K. K. Chaturvedi

According to our database, K. K. Chaturvedi authored at least 16 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A Novel Way of Comparing Protein 3D Structure Using Graph Partitioning Approach.

Ulavappa B. Angadi, Krishna Kumar Chaturvedi, Sudhir Srivastava, Anil Rai

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2019

A Comparative Study of Single-Trait and Multi-Trait Genomic Selection.

Neeraj Budhlakoti, Dwijesh Chandra Mishra, Anil Rai, Shashi Bhushan Lal, Krishna Kumar Chaturvedi, Rajeev Ranjan Kumar

J. Comput. Biol., 2019

RiceMetaSysB: a database of blast and bacterial blight responsive genes in rice and its utilization in identifying key blast-resistant WRKY genes.

V. Sureshkumar, Bipratip Dutta, Vishesh Kumar, G. Prakash, Dwijesh Chandra Mishra, K. K. Chaturvedi, Anil Rai, Amitha Mithra S. V., Amolkumar U. Solanke

Database J. Biol. Databases Curation, 2019

2017

Complexity of the Code Changes and Issues Dependent Approach to Determine the Release Time of Software Product.

V. B. Singh, K. K. Chaturvedi, Sujata Khatri, Meera Sharma

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016

An efficient algorithm for protein structure comparison using elastic shape analysis.

Sudhir Srivastava, Shashi Bhushan Lal, Dwijesh Chandra Mishra, Ulavappa B. Angadi, K. K. Chaturvedi, Shesh N. Rai, Anil Rai

Algorithms Mol. Biol., 2016

2015

Bug prediction modeling using complexity of code changes.

V. B. Singh, K. K. Chaturvedi, Sunil Kumar Khatri, Vijay Kumar

Int. J. Syst. Assur. Eng. Manag., 2015

2014

Predicting the complexity of code changes using entropy based measures.

K. K. Chaturvedi, P. K. Kapur, Sameer Anand, V. B. Singh

Int. J. Syst. Assur. Eng. Manag., 2014

The Halophile Protein Database.

Naveen Sharma, Mohammad Samir Farooqi, Krishna Kumar Chaturvedi, Shashi Bhushan Lal, Monendra Grover, Anil Rai, Pankaj Pandey

Database J. Biol. Databases Curation, 2014

2013

Bug prediction using entropy-based measures.

K. K. Chaturvedi, V. B. Singh

Int. J. Knowl. Eng. Data Min., 2013

Improving the Quality of Software by Quantifying the Code Change Metric and Predicting the Bugs.

V. B. Singh, K. K. Chaturvedi

Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

Tools in Mining Software Repositories.

K. K. Chaturvedi, V. B. Singh, Prashast Singh

Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software.

K. K. Chaturvedi, Punam Bedi, Sanjay Misra, V. B. Singh

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012

An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects.

K. K. Chaturvedi, V. B. Singh

Int. J. Open Source Softw. Process., 2012

Entropy based bug prediction using support vector regression.

V. B. Singh, K. K. Chaturvedi

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Predicting the priority of a reported bug using machine learning techniques and cross project validation.

Meera Sharma, Punam Bedi, K. K. Chaturvedi, V. B. Singh

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2007

Knowledge Engineering for an Expert System on Wheat Crop Management.

S. N. Islam, K. K. Chaturvedi, Hari Om Agarwal, M. S. Farooqi, Kirti Sharma, Adesh K. Sharma, Randhir Singh, R. K. Sharma, H. S. Sikarwar

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007