Arvinder Kaur

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 36

Top Topics

Test Case Selection

Software Systems

Firefly Algorithm

Data Clustering

Top Venues

Int. J. Syst. Assur. Eng. Manag.

Inf. Softw. Technol.

Publications

Jigyasa Goyal, Yugal Kumar, Pardeep Kumar, Arvinder Kaur
An enhanced human learning optimisation algorithm for effective data clustering. Int. J. Grid Util. Comput. 15 (2) (2024)
Harguneet Kaur, Arvinder Kaur
SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software. J. Inf. Knowl. Manag. 22 (5) (2023)
Arvinder Kaur, Yugal Kumar
Neighborhood search based improved bat algorithm for data clustering. Appl. Intell. 52 (9) (2022)
Arvinder Kaur, Yugal Kumar
A multi-objective vibrating particle system algorithm for data clustering. Pattern Anal. Appl. 25 (1) (2022)
Arvinder Kaur, Yugal Kumar
A new metaheuristic algorithm based on water wave optimization for data clustering. Evol. Intell. 15 (1) (2022)
Harguneet Kaur, Arvinder Kaur
An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software. Informatica (Slovenia) 46 (8) (2022)
Rashmi Arora, Arvinder Kaur
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms. Vietnam. J. Comput. Sci. 9 (3) (2022)
Inderpreet Kaur, Arvinder Kaur
A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection. IEEE Access 9 (2021)
Inderpreet Kaur, Arvinder Kaur
Comparative analysis of software fault prediction using various categories of classifiers. Int. J. Syst. Assur. Eng. Manag. 12 (3) (2021)
Arun Prakash Agrawal, Arvinder Kaur
Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing. Int. J. Adv. Intell. Paradigms 18 (2) (2021)
Deepanshu Garg, Arvinder Kaur, Abderrahim Benslimane, Rasmeet S. Bali, Neeraj Kumar, Sudeep Tanwar, Joel J. P. C. Rodrigues, Mohammad S. Obaidat
TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks. GLOBECOM (2021)
Shubhra Goyal Jindal, Arvinder Kaur
Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports. IEEE Access 8 (2020)
Shubhra Goyal Jindal, Arvinder Kaur
Information Retrieval from Software Bug Ontology Exploiting Formal Concept Analysis. Computación y Sistemas 24 (2) (2020)
Amrit Pal Singh, Arvinder Kaur, Saibal Kumar Pal
A novel Chaotic Flower Pollination-based intrusion detection framework. Soft Comput. 24 (21) (2020)
Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur, Hari Mohan Pandey
Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach. Neural Comput. Appl. 32 (12) (2020)
Raghu Ramakrishnan, Arvinder Kaur
An empirical comparison of predictive models for web page performance. Inf. Softw. Technol. 123 (2020)
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering. Appl. Soft Comput. 97 (Part B) (2020)
Raghu Ramakrishnan, Arvinder Kaur
Performance evaluation of web service response time probability distribution models for business process cycle time simulation. J. Syst. Softw. 161 (2020)
Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur
An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm. Int. J. Distributed Syst. Technol. 11 (1) (2020)
Raghu Ramakrishnan, Arvinder Kaur
Little's law based validation framework for load testing. Inf. Softw. Technol. 108 (2019)
Arvinder Kaur, Shubhra Goyal Jindal
Text analytics based severity prediction of software bugs for apache projects. Int. J. Syst. Assur. Eng. Manag. 10 (4) (2019)
Vidhi Vig, Arvinder Kaur
Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms. J. Intell. Fuzzy Syst. 35 (2) (2018)
Ankur Choudhary, Arun Prakash Agrawal, Arvinder Kaur
An effective approach for regression test case selection using pareto based multi-objective harmony search. SBST@ICSE (2018)
Amrit Pal Singh, Arvinder Kaur
Comparative Analysis of Chaotic Variant of Firefly Algorithm, Flower Pollination Algorithm and Dragonfly Algorithm for High Dimension Non-linear Test Functions. IBICA (2018)
Arvinder Kaur, Deepti Chopra
Entropy Churn Metrics for Fault Prediction in Software Systems. Entropy 20 (12) (2018)
