Arvinder Kaur

85 papers B 5C 1Journal 60Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improved PROMETHEE-based energy efficient host selection framework for cloud data centres.
Int. J. Grid Util. Comput.
Jagpreet Sidhu, Arvinder Kaur, Yugal Kumar, Pardeep Kumar
2025 J jnl
Smadasyn-boosted cross-project transfer learning for effective security fault prediction".
Evol. Intell.
Rashmi, Arvinder Kaur
2024 J jnl
An enhanced human learning optimisation algorithm for effective data clustering.
Int. J. Grid Util. Comput.
Jigyasa Goyal, Yugal Kumar, Pardeep Kumar, Arvinder Kaur
2024 — conf
Exploring CNN Model Optimization Strategies for Plant Disease Classification.
ICPR (Workshops and Challenges, 1)
Abhishek Dwivedi, Lalit Birla, Chiranjit Pal, Arvinder Kaur
2024 J jnl
Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges.
Artif. Intell. Rev.
Arvinder Kaur, Yugal Kumar, Jagpreet Sidhu
2023 J jnl
SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software.
J. Inf. Knowl. Manag.
Harguneet Kaur, Arvinder Kaur
2023 — conf
Summarization of Software Bug Report based on Sentence Semantic Similarity (SSBRSSS) Technique.
ICMLDE
Shubhra Goyal Jindal, Arvinder Kaur
2022 J jnl
A multi-objective vibrating particle system algorithm for data clustering.
Pattern Anal. Appl.
Arvinder Kaur, Yugal Kumar
2022 J jnl
A new metaheuristic algorithm based on water wave optimization for data clustering.
Evol. Intell.
Arvinder Kaur, Yugal Kumar
2022 J jnl
An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software.
Informatica (Slovenia)
Harguneet Kaur, Arvinder Kaur
2022 J jnl
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms.
Vietnam. J. Comput. Sci.
Rashmi Arora, Arvinder Kaur
2022 J jnl
Neighborhood search based improved bat algorithm for data clustering.
Appl. Intell.
Arvinder Kaur, Yugal Kumar
2021 J jnl
A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection.
IEEE Access
Inderpreet Kaur, Arvinder Kaur
2021 J jnl
Comparative analysis of software fault prediction using various categories of classifiers.
Int. J. Syst. Assur. Eng. Manag.
Inderpreet Kaur, Arvinder Kaur
2021 J jnl
Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing.
Int. J. Adv. Intell. Paradigms
Arun Prakash Agrawal, Arvinder Kaur
2021 B conf
TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks.
GLOBECOM
Deepanshu Garg, Arvinder Kaur, Abderrahim Benslimane, Rasmeet S. Bali, Neeraj Kumar, Sudeep Tanwar, Joel J. P. C. Rodrigues, Mohammad S. Obaidat
2020 J jnl
A novel Chaotic Flower Pollination-based intrusion detection framework.
Soft Comput.
Amrit Pal Singh, Arvinder Kaur, Saibal Kumar Pal
2020 J jnl
An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm.
Int. J. Distributed Syst. Technol.
Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur
2020 J jnl
An empirical comparison of predictive models for web page performance.
Inf. Softw. Technol.
Raghu Ramakrishnan, Arvinder Kaur
2020 J jnl
Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports.
IEEE Access
Shubhra Goyal Jindal, Arvinder Kaur
2020 J jnl
Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach.
Neural Comput. Appl.
Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur, Hari Mohan Pandey
2020 J jnl
Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering.
Appl. Soft Comput.
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
2020 J jnl
Information Retrieval from Software Bug Ontology Exploiting Formal Concept Analysis.
Computación y Sistemas
Shubhra Goyal Jindal, Arvinder Kaur
2020 J jnl
Performance evaluation of web service response time probability distribution models for business process cycle time simulation.
J. Syst. Softw.
Raghu Ramakrishnan, Arvinder Kaur
2019 J jnl
Little's law based validation framework for load testing.
Inf. Softw. Technol.
Raghu Ramakrishnan, Arvinder Kaur
2019 J jnl
Text analytics based severity prediction of software bugs for apache projects.
Int. J. Syst. Assur. Eng. Manag.
Arvinder Kaur, Shubhra Goyal Jindal
2018 — conf
An effective approach for regression test case selection using pareto based multi-objective harmony search.
SBST@ICSE
Ankur Choudhary, Arun Prakash Agrawal, Arvinder Kaur
2018 J jnl
An empirical evaluation of classification algorithms for fault prediction in open source projects.
J. King Saud Univ. Comput. Inf. Sci.
Arvinder Kaur, Inderpreet Kaur
2018 J jnl
Automatic test case generation through collaboration diagram: a case study.
Int. J. Syst. Assur. Eng. Manag.
Arvinder Kaur, Vidhi Vig
2018 — conf
Comparative Analysis of Chaotic Variant of Firefly Algorithm, Flower Pollination Algorithm and Dragonfly Algorithm for High Dimension Non-linear Test Functions.
IBICA
Amrit Pal Singh, Arvinder Kaur
2018 J jnl
Entropy Churn Metrics for Fault Prediction in Software Systems.
Entropy
Arvinder Kaur, Deepti Chopra
2018 J jnl
Hybridization of K-Means and Firefly Algorithm for intrusion detection system.
Int. J. Syst. Assur. Eng. Manag.
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
2018 J jnl
New chaotic flower pollination algorithm for unconstrained non-linear optimization functions.
Int. J. Syst. Assur. Eng. Manag.
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
2018 J jnl
Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms.
J. Intell. Fuzzy Syst.
Vidhi Vig, Arvinder Kaur
2017 — conf
Alternatives to VM consolidation techniques for energy aware cloud computing.
ICACCI
Arvinder Kaur, Anirudra Diwakar, Rohit Vashisht
2017 J jnl
An empirical study of software entropy based bug prediction using machine learning.
Int. J. Syst. Assur. Eng. Manag.
Arvinder Kaur, Kamaldeep Kaur, Deepti Chopra
2017 J jnl
Comparing and evaluating the effectiveness of mobile Web adequacy evaluation tools.
Univers. Access Inf. Soc.
Arvinder Kaur, Diksha Dani
2017 J jnl
Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study.
Electron. Gov. an Int. J.
Arvinder Kaur, Diksha Dani
2017 B conf
Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems.
ICPE
Raghu Ramakrishnan, Arvinder Kaur
2016 J jnl
Integrating firefly algorithm in artificial neural network models for accurate software cost predictions.
J. Softw. Evol. Process.
Anupama Kaushik, Devendra K. Tayal, Kalpana Yadav, Arvinder Kaur
2016 — conf
Predicting software change-proneness with code smells and class imbalance learning.
ICACCI
Arvinder Kaur, Kamaldeep Kaur, Shilpi Jain
2015 — conf
A key based security mechanism for payment status in cloud service access control system.
ICACCI
Gagandeep Kaur, Arvinder Kaur
2015 — conf
A new hybrid scheduling in cloud environment.
ICACCI
Komal, Arvinder Kaur
2015 J jnl
Performance Measurement and Analysis of High-Availability Clusters.
ACM SIGSOFT Softw. Eng. Notes
Arvinder Kaur, Shraddha Verma
2014 J jnl
A comparative study of models for predicting fault proneness in object-oriented systems.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2014 — conf
A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language.
ICACCI
Radhike Sawhney, Arvinder Kaur
2014 — conf
An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction.
ISI (1)
Arvinder Kaur, Kamaldeep Kaur
2014 J jnl
Grey relational effort analysis technique using regression methods for software estimation.
Int. Arab J. Inf. Technol.
Geeta Nagpal, Moin Uddin, Arvinder Kaur
2014 J jnl
Grey relational effort analysis technique using robust regression methods for individual projects.
Int. J. Comput. Intell. Stud.
Geeta Nagpal, Moin Uddin, Arvinder Kaur
2014 — conf
Performance analysis of ensemble learning for predicting defects in open source software.
ICACCI
Arvinder Kaur, Kamaldeep Kaur
2013 J jnl
Analyzing software effort estimation using k means clustered regression approach.
ACM SIGSOFT Softw. Eng. Notes
Geeta Nagpal, Moin Uddin, Arvinder Kaur
2013 J jnl
Statistical Comparison of Modelling Methods for Software Maintainability Prediction.
Int. J. Softw. Eng. Knowl. Eng.
Arvinder Kaur, Kamaldeep Kaur
2012 J jnl
A Comparative Study of Estimation by Analogy using Data Mining Techniques.
J. Inf. Process. Syst.
Geeta Nagpal, Moin Uddin, Arvinder Kaur
2012 — conf
A comparative study of two formal specification languages: Z-notation & B-method.
CCSEIT
Arvinder Kaur, Samridhi Gulati, Sarita Singh
2012 — conf
Empirical study of Software Quality estimation.
CCSEIT
Inderpreet Kaur, Arvinder Kaur
2012 J jnl
Impact of class attributes on cognitive complexity.
Int. J. Syst. Assur. Eng. Manag.
Kalpana Johari, Arvinder Kaur
2012 — conf
Interoperability issues in Web Services.
CCSEIT
Kalpana Johari, Arvinder Kaur
2012 — conf
Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People.
GHTC
Arvinder Kaur, Piyush Madan
2012 J jnl
Systematic Literature Review on Regression Test Prioritization Techniques.
Informatica (Slovenia)
Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal
2012 J jnl
Validation of object oriented metrics using open source software system: an empirical study.
ACM SIGSOFT Softw. Eng. Notes
Kalpana Johari, Arvinder Kaur
2011 J jnl
Effect of software evolution on software metrics: an open source case study.
ACM SIGSOFT Softw. Eng. Notes
Kalpana Johari, Arvinder Kaur
2010 J jnl
A Hybrid Approach for Regression Testing in Interprocedural Program.
J. Inf. Process. Syst.
Yogesh Singh, Arvinder Kaur, Bharti Suri
2010 J jnl
A Regression Test Selection and Prioritization Technique.
J. Inf. Process. Syst.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
Application of machine learning methods for software effort prediction.
ACM SIGSOFT Softw. Eng. Notes
Ruchika Malhotra, Arvinder Kaur, Guru Gobind Singh
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness models.
Softw. Qual. J.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2010 J jnl
Predicting Software Development Effort Using Artificial Neural Network.
Int. J. Softw. Eng. Knowl. Eng.
Yogesh Singh, Arvinder Kaur, Pradeep Kumar Bhatia, Omprakash Sangwan
2010 J jnl
Test case prioritization using ant colony optimization.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Arvinder Kaur, Bharti Suri
2009 — conf
Application of Neural Networks in Software Engineering: A Review.
ICISTM
Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan
2009 J jnl
Application of support vector machine to predict fault prone classes.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 — conf
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.
ICISTM
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Comparative analysis of regression and machine learning methods for predicting fault proneness models.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Empirical Validation of Variable based Test Case Prioritization/Selection Technique.
J. Digit. Content Technol. its Appl.
Yogesh Singh, Arvinder Kaur, Bharti Suri
2009 J jnl
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.
Softw. Process. Improv. Pract.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 B conf
Prediction of Software Quality Model Using Gene Expression Programming.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 — ch.
An Empirical Study of Product Metrics in Software Testing.
Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education
Yogesh Singh, Arvinder Kaur, Bharti Suri
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
XP
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 — conf
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.
Software Engineering Research and Practice
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Software Design Metrics for Object-Oriented Software.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2006 J jnl
Empirical Study of Object-Oriented Metrics.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2005 C conf
Software Reuse Metrics for Object-Oriented Systems.
SERA
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2004 J jnl
A neural net based approach to Test Oracle.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan
2004 J jnl
Code coverage based technique for prioritizing test cases for regression testing.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur