Practical considerations in deploying AI for defect prediction: A case study within the Turkish telecommunication industry

ACM International Conference Proceeding Series

Volumn , Issue , 2009, Pages

  Tosun, Ayşe ^a   Turhan, Burak ^b   Bener, Ayşe ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

AI methods; experience report; prediction; software defect prediction; static code attributes

Indexed keywords

AI TECHNIQUES; BUG TRACKING; CODE ANALYSIS; CODE QUALITY; DEFECT PREDICTION; DETECTION RATES; EXPERIENCE REPORT; FALSE ALARMS; HISTORICAL DATA; RESEARCH EXPERIENCE; SOFTWARE DEFECT PREDICTION; SOFTWARE MEASUREMENT PROGRAMS; SPECIFIC PROBLEMS; STATIC CODES; TELECOMMUNICATION COMPANIES; TURKISHS; VERSION MANAGEMENT SYSTEMS;

COMPUTER SOFTWARE; DEFECTS; ERRORS; MANAGEMENT; MODELS; TELECOMMUNICATION INDUSTRY;

FORECASTING;

EID: 77953860933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1540438.1540453     Document Type: Conference Paper

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