![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Arvinder Kaur
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 2015
- [j27]Arvinder Kaur, Shraddha Verma:
Performance Measurement and Analysis of High-Availability Clusters. ACM SIGSOFT Softw. Eng. Notes 40(2): 1-7 (2015) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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
- [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
- [c17]Arvinder Kaur, Kamaldeep Kaur
, Shilpi Jain:
Predicting software change-proneness with code smells and class imbalance learning. ICACCI 2016: 746-754 - 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
- [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 - 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 - 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 - 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 - 2005
- [c1]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Reuse Metrics for Object-Oriented Systems. SERA 2005: 48-55
Parts in Books or Collections
- 2008
- [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
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-03 19:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint