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2020 – today
- 2024
[j74]Ruchika Malhotra, Maru Tesfaye Addis
:
Handwritten Amharic Word Recognition With Additive Attention Mechanism. IEEE Access 12: 114645-114657 (2024)- [j73]Ruchika Malhotra, Anjali Bansal, Marouane Kessentini:
Deployment and performance monitoring of docker based federated learning framework for software defect prediction. Clust. Comput. 27(5): 6039-6057 (2024) - [j72]Ruchika Malhotra, Kishwar Khan:
A novel software defect prediction model using two-phase grey wolf optimisation for feature selection. Clust. Comput. 27(9): 12185-12207 (2024) - [j71]Ruchika Malhotra, Anjali Bansal, Marouane Kessentini:
A Systematic Literature Review on Maintenance of Software Containers. ACM Comput. Surv. 56(8): 193:1-193:38 (2024) - [j70]Ruchika Malhotra, Madhukar Cherukuri:
A systematic review of hyperparameter tuning techniques for software quality prediction models. Intell. Data Anal. 28(5): 1131-1149 (2024) - [j69]Ruchika Malhotra, Shweta Meena:
Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction. J. Comput. Sci. 76: 102230 (2024) - [j68]Ruchika Malhotra, Shweta Meena:
A systematic review of transfer learning in software engineering. Multim. Tools Appl. 83(39): 87237-87298 (2024) - [j67]Ruchika Malhotra, Shweta Meena:
Empirical validation of feature selection techniques for cross-project defect prediction. Int. J. Syst. Assur. Eng. Manag. 15(5): 1743-1755 (2024) - [j66]Ruchika Malhotra, Vidushi:
Text mining based an automatic model for software vulnerability severity prediction. Int. J. Syst. Assur. Eng. Manag. 15(8): 3706-3724 (2024) - 2023
- [j65]Ruchika Malhotra, Maru Tesfaye Addis:
End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning. IEEE Access 11: 99535-99545 (2023) - [j64]Ruchika Malhotra, Bhawna Jain, Marouane Kessentini:
Examining deep learning's capability to spot code smells: a systematic literature review. Clust. Comput. 26(6): 3473-3501 (2023) - [j63]Ruchika Malhotra, Massoud Massoudi, Rajni Jindal:
An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths. Educ. Inf. Technol. 28(2): 2263-2289 (2023) - [j62]Ruchika Malhotra, Massoud Massoudi, Rajni Jindal:
Shifting from traditional engineering education towards competency-based approach: The most recommended approach-review. Educ. Inf. Technol. 28(7): 9081-9111 (2023) - [j61]Ruchika Malhotra, Priya Singh:
Recent advances in deep learning models: a systematic literature review. Multim. Tools Appl. 82(29): 44977-45060 (2023) - [j60]Ruchika Malhotra, Megha Khanna:
On the applicability of search-based algorithms for software change prediction. Int. J. Syst. Assur. Eng. Manag. 14(1): 55-73 (2023) - [j59]Ruchika Malhotra, Sonali Chawla, Anjali Sharma:
Software defect prediction using hybrid techniques: a systematic literature review. Soft Comput. 27(12): 8255-8288 (2023) - [c41]Anshika Jain, Anurag Gupta, Ruchika Malhotra:
A Comparative Study of Ethereum-Based and Web2.0-Based Personal Health Record Systems. ICCCNT 2023: 1-7 - [c40]Ruchika Malhotra, Sonali Chawla, Anjali Sharma:
An Artificial Neural Network Model based on Binary Particle Swarm Optimization for enhancing the efficiency of Software Defect Prediction. ICSIM 2023: 92-100 - [c39]Ruchika Malhotra, Anjali Bansal, Marouane Kessentini:
Vulnerability Analysis of Docker Hub Official Images and Verified Images. SOSE 2023: 150-155 - 2022
- [j58]Ruchika Malhotra, Kusum Lata:
Handling class imbalance problem in software maintainability prediction: an empirical investigation. Frontiers Comput. Sci. 16(4): 164205 (2022) - [j57]Ruchika Malhotra, Megha Khanna:
