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2020 – today
- 2024
[j58]Arvinder Kaur, Yugal Kumar, Jagpreet Sidhu:
Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges. Artif. Intell. Rev. 57(10): 287 (2024)- [j57]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): 127-142 (2024) - 2023
- [j56]Harguneet Kaur, Arvinder Kaur:
SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software. J. Inf. Knowl. Manag. 22(5): 2350047:1-2350047:18 (2023) - 2022
- [j55]Arvinder Kaur, Yugal Kumar
:
Neighborhood search based improved bat algorithm for data clustering. Appl. Intell. 52(9): 10541-10575 (2022) - [j54]Arvinder Kaur, Yugal Kumar:
A new metaheuristic algorithm based on water wave optimization for data clustering. Evol. Intell. 15(1): 759-783 (2022) - [j53]Harguneet Kaur, Arvinder Kaur:
An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software. Informatica (Slovenia) 46(8) (2022) - [j52]Arvinder Kaur, Yugal Kumar:
A multi-objective vibrating particle system algorithm for data clustering. Pattern Anal. Appl. 25(1): 209-239 (2022) - [j51]Rashmi Arora, Arvinder Kaur:
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms. Vietnam. J. Comput. Sci. 9(3): 261-284 (2022) - 2021
- [j50]Inderpreet Kaur, Arvinder Kaur:
A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection. IEEE Access 9: 8695-8707 (2021) - [j49]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): 99-118 (2021) - [j48]Inderpreet Kaur, Arvinder Kaur:
Comparative analysis of software fault prediction using various categories of classifiers. Int. J. Syst. Assur. Eng. Manag. 12(3): 520-535 (2021) - [c22]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: 1-6 - 2020
- [j47]Shubhra Goyal Jindal, Arvinder Kaur:
Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports. IEEE Access 8: 65352-65370 (2020) - [j46]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): 105523 (2020) - [j45]Shubhra Goyal Jindal, Arvinder Kaur:
Information Retrieval from Software Bug Ontology Exploiting Formal Concept Analysis. Computación y Sistemas 24(2) (2020) - [j44]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): 53-67 (2020) - [j43]Raghu Ramakrishnan, Arvinder Kaur:
An empirical comparison of predictive models for web page performance. Inf. Softw. Technol. 123: 106307 (2020) - [j42]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) - [j41]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): 7769-7784 (2020) - [j40]Amrit Pal Singh, Arvinder Kaur, Saibal Kumar Pal:
A novel Chaotic Flower Pollination-based intrusion detection framework. Soft Comput. 24(21): 16249-16267 (2020)
2010 – 2019
- 2019
- [j39]Raghu Ramakrishnan, Arvinder Kaur:
Little's law based validation framework for load testing. Inf. Softw. Technol. 108: 88-98 (2019) - [j38]Arvinder Kaur, Shubhra Goyal Jindal:
Text analytics based severity prediction of software bugs for apache projects. Int. J. Syst. Assur. Eng. Manag. 10(4): 765-782 (2019) - 2018
- [j37]Arvinder Kaur, Deepti Chopra:
Entropy Churn Metrics for Fault Prediction in Software Systems. Entropy 20(12): 963 (2018) - [j36]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): 1657-1669 (2018) - [j35]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): 2-17 (2018) - [j34]Arvinder Kaur, Vidhi Vig:
Automatic test case generation through collaboration diagram: a case study. Int. J. Syst. Assur. Eng. Manag. 9(2): 362-376 (2018) - [j33]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): 853-865 (2018) - [j32]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): 901-910 (2018) - [c21]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: 192-201 - [c20]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: 13-20 - 2017
- [j31]Arvinder Kaur, Diksha Dani:
Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study. Electron. Gov. an Int. J. 13(1): 1-30 (2017) - [j30]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): 599-616 (2017) - [j29]Arvinder Kaur, Diksha Dani:
Comparing and evaluating the effectiveness of mobile Web adequacy evaluation tools. Univers. Access Inf. Soc. 16(2): 411-424 (2017) - [c19]Arvinder Kaur, Anirudra Diwakar, Rohit Vashisht:
Alternatives to VM consolidation techniques for energy aware cloud computing. ICACCI 2017: 2005-2009 - [c18]Raghu Ramakrishnan, Arvinder Kaur:
Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems. ICPE 2017: 213-222 - 2016
- [j28]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): 665-688 (2016) - [c17]Arvinder Kaur, Kamaldeep Kaur, Shilpi Jain:
Predicting software change-proneness with code smells and class imbalance learning. ICACCI 2016: 746-754 - 2015
- [j27]Arvinder Kaur, Shraddha Verma:
Performance Measurement and Analysis of High-Availability Clusters. ACM SIGSOFT Softw. Eng. Notes 40(2): 1-7 (2015) - [c16]Komal, Arvinder Kaur:
A new hybrid scheduling in cloud environment. ICACCI 2015: 407-411 - [c15]Gagandeep Kaur, Arvinder Kaur:
A key based security mechanism for payment status in cloud service access control system. ICACCI 2015: 656-661 - 2014
- [j26]Geeta Nagpal, Moin Uddin, Arvinder Kaur:
Grey relational effort analysis technique using regression methods for software estimation. Int. Arab J. Inf. Technol. 11(5): 437-446 (2014) - [j25]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): 22-41 (2014) - [j24]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): 40-73 (2014) - [c14]Arvinder Kaur, Kamaldeep Kaur:
