Arvinder Kaur
According to our database1,
Arvinder Kaur
authored at least 80 papers
between 2004 and 2024.
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Bibliography
2024
Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges.
Artif. Intell. Rev., October, 2024
Int. J. Grid Util. Comput., 2024
2023
SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software.
J. Inf. Knowl. Manag., October, 2023
2022
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms.
Vietnam. J. Comput. Sci., 2022
Pattern Anal. Appl., 2022
An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software.
Informatica (Slovenia), 2022
Evol. Intell., 2022
Appl. Intell., 2022
2021
Comparative analysis of software fault prediction using various categories of classifiers.
Int. J. Syst. Assur. Eng. Manag., 2021
Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing.
Int. J. Adv. Intell. Paradigms, 2021
A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection.
IEEE Access, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Soft Comput., 2020
Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach.
Neural Comput. Appl., 2020
Performance evaluation of web service response time probability distribution models for business process cycle time simulation.
J. Syst. Softw., 2020
Inf. Softw. Technol., 2020
An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm.
Int. J. Distributed Syst. Technol., 2020
Computación y Sistemas, 2020
Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering.
Appl. Soft Comput., 2020
IEEE Access, 2020
2019
Int. J. Syst. Assur. Eng. Manag., 2019
2018
Int. J. Syst. Assur. Eng. Manag., 2018
Int. J. Syst. Assur. Eng. Manag., 2018
New chaotic flower pollination algorithm for unconstrained non-linear optimization functions.
Int. J. Syst. Assur. Eng. Manag., 2018
An empirical evaluation of classification algorithms for fault prediction in open source projects.
J. King Saud Univ. Comput. Inf. Sci., 2018
Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms.
J. Intell. Fuzzy Syst., 2018
An effective approach for regression test case selection using pareto based multi-objective harmony search.
Proceedings of the 11th International Workshop on Search-Based Software Testing, 2018
Comparative Analysis of Chaotic Variant of Firefly Algorithm, Flower Pollination Algorithm and Dragonfly Algorithm for High Dimension Non-linear Test Functions.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018
2017
Univers. Access Inf. Soc., 2017
Int. J. Syst. Assur. Eng. Manag., 2017
Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study.
Electron. Gov. an Int. J., 2017
Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
2016
Integrating firefly algorithm in artificial neural network models for accurate software cost predictions.
J. Softw. Evol. Process., 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2015
ACM SIGSOFT Softw. Eng. Notes, 2015
Proceedings of the 2015 International Conference on Advances in Computing, 2015
A key based security mechanism for payment status in cloud service access control system.
Proceedings of the 2015 International Conference on Advances in Computing, 2015
2014
Grey relational effort analysis technique using robust regression methods for individual projects.
Int. J. Comput. Intell. Stud., 2014
A comparative study of models for predicting fault proneness in object-oriented systems.
Int. J. Comput. Appl. Technol., 2014
Grey relational effort analysis technique using regression methods for software estimation.
Int. Arab J. Inf. Technol., 2014
An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction.
Proceedings of the Advances in Intelligent Informatics, 2014
A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language.
Proceedings of the 2014 International Conference on Advances in Computing, 2014
Performance analysis of ensemble learning for predicting defects in open source software.
Proceedings of the 2014 International Conference on Advances in Computing, 2014
2013
ACM SIGSOFT Softw. Eng. Notes, 2013
Int. J. Softw. Eng. Knowl. Eng., 2013
2012
Validation of object oriented metrics using open source software system: an empirical study.
ACM SIGSOFT Softw. Eng. Notes, 2012
Int. J. Syst. Assur. Eng. Manag., 2012
J. Inf. Process. Syst., 2012
Informatica (Slovenia), 2012
Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People.
Proceedings of the 2012 IEEE Global Humanitarian Technology Conference, 2012
Proceedings of the Second International Conference on Computational Science, 2012
Proceedings of the Second International Conference on Computational Science, 2012
Proceedings of the Second International Conference on Computational Science, 2012
2011
ACM SIGSOFT Softw. Eng. Notes, 2011
2010
Empirical validation of object-oriented metrics for predicting fault proneness models.
Softw. Qual. J., 2010
ACM SIGSOFT Softw. Eng. Notes, 2010
ACM SIGSOFT Softw. Eng. Notes, 2010
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.
Int. J. Syst. Assur. Eng. Manag., 2010
J. Inf. Process. Syst., 2010
J. Inf. Process. Syst., 2010
Int. J. Softw. Eng. Knowl. Eng., 2010
2009
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.
Softw. Process. Improv. Pract., 2009
ACM SIGSOFT Softw. Eng. Notes, 2009
J. Digit. Content Technol. its Appl., 2009
Comparative analysis of regression and machine learning methods for predicting fault proneness models.
Int. J. Comput. Appl. Technol., 2009
Proceedings of the Product-Focused Software Process Improvement, 2009
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.
Proceedings of the Information Systems, Technology and Management, 2009
Proceedings of the Information Systems, Technology and Management, 2009
2008
Proceedings of the Innovative Techniques in Instruction Technology, 2008
Proceedings of the Product-Focused Software Process Improvement, 2008
2007
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.
J. Object Technol., 2007
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007
2006
2005
Proceedings of the Third ACIS International Conference on Software Engineering, 2005
2004
ACM SIGSOFT Softw. Eng. Notes, 2004