A neural net based approach to Test Oracle. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Omprakash Sangwan (ACM SIGSOFT Softw. Eng. Notes, 2004)

Code coverage based technique for prioritizing test cases for regression testing. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur (ACM SIGSOFT Softw. Eng. Notes, 2004)

Software Reuse Metrics for Object-Oriented Systems. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (SERA, 2005)

Empirical Study of Object-Oriented Metrics. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (J. Object Technol., 2006)

Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (Software Engineering Research and Practice, 2007)

Software Design Metrics for Object-Oriented Software. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (J. Object Technol., 2007)

Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (J. Object Technol., 2007)

Predicting Software Fault Proneness Model Using Neural Network. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (PROFES, 2008)

An Empirical Study of Product Metrics in Software Testing. - Yogesh Singh; Arvinder Kaur; Bharti Suri (Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, 2008)

Application of Neural Networks in Software Engineering: A Review. - Yogesh Singh; Pradeep Kumar Bhatia; Arvinder Kaur; Omprakash Sangwan (ICISTM, 2009)

Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (ICISTM, 2009)

Prediction of Software Quality Model Using Gene Expression Programming. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (PROFES, 2009)

Comparative analysis of regression and machine learning methods for predicting fault proneness models. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (Int. J. Comput. Appl. Technol., 2009)

Empirical Validation of Variable based Test Case Prioritization/Selection Technique. - Yogesh Singh; Arvinder Kaur; Bharti Suri (J. Digit. Content Technol. its Appl., 2009)

Application of support vector machine to predict fault prone classes. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (ACM SIGSOFT Softw. Eng. Notes, 2009)

Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study. - K. K. Aggarwal 001; Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (Softw. Process. Improv. Pract., 2009)

Predicting Software Development Effort Using Artificial Neural Network. - Yogesh Singh; Arvinder Kaur; Pradeep Kumar Bhatia; Omprakash Sangwan (Int. J. Softw. Eng. Knowl. Eng., 2010)

A Regression Test Selection and Prioritization Technique. - Ruchika Malhotra; Arvinder Kaur; Yogesh Singh (J. Inf. Process. Syst., 2010)

A Hybrid Approach for Regression Testing in Interprocedural Program. - Yogesh Singh; Arvinder Kaur; Bharti Suri (J. Inf. Process. Syst., 2010)

Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines. - Ruchika Malhotra; Arvinder Kaur; Yogesh Singh (Int. J. Syst. Assur. Eng. Manag., 2010)

Application of machine learning methods for software effort prediction. - Ruchika Malhotra; Arvinder Kaur; Guru Gobind Singh (ACM SIGSOFT Softw. Eng. Notes, 2010)

Test case prioritization using ant colony optimization. - Yogesh Singh; Arvinder Kaur; Bharti Suri (ACM SIGSOFT Softw. Eng. Notes, 2010)

Empirical validation of object-oriented metrics for predicting fault proneness models. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (Softw. Qual. J., 2010)

Effect of software evolution on software metrics: an open source case study. - Kalpana Johari; Arvinder Kaur (ACM SIGSOFT Softw. Eng. Notes, 2011)

Interoperability issues in Web Services. - Kalpana Johari; Arvinder Kaur (CCSEIT, 2012)

A comparative study of two formal specification languages: Z-notation & B-method. - Arvinder Kaur; Samridhi Gulati; Sarita Singh (CCSEIT, 2012)

Empirical study of Software Quality estimation. - Inderpreet Kaur; Arvinder Kaur (CCSEIT, 2012)

Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People. - Arvinder Kaur; Piyush Madan (GHTC, 2012)

Systematic Literature Review on Regression Test Prioritization Techniques. - Yogesh Singh; Arvinder Kaur; Bharti Suri; Shweta Singhal (Informatica (Slovenia), 2012)

A Comparative Study of Estimation by Analogy using Data Mining Techniques. - Geeta Nagpal; Moin Uddin; Arvinder Kaur (J. Inf. Process. Syst., 2012)

Impact of class attributes on cognitive complexity. - Kalpana Johari; Arvinder Kaur (Int. J. Syst. Assur. Eng. Manag., 2012)