Performance analysis of ensemble learning for predicting defects in open source software. ICACCI 2014: 219-225 - [c13]Radhike Sawhney, Arvinder Kaur:
A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language. ICACCI 2014: 2745-2749 - [c12]Arvinder Kaur, Kamaldeep Kaur:
An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction. ISI (1) 2014: 383-397 - 2013
- [j23]Arvinder Kaur, Kamaldeep Kaur:
Statistical Comparison of Modelling Methods for Software Maintainability Prediction. Int. J. Softw. Eng. Knowl. Eng. 23(6): 743-774 (2013) - [j22]Geeta Nagpal, Moin Uddin, Arvinder Kaur:
Analyzing software effort estimation using k means clustered regression approach. ACM SIGSOFT Softw. Eng. Notes 38(1): 1-9 (2013) - 2012
- [j21]Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal:
Systematic Literature Review on Regression Test Prioritization Techniques. Informatica (Slovenia) 36(4): 379-408 (2012) - [j20]Geeta Nagpal, Moin Uddin, Arvinder Kaur:
A Comparative Study of Estimation by Analogy using Data Mining Techniques. J. Inf. Process. Syst. 8(4): 621-652 (2012) - [j19]Kalpana Johari, Arvinder Kaur:
Impact of class attributes on cognitive complexity. Int. J. Syst. Assur. Eng. Manag. 3(4): 284-299 (2012) - [j18]Kalpana Johari, Arvinder Kaur:
Validation of object oriented metrics using open source software system: an empirical study. ACM SIGSOFT Softw. Eng. Notes 37(1): 1-4 (2012) - [c11]Arvinder Kaur, Samridhi Gulati, Sarita Singh:
A comparative study of two formal specification languages: Z-notation & B-method. CCSEIT 2012: 524-531 - [c10]Kalpana Johari, Arvinder Kaur:
Interoperability issues in Web Services. CCSEIT 2012: 614-619 - [c9]Inderpreet Kaur, Arvinder Kaur:
Empirical study of Software Quality estimation. CCSEIT 2012: 694-700 - [c8]Arvinder Kaur, Piyush Madan:
Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People. GHTC 2012: 93-97 - 2011
- [j17]Kalpana Johari, Arvinder Kaur:
Effect of software evolution on software metrics: an open source case study. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-8 (2011) - 2010
- [j16]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): 367-375 (2010) - [j15]Yogesh Singh, Arvinder Kaur, Bharti Suri:
A Hybrid Approach for Regression Testing in Interprocedural Program. J. Inf. Process. Syst. 6(1): 21-32 (2010) - [j14]Ruchika Malhotra, Arvinder Kaur, Yogesh Singh:
A Regression Test Selection and Prioritization Technique. J. Inf. Process. Syst. 6(2): 235-252 (2010) - [j13]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): 269-281 (2010) - [j12]Ruchika Malhotra, Arvinder Kaur, Guru Gobind Singh:
Application of machine learning methods for software effort prediction. ACM SIGSOFT Softw. Eng. Notes 35(3): 1-6 (2010) - [j11]Yogesh Singh, Arvinder Kaur, Bharti Suri:
Test case prioritization using ant colony optimization. ACM SIGSOFT Softw. Eng. Notes 35(4): 1-7 (2010) - [j10]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Empirical validation of object-oriented metrics for predicting fault proneness models. Softw. Qual. J. 18(1): 3-35 (2010)
2000 – 2009
- 2009
- [j9]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): 183-193 (2009) - [j8]Yogesh Singh, Arvinder Kaur, Bharti Suri:
Empirical Validation of Variable based Test Case Prioritization/Selection Technique. J. Digit. Content Technol. its Appl. 3(3): 116-123 (2009) - [j7]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Application of support vector machine to predict fault prone classes. ACM SIGSOFT Softw. Eng. Notes 34(1): 1-6 (2009) - [j6]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): 39-62 (2009) - [c7]Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan:
Application of Neural Networks in Software Engineering: A Review. ICISTM 2009: 128-137 - [c6]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes. ICISTM 2009: 337-338 - [c5]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Prediction of Software Quality Model Using Gene Expression Programming. PROFES 2009: 43-58 - 2008
- [c4]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Predicting Software Fault Proneness Model Using Neural Network. PROFES 2008: 204-214 - [c3]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Predicting Software Fault Proneness Model Using Neural Network. XP 2008: 215-217 - [p1]Yogesh Singh, Arvinder Kaur, Bharti Suri:
An Empirical Study of Product Metrics in Software Testing. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 64-72 - 2007
- [j5]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Design Metrics for Object-Oriented Software. J. Object Technol. 6(1): 121-138 (2007) - [j4]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): 127-141 (2007) - [c2]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: 664-670 - 2006
- [j3]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Empirical Study of Object-Oriented Metrics. J. Object Technol. 5(8): 149-173 (2006) - 2005
- [c1]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Reuse Metrics for Object-Oriented Systems. SERA 2005: 48-55 - 2004
- [j2]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan:
A neural net based approach to Test Oracle. ACM SIGSOFT Softw. Eng. Notes 29(3): 1-6 (2004) - [j1]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): 1-4 (2004)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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