Software quality knowledge discovery: a rough set approach
暂无分享,去创建一个
[1] Witold Pedrycz,et al. Calibration of software quality: Fuzzy neural and rough neural computing approaches , 2001, Neurocomputing.
[2] Taghi M. Khoshgoftaar,et al. NEURAL NETWORKS FOR SOFTWARE QUALITY PREDICTION , 1998 .
[3] Gian Luigi Ferrari,et al. Parameterized Structured Operational Semantics , 1998, Fundam. Informaticae.
[4] Andrzej Skowron,et al. Rough-Neural Computing: Techniques for Computing with Words , 2004, Cognitive Technologies.
[5] Andrzej Skowron,et al. Towards Discovery of Relevant Patterns from Parameterized Schemes of Information Granule Construction , 2003 .
[6] J. Stepaniuk,et al. Information granules in spatial reasoning , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[7] Andrzej Skowron,et al. Information Granulation and Pattern Recognition , 2004, Rough-Neural Computing: Techniques for Computing with Words.
[8] James F. Peters,et al. Line-crawling robot navigation: a rough neurocomputing approach , 2003 .
[9] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[10] Taghi M. Khoshgoftaar,et al. Regression modelling of software quality: empirical investigation☆ , 1990 .
[11] Barbara A. Kitchenham,et al. Towards a constructive quality model. Part 1: Software quality modelling, measurement and prediction , 1987, Softw. Eng. J..
[12] Andrzej Skowron,et al. Rough Measures, Rough Integrals and Sensor Fusion , 2003 .
[13] Andrzej Skowron,et al. Rough-Neuro Computing , 2000, Rough Sets and Current Trends in Computing.
[14] Victor R. Basili,et al. A Pattern Recognition Approach for Software Engineering Data Analysis , 1992, IEEE Trans. Software Eng..
[15] Andrzej Skowron,et al. Extracting Patterns Using Information Granules: A Brief Introduction , 2001, JSAI Workshops.
[16] Witold Pedrycz,et al. Computational intelligence in software engineering , 1997, CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings.
[17] Andrzej Skowron,et al. A rough set approach to knowledge discovery , 2002, International Journal of Intelligent Systems.
[18] Norman E. Fenton,et al. Software Metrics: A Rigorous Approach , 1991 .
[19] Andrzej Skowron,et al. APPROXIMATE SENSOR FUSION IN A NAVIGATION AGENT , 2001 .
[20] Zbigniew Suraj,et al. Rough Neurons: Petri Net Models and Applications , 2004, Rough-Neural Computing: Techniques for Computing with Words.
[21] Andrzej Skowron,et al. Sensor, Filter, and Fusion Models with Rough Petri Nets , 2001, Fundam. Informaticae.
[22] E. Pedrycz. COMPUTATIONAL INTELLIGENCE AND SOFTWARE ENGINEERING: A BIBLIOGRAPHY AND WWW RESOURCES , 1998 .
[23] Taghi M. Khoshgoftaar,et al. Predictive Modeling Techniques of Software Quality from Software Measures , 1992, IEEE Trans. Software Eng..
[24] Andrzej Skowron,et al. Sensor fusion: a rough Petri net model , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).