATION; PREDICTIVE ABILITIES; PREDICTIVE POWER; PRINCIPAL COMPONENTS; SOFTWARE PROCESSING; STANDARD DEVIATION (STD); STATISTICAL TECHNIQUES; TESTING EFFORTS; WEIGHTED METHODS;

JAVA PROGRAMMING LANGUAGE;

EID: 46749124239     PISSN: 1532060X     EISSN: 15320618     Source Type: Journal    
DOI: 10.1002/smr.366     Document Type: Article

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