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
New chaotic flower pollination algorithm for unconstrained non-linear optimization functions. Int. J. Syst. Assur. Eng. Manag. 9 (4) (2018)
Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh
Hybridization of K-Means and Firefly Algorithm for intrusion detection system. Int. J. Syst. Assur. Eng. Manag. 9 (4) (2018)
Arvinder Kaur, Vidhi Vig
Automatic test case generation through collaboration diagram: a case study. Int. J. Syst. Assur. Eng. Manag. 9 (2) (2018)
Arvinder Kaur, Inderpreet Kaur
An empirical evaluation of classification algorithms for fault prediction in open source projects. J. King Saud Univ. Comput. Inf. Sci. 30 (1) (2018)
Raghu Ramakrishnan, Arvinder Kaur
Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems. ICPE (2017)
Arvinder Kaur, Diksha Dani
Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study. Electron. Gov. an Int. J. 13 (1) (2017)
Arvinder Kaur, Kamaldeep Kaur, Deepti Chopra
An empirical study of software entropy based bug prediction using machine learning. Int. J. Syst. Assur. Eng. Manag. 8 (2s) (2017)
Arvinder Kaur, Anirudra Diwakar, Rohit Vashisht
Alternatives to VM consolidation techniques for energy aware cloud computing. ICACCI (2017)
Arvinder Kaur, Diksha Dani
Comparing and evaluating the effectiveness of mobile Web adequacy evaluation tools. Univers. Access Inf. Soc. 16 (2) (2017)
Anupama Kaushik, Devendra K. Tayal, Kalpana Yadav, Arvinder Kaur
Integrating firefly algorithm in artificial neural network models for accurate software cost predictions. J. Softw. Evol. Process. 28 (8) (2016)
Arvinder Kaur, Kamaldeep Kaur, Shilpi Jain
Predicting software change-proneness with code smells and class imbalance learning. ICACCI (2016)
Gagandeep Kaur, Arvinder Kaur
A key based security mechanism for payment status in cloud service access control system. ICACCI (2015)
Arvinder Kaur, Shraddha Verma
Performance Measurement and Analysis of High-Availability Clusters. ACM SIGSOFT Softw. Eng. Notes 40 (2) (2015)
Komal, Arvinder Kaur
A new hybrid scheduling in cloud environment. ICACCI (2015)
Arvinder Kaur, Kamaldeep Kaur
Performance analysis of ensemble learning for predicting defects in open source software. ICACCI (2014)
Geeta Nagpal, Moin Uddin, Arvinder Kaur
Grey relational effort analysis technique using regression methods for software estimation. Int. Arab J. Inf. Technol. 11 (5) (2014)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
A comparative study of models for predicting fault proneness in object-oriented systems. Int. J. Comput. Appl. Technol. 49 (1) (2014)
Arvinder Kaur, Kamaldeep Kaur
An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction. ISI (1) (2014)
Radhike Sawhney, Arvinder Kaur
A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language. ICACCI (2014)
Geeta Nagpal, Moin Uddin, Arvinder Kaur
Grey relational effort analysis technique using robust regression methods for individual projects. Int. J. Comput. Intell. Stud. 3 (1) (2014)
Geeta Nagpal, Moin Uddin, Arvinder Kaur
Analyzing software effort estimation using k means clustered regression approach. ACM SIGSOFT Softw. Eng. Notes 38 (1) (2013)
Arvinder Kaur, Kamaldeep Kaur
Statistical Comparison of Modelling Methods for Software Maintainability Prediction. Int. J. Softw. Eng. Knowl. Eng. 23 (6) (2013)
Arvinder Kaur, Samridhi Gulati, Sarita Singh
A comparative study of two formal specification languages: Z-notation & B-method. CCSEIT (2012)
Arvinder Kaur, Piyush Madan
Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People. GHTC (2012)
Kalpana Johari, Arvinder Kaur
Validation of object oriented metrics using open source software system: an empirical study. ACM SIGSOFT Softw. Eng. Notes 37 (1) (2012)
Kalpana Johari, Arvinder Kaur
Interoperability issues in Web Services. CCSEIT (2012)
Inderpreet Kaur, Arvinder Kaur
