Anil Kumar Tripathi

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 30

Top Topics

Class Imbalance

Software Defect Prediction

Safety Analysis

Top Venues

J. Supercomput.

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Sushant Kumar Pandey, Anil Kumar Tripathi
DBDNN-Estimator: A Cross-Project Number of Fault Estimation Technique. SN Comput. Sci. 5 (1) (2024)
Sushant Kumar Pandey, Anil Kumar Tripathi
Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation. AST (2023)
Manisha Singh, Gaurav Baranwal, Anil Kumar Tripathi
A novel 2-phase consensus with customized feedback based group decision-making involving heterogeneous decision-makers. J. Supercomput. 79 (4) (2023)
Amit Biswas, Ravi Yadav, Gaurav Baranwal, Anil Kumar Tripathi
Proof of Karma (PoK): A Novel Consensus Mechanism for Consortium Blockchain. IEEE Trans. Serv. Comput. 16 (4) (2023)
Manisha Singh, Gaurav Baranwal, Anil Kumar Tripathi
A Novel Tolerance-Based Moderator Guided Heterogeneous Group Decision-Making Involving Experts and End-Users. Int. J. Inf. Technol. Decis. Mak. 22 (4) (2023)
Manisha Singh, Gaurav Baranwal, Anil Kumar Tripathi
Decentralized group decision making using blockchain. J. Supercomput. 79 (17) (2023)
Manisha Singh, Gaurav Baranwal, Anil Kumar Tripathi
A Consensus Model to Manage Unavailability of Decision-Makers in Group Decision Making. SMC (2023)
Dipty Tripathi, Amit Biswas, Anil Kumar Tripathi, Lalit Kumar Singh, Amrita Chaturvedi
An integrated approach of designing functionality with security for distributed cyber-physical systems. J. Supercomput. 78 (13) (2022)
Amit Biswas, Gaurav Baranwal, Anil Kumar Tripathi
ABAC: Alternative by alternative comparison based multi-criteria decision making method. Expert Syst. Appl. 208 (2022)
Sushant Kumar Pandey, Anil Kumar Tripathi
DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction. Knowl. Based Syst. 233 (2021)
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
Machine learning based methods for software fault prediction: A survey. Expert Syst. Appl. 172 (2021)
Sushant Kumar Pandey, Anil Kumar Tripathi
An empirical study toward dealing with noise and class imbalance issues in software defect prediction. Soft Comput. 25 (21) (2021)
Amit Biswas, Ashish Kumar Maurya, Anil Kumar Tripathi, Samir Aknine
FRLLE: a failure rate and load-based leader election algorithm for a bidirectional ring in distributed systems. J. Supercomput. 77 (1) (2021)
Amit Biswas, Anil Kumar Tripathi, Samir Aknine
Lea-TN: leader election algorithm considering node and link failures in a torus network. J. Supercomput. 77 (11) (2021)
Amit Biswas, Anil Kumar Tripathi
Preselection Based Leader Election in Distributed Systems. IDC (2021)
Sushant Kumar Pandey, Deevashwer Rathee, Anil Kumar Tripathi
Software defect prediction using K-PCA and various kernel-based extreme learning machine: an empirical study. IET Softw. 14 (7) (2020)
Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi
Energy-aware scheduling using slack reclamation for cluster systems. Clust. Comput. 23 (2) (2020)
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques. Expert Syst. Appl. 144 (2020)
Sushant Kumar Pandey, Anil Kumar Tripathi
BCV-Predictor: A bug count vector predictor of a successive version of the software system. Knowl. Based Syst. 197 (2020)
Ashish Kumar Maurya, Anil Kumar Tripathi
ECP: a novel clustering-based technique to schedule precedence constrained tasks on multiprocessor computing systems. Computing 101 (8) (2019)
Ashish Kumar Maurya, Anil Kumar Tripathi
An edge priority-based clustering algorithm for multiprocessor environments. Concurr. Comput. Pract. Exp. 31 (11) (2019)
Ashish Kumar Maurya, Anil Kumar Tripathi
Deadline-constrained algorithms for scheduling of bag-of-tasks and workflows in cloud computing environments. HP3C (2018)
Ashish Kumar Maurya, Anil Kumar Tripathi
On benchmarking task scheduling algorithms for heterogeneous computing systems. J. Supercomput. 74 (7) (2018)
Vinay Kumar, Lalit Kumar Singh, Anil Kumar Tripathi
Reliability analysis of safety-critical and control systems: a state-of-the-art review. IET Softw. 12 (1) (2018)
Vinay Kumar, Lalit Kumar Singh, Anil Kumar Tripathi, Pooja Singh
Safety Analysis of Safety-Critical Systems Using State-Space Models. IEEE Softw. 34 (4) (2017)
Dharmendra Prasad Mahato, Ravi Shankar Singh, Anil Kumar Tripathi, Ashish Kumar Maurya
On scheduling transactions in a grid processing system considering load through Ant Colony Optimization. Appl. Soft Comput. 61 (2017)
Ashish Kumar Maurya, Anil Kumar Tripathi
Performance Comparison of HEFT, Lookahead, CEFT and PEFT Scheduling Algorithms for Heterogeneous Computing Systems. ICCCT (2017)
Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi
Early Prediction of Software Reliability: A Case Study with a Nuclear Power Plant System. Computer 49 (1) (2016)
