Follow
DEEPAK SHARMA
DEEPAK SHARMA
University of Delhi (INDIA)
Verified email at ipu.ac.in
Title
Cited by
Cited by
Year
Software fault prediction using machine-learning techniques
D Sharma, P Chandra
Smart computing and informatics, 541-549, 2018
242018
A comparative analysis of soft computing techniques in software fault prediction model development
D Sharma, P Chandra
International Journal of Information Technology 11 (1), 37-46, 2019
222019
Linear regression with factor analysis in fault prediction of software
D Sharma, P Chandra
Journal of Interdisciplinary Mathematics 23 (1), 11-19, 2020
152020
Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction
D Sharma, P Chandra
International Journal of System Assurance Engineering and Management 10 (6 …, 2019
62019
Applicability of soft computing and optimization algorithms in software testing and metrics–a brief review
D Sharma, P Chandra
International Conference on Soft Computing and Pattern Recognition, 535-546, 2016
42016
Efficient Fault Prediction Using Exploratory and Causal Techniques
D Sharma, P Chandra
2018 Second World Conference on Smart Trends in Systems, Security and …, 2018
32018
Soft Computing Based Software Testing–A Concise Travelogue
D Sharma, P Chandra
Proceedings of Sixth International Conference on Soft Computing for Problem …, 2017
32017
Change Detection in Remote Sensing Image Data Comparing Algebraic and Machine Learning Methods
HI Anjali Goswami, Deepak Sharma, Harani Mathuku, Syam Machinathu Parambil ...
Electronics 11 (431), 1-27, 2022
2*2022
Factors Analysis and Multiple Linear Regression for Fault Prediction in Software's
D Sharma, P Chandra
Journal of Advanced Research in Dynamical and Control Systems, 801-807, 2018
22018
EARLY DETECTION OF FACTORS, INCLUDING PANDEMICS AND DISASTERS, LEADING TO LANGUAGE ENDANGERMENT: THINKING STATISTICALLY
D Sharma
IARS'International Research Journal 11 (1), 31-35, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–10