Prediction of defect density for open source software using repository metrics D Verma, S Kumar Journal of Web Engineering, 293-310, 2017 | 26 | 2017 |
Analysis of Approach for Predicting Software Defect Density using Static Metrics SK Neeraj Mandhan, Dinesh Kumar Verma International Conference on Computing, Communication and Automation …, 2015 | 17* | 2015 |
An improved approach for reduction of defect density using optimal module sizes D Verma, S Kumar Advances in Software Engineering 2014, 4-4, 2014 | 14 | 2014 |
RETRACTED ARTICLE: Exponential Relationship Based Approach for Predictions of Defect Density Using Optimal Module Sizes DK Verma, S Kumar Proceedings of the National Academy of Sciences, India Section A: Physical …, 2016 | 7 | 2016 |
A hybrid model for prediction of software effort based on team size P Rai, DK Verma, S Kumar IET Software 15 (6), 365-375, 2021 | 4 | 2021 |
Prediction of software effort in the early stage of software development: a hybrid model P Rai, S Kumar, DK Verma IEEE Canadian Journal of Electrical and Computer Engineering 44 (3), 376-383, 2021 | 3 | 2021 |
Machine Learning Approaches in Deal with the COVID-19: Comprehensive Study S Dubeya, M Kumar, DK Verma ECS Transactions 107 (1), 17815, 2022 | 2 | 2022 |
Prediction of effort required to design software for smart city applications P Rai, S Kumar, DK Verma Journal of Physics: Conference Series 1714 (1), 012033, 2021 | 2 | 2021 |
An Analysis on Machine Learning Approaches for Sentiment Analysis BK Shrivash, DK Verma, P Pandey Smart Systems: Innovations in Computing 235, 499-513, 2021 | 2 | 2021 |
A hybrid machine learning framework for prediction of software effort at the initial phase of software development P Rai, S Kumar, DK Verma Advances in Computing and Data Sciences: 4th International Conference …, 2020 | 2 | 2020 |
Severe acute respiratory syndrome Coronavirus-2 GenoAnalyzer and mutagenic anomaly detector using FCMFI and NSCE S Dubey, DK Verma, M Kumar International Journal of Biological Macromolecules 258, 129051, 2024 | 1 | 2024 |
An Effective Framework for Sentiment Analysis of Hindi Sentiments Using Deep Learning Technique BK Shrivash, DK Verma, P Pandey Wireless Personal Communications 132 (3), 2097-2110, 2023 | 1 | 2023 |
An Effective Framework for Sentiment Analysis Using RNN and LSTM-Based Deep Learning Approaches BK Shrivash iD, DK Verma, P Pandey Advances in Computing and Data Sciences: 7th International Conference …, 2023 | 1 | 2023 |
Empirical study of defects dependency on software metrics using clustering approach D Verma, S Kumar IEEE UP Section Conference on Electrical Computer and Electronics, 1-5, 2016 | 1 | 2016 |
Plant Leaf Disease Detection Using an Optimized Evolutionary Gravitational Neocognitron Neural Network P Goyal, DK Verma, S Kumar National Academy Science Letters, 1-8, 2024 | | 2024 |
Performance evaluation of machine learning and deep learning approaches for sentiment analysis on COVID-19 sentiments MBK Shrivash, D Verma, P Pandey Tuijin Jishu/Journal of Propulsion Technology 44 (5), 4295-4311, 2023 | | 2023 |
Why Big Data and Data Analytics for Smart City S Dubey, A Mishra, DK Verma, PS Chauhan, R Nair, G Dikshit, N Gupta 2023 IEEE International Conference on Computer Vision and Machine …, 2023 | | 2023 |
Natural Language Processing to Improve Optimal Customized Treatment in Clinical Decision Support Systems S Malviya, S Dubey, DK Verma, A Sharma, R Nair, PS Chauhan 2023 IEEE International Conference on ICT in Business Industry & Government …, 2023 | | 2023 |
DIAGNOSIS OF PLANT LEAF DISEASES USING IMAGE BASED DETECTION AND PREDICTION USING MACHINE LEARNING APPROACH. P GOYAL, DK Verma, S Kumar Economic Computation & Economic Cybernetics Studies & Research 57 (4), 2023 | | 2023 |
Prediction of Software Effort Using Design Metrics: An Empirical Investigation P Rai, S Kumar, DK Verma Social Networking and Computational Intelligence: Proceedings of SCI-2018 …, 2020 | | 2020 |