Lalit Kumar Singh, Hitesh Rajput, Gopika Vinod, Anil Kumar Tripathi
Computing Transition Probability in Markov Chain for Early Prediction of Software Reliability. Qual. Reliab. Eng. Int. 32 (3) (2016)
Dharmendra Prasad Mahato, Ashish Kumar Maurya, Anil Kumar Tripathi, Ravi Shankar Singh
Dynamic and adaptive load balancing in transaction oriented grid service. ICGHPC (2016)
Abhishek Mishra, Anil Kumar Tripathi
Complexity of a problem of energy efficient real-time task scheduling on a multicore processor. Complex. 21 (1) (2015)
Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi
Approach for parameter estimation in Markov model of software reliability for early prediction: a case study. IET Softw. 9 (3) (2015)
Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi
Impact of change in component reliabilities on system reliability estimation. ACM SIGSOFT Softw. Eng. Notes 39 (3) (2014)
Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi
Reliability prediction through system modeling. ACM SIGSOFT Softw. Eng. Notes 38 (6) (2013)
Ratneshwer Gupta, Anil Kumar Tripathi
IIM-CBSE: an integrated maturity model for CBSE. Int. J. Comput. Appl. Technol. 46 (4) (2013)
Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi
Modeling and Prediction of Performability of Safety Critical Computer Based Systems Using Petri Nets. ISSRE Workshops (2012)
Pramod Kumar Mishra, Kamal Sheel Mishra, Abhishek Mishra, Anil Kumar Tripathi
A Randomized Scheduling Algorithm for Multiprocessor Environments. Parallel Process. Lett. 22 (4) (2012)
Lalit Kumar Singh, Anil Kumar Tripathi, Gopika Vinod
Software Reliability Early Prediction in Architectural Design Phase: Overview and Limitations. J. Softw. Eng. Appl. 4 (3) (2011)
Shyam S. Pandeya, Anil Kumar Tripathi
Testing Component-Based Software: What It has to do with Design and Component Selection. J. Softw. Eng. Appl. 4 (1) (2011)
Manjari Gupta, Akshara Pande, Anil Kumar Tripathi
Design patterns detection using SOP expressions for graphs. ACM SIGSOFT Softw. Eng. Notes 36 (1) (2011)
Akshara Pande, Manjari Gupta, Anil Kumar Tripathi
A New Approach for Detecting Design Patterns by Graph Decomposition and Graph Isomorphism. IC3 (2) (2010)
Divya Ranjan, Anil Kumar Tripathi
Testability Models for Object-Oriented Frameworks. J. Softw. Eng. Appl. 3 (6) (2010)
Akshara Pande, Manjari Gupta, Anil Kumar Tripathi
A Decision Tree Approach for Design Patterns Detection by Subgraph Isomorphism. ICT (2010)
Divya Ranjan, Anil Kumar Tripathi
Variability-Based Models for Testability Analysis of Frameworks. J. Softw. Eng. Appl. 3 (5) (2010)
Ratneshwer Gupta, Anil Kumar Tripathi
Dependence analysis of software component. ACM SIGSOFT Softw. Eng. Notes 35 (4) (2010)
Anil Kumar Tripathi, Ratneshwer Gupta
Some Observations on a Maturity Model for CBSE. ICECCS (2009)
Manjari Gupta, Ratneshwer Gupta, Anil Kumar Tripathi
An Exploratory Case Study in Designing and Implementing Tight Versus Loose Frameworks. J. Softw. Eng. Appl. 2 (3) (2009)
Anil Kumar Tripathi, Ratneshwer Gupta, Manjari Gupta
Some observations on software processes for CBSE. Softw. Process. Improv. Pract. 13 (5) (2008)
Anil Kumar Tripathi, Manjari Gupta
Risk analysis in reuse-oriented software development. Int. J. Inf. Technol. Manag. 5 (1) (2006)
Biplab Kumer Sarker, Anil Kumar Tripathi, Deo Prakash Vidyarthi, Laurence Tianruo Yang, Kuniaki Uehara
Multiple Tasks Allocation in Arbitrarily Connected Distributed Computing Systems Using A* Algorithm and Genetic Algorithm. ISPA Workshops (2006)
Biplab Kumer Sarker, Anil Kumar Tripathi, Deo Prakash Vidyarthi, Laurence Tianruo Yang, Kuniaki Uehara
Load Balanced Allocation of Multiple Tasks in a Distributed Computing System. EUC (2005)
Deo Prakash Vidyarthi, Anil Kumar Tripathi, Biplab Kumer Sarker, Abhishek Dhawan, Laurence Tianruo Yang
Cluster-Based Multiple Task Allocation in Distributed Computing System. IPDPS (2004)
Biplab Kumer Sarker, Anil Kumar Tripathi, Deo Prakash Vidyarthi, Laurence Tianruo Yang, Kuniaki Uehara
Considering Load. IEICE Trans. Inf. Syst. (7) (2004)
Deo Prakash Vidyarthi, Anil Kumar Tripathi
Maximizing reliability of distributed computing system with task allocation using simple genetic algorithm. J. Syst. Archit. 47 (6) (2001)
Anil Kumar Tripathi, Biplab Kumer Sarker, Naveen Kumar, Deo Prakash Vidyarthi
A GA Based Multiple Task Allocation Considering Load. Int. J. High Speed Comput. 11 (4) (2000)
Deo Prakash Vidyarthi, Anil Kumar Tripathi
Precedence-Constrained Task Allocation in Distributed Computing Systems. Int. J. High Speed Comput. 8 (1) (1996)
Anil Kumar Tripathi, Deo Prakash Vidyarthi, A. N. Mantri
A Genetic Task Allocation Algorithm for Distributed Computing Systems Incorporating Problem Specific Knowledge. Int. J. High Speed Comput. 8 (4) (1996)