An empirical study of software reliability prediction using machine learning techniques

International Journal of System Assurance Engineering and Management

Volumn 3, Issue 3, 2012, Pages 194-208

  Kumar, Pradeep ^a   Singh, Yogesh ^b  

^a IEC CET   (India)

^b M S UNIVERSITY OF BARODA   (India)

Author keywords

Artificial neural networks; Decision trees; Machine learning techniques; Software reliability; Support vector machine

Indexed keywords

APPLICATION PROGRAMS; DECISION TREES; FORECASTING; FORESTRY; FUZZY INFERENCE; LEARNING SYSTEMS; LIFE CYCLE; MEAN SQUARE ERROR; NEURAL NETWORKS; PREDICTIVE ANALYTICS; RELIABILITY ANALYSIS; SUPPORT VECTOR MACHINES;

CASCADE CORRELATION NEURAL NETWORKS; CORRELATION COEFFICIENT; FUZZY INFERENCE SYSTEMS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; RELIABILITY PREDICTION; ROOT MEAN SQUARED ERRORS; STATISTICAL TECHNIQUES;

SOFTWARE RELIABILITY;

ALGORITHMS; COMPUTER PROGRAMS; DECISION THEORY; FORECASTS; MATHEMATICAL MODELS; NEURAL NETWORKS; RELIABILITY;

EID: 84868624158     PISSN: 09756809     EISSN: 09764348     Source Type: Journal    
DOI: 10.1007/s13198-012-0123-8     Document Type: Article

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