Validation of object oriented metrics using open source software system: an empirical study. - Kalpana Johari; Arvinder Kaur (ACM SIGSOFT Softw. Eng. Notes, 2012)

Statistical Comparison of Modelling Methods for Software Maintainability Prediction. - Arvinder Kaur; Kamaldeep Kaur (Int. J. Softw. Eng. Knowl. Eng., 2013)

Analyzing software effort estimation using k means clustered regression approach. - Geeta Nagpal; Moin Uddin; Arvinder Kaur (ACM SIGSOFT Softw. Eng. Notes, 2013)

Performance analysis of ensemble learning for predicting defects in open source software. - Arvinder Kaur; Kamaldeep Kaur (ICACCI, 2014)

A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language. - Radhike Sawhney; Arvinder Kaur (ICACCI, 2014)

An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction. - Arvinder Kaur; Kamaldeep Kaur (ISI (1), 2014)

Grey relational effort analysis technique using regression methods for software estimation. - Geeta Nagpal; Moin Uddin; Arvinder Kaur (Int. Arab J. Inf. Technol., 2014)

A comparative study of models for predicting fault proneness in object-oriented systems. - Yogesh Singh; Arvinder Kaur; Ruchika Malhotra (Int. J. Comput. Appl. Technol., 2014)

Grey relational effort analysis technique using robust regression methods for individual projects. - Geeta Nagpal; Moin Uddin; Arvinder Kaur (Int. J. Comput. Intell. Stud., 2014)

A key based security mechanism for payment status in cloud service access control system. - Gagandeep Kaur; Arvinder Kaur (ICACCI, 2015)

A new hybrid scheduling in cloud environment. - Komal; Arvinder Kaur (ICACCI, 2015)

Performance Measurement and Analysis of High-Availability Clusters. - Arvinder Kaur; Shraddha Verma (ACM SIGSOFT Softw. Eng. Notes, 2015)

Predicting software change-proneness with code smells and class imbalance learning. - Arvinder Kaur; Kamaldeep Kaur; Shilpi Jain (ICACCI, 2016)

Integrating firefly algorithm in artificial neural network models for accurate software cost predictions. - Anupama Kaushik; Devendra K. Tayal; Kalpana Yadav; Arvinder Kaur (J. Softw. Evol. Process., 2016)

Alternatives to VM consolidation techniques for energy aware cloud computing. - Arvinder Kaur; Anirudra Diwakar; Rohit Vashisht (ICACCI, 2017)

Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems. - Raghu Ramakrishnan 002; Arvinder Kaur (ICPE, 2017)

Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study. - Arvinder Kaur; Diksha Dani (Electron. Gov. an Int. J., 2017)

An empirical study of software entropy based bug prediction using machine learning. - Arvinder Kaur; Kamaldeep Kaur; Deepti Chopra (Int. J. Syst. Assur. Eng. Manag., 2017)

Comparing and evaluating the effectiveness of mobile Web adequacy evaluation tools. - Arvinder Kaur; Diksha Dani (Univers. Access Inf. Soc., 2017)

Comparative Analysis of Chaotic Variant of Firefly Algorithm, Flower Pollination Algorithm and Dragonfly Algorithm for High Dimension Non-linear Test Functions. - Amrit Pal Singh; Arvinder Kaur (IBICA, 2018)

An effective approach for regression test case selection using pareto based multi-objective harmony search. - Ankur Choudhary; Arun Prakash Agrawal; Arvinder Kaur (SBST@ICSE, 2018)

Entropy Churn Metrics for Fault Prediction in Software Systems. - Arvinder Kaur; Deepti Chopra (Entropy, 2018)

Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms. - Vidhi Vig; Arvinder Kaur (J. Intell. Fuzzy Syst., 2018)

An empirical evaluation of classification algorithms for fault prediction in open source projects. - Arvinder Kaur; Inderpreet Kaur (J. King Saud Univ. Comput. Inf. Sci., 2018)

New chaotic flower pollination algorithm for unconstrained non-linear optimization functions. - Arvinder Kaur; Saibal Kumar Pal; Amrit Pal Singh (Int. J. Syst. Assur. Eng. Manag., 2018)

Hybridization of K-Means and Firefly Algorithm for intrusion detection system. - Arvinder Kaur; Saibal Kumar Pal; Amrit Pal Singh (Int. J. Syst. Assur. Eng. Manag., 2018)