Empirical study of Software Quality estimation. CCSEIT (2012)
Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal
Systematic Literature Review on Regression Test Prioritization Techniques. Informatica (Slovenia) 36 (4) (2012)
Kalpana Johari, Arvinder Kaur
Impact of class attributes on cognitive complexity. Int. J. Syst. Assur. Eng. Manag. 3 (4) (2012)
Geeta Nagpal, Moin Uddin, Arvinder Kaur
A Comparative Study of Estimation by Analogy using Data Mining Techniques. J. Inf. Process. Syst. 8 (4) (2012)
Kalpana Johari, Arvinder Kaur
Effect of software evolution on software metrics: an open source case study. ACM SIGSOFT Softw. Eng. Notes 36 (5) (2011)
Yogesh Singh, Arvinder Kaur, Bharti Suri
A Hybrid Approach for Regression Testing in Interprocedural Program. J. Inf. Process. Syst. 6 (1) (2010)
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
A Regression Test Selection and Prioritization Technique. J. Inf. Process. Syst. 6 (2) (2010)
Yogesh Singh, Arvinder Kaur, Bharti Suri
Test case prioritization using ant colony optimization. ACM SIGSOFT Softw. Eng. Notes 35 (4) (2010)
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines. Int. J. Syst. Assur. Eng. Manag. 1 (3) (2010)
Yogesh Singh, Arvinder Kaur, Pradeep Kumar Bhatia, Omprakash Sangwan
Predicting Software Development Effort Using Artificial Neural Network. Int. J. Softw. Eng. Knowl. Eng. 20 (3) (2010)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Empirical validation of object-oriented metrics for predicting fault proneness models. Softw. Qual. J. 18 (1) (2010)
Ruchika Malhotra, Arvinder Kaur, Guru Gobind Singh
Application of machine learning methods for software effort prediction. ACM SIGSOFT Softw. Eng. Notes 35 (3) (2010)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study. Softw. Process. Improv. Pract. 14 (1) (2009)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Prediction of Software Quality Model Using Gene Expression Programming. PROFES (2009)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes. ICISTM (2009)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Application of support vector machine to predict fault prone classes. ACM SIGSOFT Softw. Eng. Notes 34 (1) (2009)
Yogesh Singh, Arvinder Kaur, Bharti Suri
Empirical Validation of Variable based Test Case Prioritization/Selection Technique. J. Digit. Content Technol. its Appl. 3 (3) (2009)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Comparative analysis of regression and machine learning methods for predicting fault proneness models. Int. J. Comput. Appl. Technol. 35 (2/3/4) (2009)
Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan
Application of Neural Networks in Software Engineering: A Review. ICISTM (2009)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Predicting Software Fault Proneness Model Using Neural Network. XP (2008)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Predicting Software Fault Proneness Model Using Neural Network. PROFES (2008)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Software Design Metrics for Object-Oriented Software. J. Object Technol. 6 (1) (2007)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems. J. Object Technol. 6 (10) (2007)
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models. Software Engineering Research and Practice (2007)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Empirical Study of Object-Oriented Metrics. J. Object Technol. 5 (8) (2006)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
Software Reuse Metrics for Object-Oriented Systems. SERA (2005)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan
A neural net based approach to Test Oracle. ACM SIGSOFT Softw. Eng. Notes 29 (3) (2004)
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur
Code coverage based technique for prioritizing test cases for regression testing. ACM SIGSOFT Softw. Eng. Notes 29 (5) (2004)