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V Challagulla
V Challagulla
Verified email at utdallas.edu
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Cited by
Cited by
Year
Empirical assessment of machine learning based software defect prediction techniques
VUB Challagulla, FB Bastani, IL Yen, RA Paul
International Journal on Artificial Intelligence Tools 17 (02), 389-400, 2008
3472008
Channel scheduling algorithms using burst segmentation and FDLs for optical burst-switched networks
VM Vokkarane, GPV Thodime, VUB Challagulla, JP Jue
IEEE International Conference on Communications, 2003. ICC'03. 2, 1443-1447, 2003
662003
A unified framework for defect data analysis using the mbr technique
VUB Challagulla, FB Bastani, IL Yen
2006 18th IEEE International Conference on Tools with Artificial …, 2006
432006
A machine learning-based reliability assessment model for critical software systems
VUB Challagulla, FB Bastani, RA Paul, WT Tsai, Y Chen
31st Annual International Computer Software and Applications Conference …, 2007
222007
Defect-based reliability analysis for mission-critical software
RA Paul, F Bastani, IL Yen, VUB Challagulla
Proceedings 24th Annual International Computer Software and Applications …, 2000
152000
Paul (2005)“Empirical assessment of machine learning based software defect prediction techniques”
VUB Challagulla, FB Bastani, IL Yen
10th IEEE International Workshop on Object-Oriented Real-Time Dependable …, 0
10
Software measurement data analysis using memory-based reasoning
RA Paul, FB Bastani, VUB Challagulla, IL Yen
14th IEEE International Conference on Tools with Artificial Intelligence …, 2002
42002
A memory-based reasoning approach for assessing software quality
RA Paul, VUB Challagulla, FB Bastani, IL Yen
25th Annual International Computer Software and Applications Conference …, 2001
42001
Inherently safer analysis of the attainable region process for the adiabatic oxidation of sulfur dioxide
NL Book, VUB Challagulla
Computers & Chemical Engineering 24 (2-7), 1421-1427, 2000
42000
High-confidence compositional reliability assessment of soa-based systems using machine learning techniques
VUB Challagulla, FB Bastani, IL Yen
Machine Learning in Cyber Trust: Security, Privacy, and Reliability, 279-322, 2009
32009
11 High-Confidence Compositional Reliability Assessment of SOA-Based Systems Using Machine Learning Techniques Venkata UB Challagulla, Farokh B. Bastani, and I-Ling Yen¹
VUB Challagulla
Machine Learning in Cyber Trust: Security, Privacy, and Reliability, 279, 2009
2009
A machine learning-based approach for dynamic reliability assessment of mission critical software systems
VUB Challagulla
University of Texas at Dallas, 2007
2007
Inherently safer analysis of the attainable region process for the adiabatic oxidation of sulfur dioxide
VUB Challagulla
University of Missouri--Rolla, 2002
2002
Software quality assessment through defect-based testing and reliability analysis.
VUB Challagulla
1984
ICTAI 2006 Conference Schedule
SL Wang, YB Hou, JH Huang, ZQ Huang, EO Costa, A Pozo, ANH GA, ...
Defect-Based Reliability Analysis for Mission-Critical Software
RAPF Bastani, IL Yen, VUB Challagulla
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