Automatic test case generation through collaboration diagram: a case study. - Arvinder Kaur; Vidhi Vig (Int. J. Syst. Assur. Eng. Manag., 2018)

Little's law based validation framework for load testing. - Raghu Ramakrishnan 002; Arvinder Kaur (Inf. Softw. Technol., 2019)

Text analytics based severity prediction of software bugs for apache projects. - Arvinder Kaur; Shubhra Goyal Jindal (Int. J. Syst. Assur. Eng. Manag., 2019)

Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports. - Shubhra Goyal Jindal; Arvinder Kaur (IEEE Access, 2020)

Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering. - Arvinder Kaur; Saibal Kumar Pal; Amrit Pal Singh (Appl. Soft Comput., 2020)

Information Retrieval from Software Bug Ontology Exploiting Formal Concept Analysis. - Shubhra Goyal Jindal; Arvinder Kaur (Computación y Sistemas, 2020)

An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm. - Arun Prakash Agrawal; Ankur Choudhary; Arvinder Kaur (Int. J. Distributed Syst. Technol., 2020)

An empirical comparison of predictive models for web page performance. - Raghu Ramakrishnan 002; Arvinder Kaur (Inf. Softw. Technol., 2020)

Performance evaluation of web service response time probability distribution models for business process cycle time simulation. - Raghu Ramakrishnan 002; Arvinder Kaur (J. Syst. Softw., 2020)

Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach. - Arun Prakash Agrawal; Ankur Choudhary; Arvinder Kaur; Hari Mohan Pandey (Neural Comput. Appl., 2020)

A novel Chaotic Flower Pollination-based intrusion detection framework. - Amrit Pal Singh; Arvinder Kaur; Saibal Kumar Pal (Soft Comput., 2020)

TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks. - Deepanshu Garg; Arvinder Kaur; Abderrahim Benslimane; Rasmeet S. Bali; Neeraj Kumar 001; Sudeep Tanwar; Joel J. P. C. Rodrigues; Mohammad S. Obaidat (GLOBECOM, 2021)

A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection. - Inderpreet Kaur; Arvinder Kaur (IEEE Access, 2021)

Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing. - Arun Prakash Agrawal; Arvinder Kaur (Int. J. Adv. Intell. Paradigms, 2021)

Comparative analysis of software fault prediction using various categories of classifiers. - Inderpreet Kaur; Arvinder Kaur (Int. J. Syst. Assur. Eng. Manag., 2021)

Neighborhood search based improved bat algorithm for data clustering. - Arvinder Kaur; Yugal Kumar (Appl. Intell., 2022)

A new metaheuristic algorithm based on water wave optimization for data clustering. - Arvinder Kaur; Yugal Kumar (Evol. Intell., 2022)

An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software. - Harguneet Kaur; Arvinder Kaur (Informatica (Slovenia), 2022)

A multi-objective vibrating particle system algorithm for data clustering. - Arvinder Kaur; Yugal Kumar (Pattern Anal. Appl., 2022)

Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms. - Rashmi Arora; Arvinder Kaur (Vietnam. J. Comput. Sci., 2022)

Summarization of Software Bug Report based on Sentence Semantic Similarity (SSBRSSS) Technique. - Shubhra Goyal Jindal; Arvinder Kaur (ICMLDE, 2023)

SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software. - Harguneet Kaur; Arvinder Kaur (J. Inf. Knowl. Manag., 2023)

Exploring CNN Model Optimization Strategies for Plant Disease Classification. - Abhishek Dwivedi; Lalit Birla; Chiranjit Pal; Arvinder Kaur (ICPR (Workshops and Challenges, 1), 2024)

An enhanced human learning optimisation algorithm for effective data clustering. - Jigyasa Goyal; Yugal Kumar; Pardeep Kumar 002; Arvinder Kaur (Int. J. Grid Util. Comput., 2024)

Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges. - Arvinder Kaur; Yugal Kumar; Jagpreet Sidhu (Artif. Intell. Rev., 2024)

Smadasyn-boosted cross-project transfer learning for effective security fault prediction". - Rashmi; Arvinder Kaur (Evol. Intell., 2025)