Discriminative pattern mining in software fault detection

Proceedings of the 3rd international workshop on Software quality assurance - SOQUA '06 ◽

10.1145/1188895.1188910 ◽

2006 ◽

Author(s):

Giuseppe Di Fatta ◽

Stefan Leue ◽

Evghenia Stegantova

Keyword(s):

Fault Detection ◽

Pattern Mining ◽

Software Fault ◽

Discriminative Pattern

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Modeling software fault detection and fault correction processes with incomplete test data

Industrial Electronics and Engineering ◽

10.2495/iciee140461 ◽

2014 ◽

Author(s):

Yu Liu ◽

Duo Li ◽

Chao Guo

Keyword(s):

Fault Detection ◽

Test Data ◽

Modeling Software ◽

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Reliability Growth Modeling for Software Fault Detection Using Particle Swarm Optimization

2006 IEEE International Conference on Evolutionary Computation ◽

10.1109/cec.2006.1688697 ◽

2006 ◽

Author(s):

A. Sheta

Keyword(s):

Particle Swarm Optimization ◽

Fault Detection ◽

Particle Swarm ◽

Growth Modeling ◽

Reliability Growth ◽

Swarm Optimization ◽

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A general modeling and analysis framework for software fault detection and correction process

Software Testing Verification and Reliability ◽

10.1002/stvr.1600 ◽

2016 ◽

Vol 26 (5) ◽

pp. 351-365 ◽

Author(s):

Yu Liu ◽

Duo Li ◽

Lujia Wang ◽

Qingpei Hu

Keyword(s):

Fault Detection ◽

Analysis Framework ◽

Modeling And Analysis ◽

Correction Process ◽

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Optimization Model of Software Fault Detection

Lecture Notes in Electrical Engineering - Proceedings of the 2012 International Conference on Information Technology and Software Engineering ◽

10.1007/978-3-642-34531-9_14 ◽

2012 ◽

pp. 129-136 ◽

Author(s):

Ye Jun-min ◽

Chen Ying-xiang ◽

Chen Jing-ru ◽

Feng Jia-jie

Keyword(s):

Fault Detection ◽

Optimization Model ◽

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Prediction of Software Fault Detection and Correction Processes With Time Series Analysis

2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM) ◽

10.1109/aparm49247.2020.9209402 ◽

2020 ◽

Author(s):

Yingchun LI ◽

Ye MA ◽

Rui PENG ◽

Kaiye GAO

Keyword(s):

Time Series ◽

Fault Detection ◽

Time Series Analysis ◽

Series Analysis ◽

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Quantifying the Effectiveness of Testing Efforts on Software Fault Detection with a Logit Software Reliability Growth Model

2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement ◽

10.1109/iwsm-mensura.2011.26 ◽

2011 ◽

Author(s):

Hiroyuki Okamura ◽

Yusuke Etani ◽

Tadashi Dohi

Keyword(s):

Fault Detection ◽

Growth Model ◽

Software Reliability ◽

Reliability Growth ◽

Software Reliability Growth Model ◽

Software Reliability Growth ◽

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Experimental study on feature selection methods for software fault detection

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) ◽

10.1109/iccpct.2016.7530156 ◽

2016 ◽

Author(s):

D. Asir Antony Gnana Singh ◽

A. Escalin Fernando ◽

E. Jebamalar Leavline

Keyword(s):

Experimental Study ◽

Feature Selection ◽

Fault Detection ◽

Selection Methods ◽

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User-behavior based software fault detection for device

2010 2nd International Conference on Computer Engineering and Technology ◽

10.1109/iccet.2010.5485543 ◽

2010 ◽

Author(s):

Lanlan Rui ◽

Shaoyong Guo ◽

Luoming Meng ◽

Ting Wu

Keyword(s):

Fault Detection ◽

User Behavior ◽

Software Fault ◽

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Constrained Logistic Regression for Discriminative Pattern Mining

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-23780-5_16 ◽

2011 ◽

pp. 92-107 ◽

Author(s):

Rajul Anand ◽

Chandan K. Reddy

Keyword(s):

Logistic Regression ◽

Pattern Mining ◽

Discriminative Pattern

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A software fault detection and recovery in CDMA systems

1997 IEEE International Conference on Personal Wireless Communications (Cat. No.97TH8338) ◽

10.1109/icpwc.1997.655575 ◽

2002 ◽

Author(s):

Young-Shik Lim ◽

Mi-Hee Kim ◽

Cheol-Hye Cho

Keyword(s):

Fault Detection ◽

Cdma Systems ◽

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