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports. Int. J. Inf. Retr. Res. 12(1): 1-18 (2022) - [j56]Ruchika Malhotra, Juhi Jain:
Predicting defects in imbalanced data using resampling methods: an empirical investigation. PeerJ Comput. Sci. 8: e573 (2022) - [j55]Ruchika Malhotra, Shweta Meena:
Defect prediction model using transfer learning. Soft Comput. 26(10): 4713-4726 (2022) - [c38]Aaron Paul Jacob, Aryan Bansal, Ruchika Malhotra:
A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest. APIT 2022: 15-18 - [c37]Ruchika Malhotra, Dhananjay Deswal, Jai Chaudhry:
Decoding the Brain Waves using EEG signals for classifying Body Gestures by applying suitable ML & DL Techniques. APIT 2022: 116-122 - [c36]Rahul Chopra, Shreoshi Roy, Ruchika Malhotra:
Transductive Instance Transfer Learning for Cross-Language Defect Prediction. APIT 2022: 176-182 - [d1]Ruchika Malhotra, Arjun Rajpal, Dushyant Rathore:
Software Defect. IEEE DataPort, 2022
- 2021
- [j54]Rajni Jindal, Ruchika Malhotra, Abha Jain, Ankita Bansal:
Mining Non-Functional Requirements using Machine Learning Techniques. e Informatica Softw. Eng. J. 15(1) (2021) - [j53]Ruchika Malhotra, Kusum Lata:
An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models. Neurocomputing 459: 432-453 (2021) - [j52]Ruchika Malhotra, Juhi Jain:
Predicting Software Defects for Object-Oriented Software Using Search-based Techniques. Int. J. Softw. Eng. Knowl. Eng. 31(2): 193-215 (2021) - [c35]Ruchika Malhotra, Anmol Budhiraja, Abhinav Kumar Singh, Ishani Ghoshal:
A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction. APIT 2021: 115-121 - [c34]Ruchika Malhotra, Sarthak Aggarwal, Ridhima Bansal:
COVID'19 in India: Emotion of the Nation A novel Spatio-Temporal Unsupervised Sentiment Analysis. BIBM 2021: 3165-3170 - [c33]Ruchika Malhotra, Ritvik Kapoor, Deepti Aggarwal, Priya Garg:
Comparative Study of Feature Reduction Techniques in Software Change Prediction. MSR 2021: 18-28 - 2020
- [j51]Ruchika Malhotra, Priya Singh:
Exploiting bad-smells and object-oriented characteristics to prioritize classes for refactoring. Int. J. Syst. Assur. Eng. Manag. 11(2s): 133-144 (2020) - [j50]Ruchika Malhotra, Kusum Lata:
A systematic literature review on empirical studies towards prediction of software maintainability. Soft Comput. 24(21): 16655-16677 (2020) - [j49]Ruchika Malhotra, Kusum Lata:
An empirical study on predictability of software maintainability using imbalanced data. Softw. Qual. J. 28(4): 1581-1614 (2020) - [c32]Ruchika Malhotra, Kusum Lata:
Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques. CEC 2020: 1-7 - [c31]Vaibhav Jain, Ruchika Malhotra, Sanskar Jain, Nishant Tanwar:
Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces. REFSQ Workshops 2020
2010 – 2019
- 2019
- [j48]Ruchika Malhotra, Megha Khanna:
Software Change Prediction: A Systematic Review and Future Guidelines. e Informatica Softw. Eng. J. 13(1): 227-259 (2019) - [j47]Ruchika Malhotra, Shine Kamal:
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data. Neurocomputing 343: 120-140 (2019) - [j46]Ruchika Malhotra, Megha Khanna:
Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software. Int. J. Rough Sets Data Anal. 6(3): 49-66 (2019) - [j45]Ruchika Malhotra, Megha Khanna:
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization. Inf. Softw. Technol. 112: 51-67 (2019) - [j44]Ruchika Malhotra, Anjali Sharma:
Empirical assessment of feature selection techniques in defect prediction models using web applications. J. Intell. Fuzzy Syst. 36(6): 6567-6578 (2019) - [j43]Ruchika Malhotra, Anjali Sharma:
Estimating the threshold of software metrics for web applications. Int. J. Syst. Assur. Eng. Manag. 10(1): 110-125 (2019) - [c30]Anu Singh Lather, Ruchika Malhotra, Priya Saloni, Prabhjot Singh, Sarthak Mittal:
Prediction of employee performance using machine learning techniques. AISS 2019: 30:1-30:6 - 2018
- [j42]Ruchika Malhotra:
An extensive analysis of search-based techniques for predicting defective classes. Comput. Electr. Eng. 71: 611-626 (2018) - [j41]Ruchika Malhotra, Megha Khanna:
An empirical study to evaluate the relationship of object-oriented metrics and change proneness. Int. Arab J. Inf. Technol. 15(6): 1016-1023 (2018) - [j40]Ruchika Malhotra, Megha Khanna:
Threats to validity in search-based predictive modelling for software engineering. IET Softw. 12(4): 293-305 (2018) - [j39]Ruchika Malhotra, Megha Khanna:
Particle swarm optimization-based ensemble learning for software change prediction. Inf. Softw. Technol. 102: 65-84 (2018) - [j38]Ruchika Malhotra, Megha Khanna:
Prediction of change prone classes using evolution-based and object-oriented metrics. J. Intell. Fuzzy Syst. 34(3): 1755-1766 (2018) - [j37]Ruchika Malhotra, Anjali Sharma:
Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications. J. Inf. Process. Syst. 14(3): 751-770 (2018) - [j36]Arunima Jaiswal, Ruchika Malhotra:
Software reliability prediction using machine learning techniques. Int. J. Syst. Assur. Eng. Manag. 9(1): 230-244 (2018) - [j35]Ruchika Malhotra, Ankita Jain Bansal:
Investigation of various data analysis techniques to identify change prone parts of an open source software. Int. J. Syst. Assur. Eng. Manag. 9(2): 401-426 (2018) - 2017
- [j34]Ruchika Malhotra, Megha Khanna:
An exploratory study for software change prediction in object-oriented systems using hybridized techniques. Autom. Softw. Eng. 24(3): 673-717 (2017) - [j33]Ruchika Malhotra:
Special issue on search-based techniques and their hybridizations in software engineering. Comput. Lang. Syst. Struct. 47: 151-152 (2017) - [j32]Ruchika Malhotra, Megha Khanna:
An empirical study for software change prediction using imbalanced data. Empir. Softw. Eng. 22(6): 2806-2851 (2017) - [j31]Ruchika Malhotra, Ravi Jangra:
Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques. J. Inf. Process. Syst. 13(4): 778-804 (2017) - [j30]Rajni Jindal, Ruchika Malhotra, Abha Jain:
Prediction of defect severity by mining software project reports. Int. J. Syst. Assur. Eng. Manag. 8(2): 334-351 (2017) - [j29]Ruchika Malhotra, Anjali Sharma:
Quantitative evaluation of web metrics for automatic genre classification of web pages. Int. J. Syst. Assur. Eng. Manag. 8(2s): 1567-1579 (2017) - [j28]Ruchika Malhotra, Megha Khanna, Rajeev R. Raje:
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions. Swarm Evol. Comput. 32: 85-109 (2017) - [c29]Ruchika Malhotra, Megha Khanna:
Software change prediction using voting particle swarm optimization based ensemble classifier. GECCO (Companion) 2017: 311-312 - [c28]Ruchika Malhotra, Shine Kamal:
Tool to handle imbalancing problem in software defect prediction using oversampling methods. ICACCI 2017: 906-912 - [c27]Ruchika Malhotra, Kusum Lata:
An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques. ISEC 2017: 26-33 - [c26]Ruchika Malhotra:
Software Quality Predictive Modeling: An Effective Assessment of Experimental Data. ISEC 2017: 215-216 - 2016
- [j27]Ruchika Malhotra:
An empirical framework for defect prediction using machine learning techniques with Android software. Appl. Soft Comput. 49: 1034-1050 (2016) - [j26]Ruchika Malhotra, Ankita Jain Bansal:
Software change prediction: a literature review. Int. J. Comput. Appl. Technol. 54(4): 240-256 (2016) - [j25]Ruchika Malhotra, Anuradha Chug:
Software Maintainability: Systematic Literature Review and Current Trends. Int. J. Softw. Eng. Knowl. Eng. 26(8): 1221-1254 (2016) - [c25]Ruchika Malhotra, Anuradha Chug:
An empirical study to assess the effects of refactoring on software maintainability. ICACCI 2016: 110-117 - [c24]Ruchika Malhotra, Megha Khanna:
Common threats to software quality predictive modeling studies using search-based techniques. ICACCI 2016: 554-560 - [c23]Ruchika Malhotra, Ankita Jain Bansal, Sourabh Jajoria:
An automated tool for generating change report from open-source software. ICACCI 2016: 1576-1582 - [c22]Rajni Jindal, Ruchika Malhotra, Abha Jain:
Automated classification of security requirements. ICACCI 2016: 2027-2033 - 2015
- [j24]Ruchika Malhotra:
A systematic review of machine learning techniques for software fault prediction. Appl. Soft Comput. 27: 504-518 (2015) - [j23]Ruchika Malhotra, Ankita Jain Bansal:
Fault prediction considering threshold effects of object-oriented metrics. Expert Syst. J. Knowl. Eng. 32(2): 203-219 (2015) - [j22]Rajni Jindal, Ruchika Malhotra, Abha Jain:
Techniques for text classification: Literature review and current trends. Webology 12(2) (2015) - [c21]Ruchika Malhotra, Megha Khanna:
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques. ICACCI 2015: 228-234 - [c20]Rajni Jindal, Ruchika Malhotra, Abha Jain:
Mining defect reports for predicting software maintenance effort. ICACCI 2015: 270-276 - [c19]Arunima Jaiswal, Ruchika Malhotra:
Software Reliability Prediction Using Machine Learning Techniques. SocProS (1) 2015: 141-163 - [c18]Ruchika Malhotra, Anuradha Chug, Priyanka Khosla:
Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality. WCI 2015: 228-234 - [c17]Ruchika Malhotra, Anjali Sharma:
A Web Metric Collection and Reporting System. WCI 2015: 661-667 - 2014
- [j21]Ruchika Malhotra:
Comparative analysis of statistical and machine learning methods for predicting faulty modules. Appl. Soft Comput. 21: 286-297 (2014) - [j20]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) - [j19]Ruchika Malhotra, Anuradha Chug:
Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems. Int. J. Syst. Assur. Eng. Manag. 5(2): 165-173 (2014) - [j18]Ruchika Malhotra, Anushree Agrawal:
CMS tool: calculating defect and change data from software project repositories. ACM SIGSOFT Softw. Eng. Notes 39(1): 1-5 (2014) - [c16]Ruchika Malhotra, Anuradha Chug:
Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics. BICT 2014 - [c15]Ruchika Malhotra, Rajeev R. Raje:
An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction. BICT 2014 - [c14]Ruchika Malhotra, Megha Khanna:
Examining the effectiveness of machine learning algorithms for prediction of change prone classes. HPCS 2014: 635-642 - [c13]Ruchika Malhotra, Ankita Jain Bansal:
Cross project change prediction using open source projects. ICACCI 2014: 201-207 - [c12]Ruchika Malhotra, Nakul Pritam, Yogesh Singh:
On the applicability of evolutionary computation for software defect prediction. ICACCI 2014: 2249-2257 - [c11]Ruchika Malhotra, Megha Khanna:
Analyzing software change in open source projects using Artificial Immune System algorithms. ICACCI 2014: 2674-2680 - [c10]Ruchika Malhotra, Megha Khanna:
A new metric for predicting software change using gene expression programming. WETSoM 2014: 8-14 - [c9]Ruchika Malhotra:
Search based techniques for software fault prediction: current trends and future directions. SBST 2014: 35-36 - 2013
- [j17]Ruchika Malhotra, Manju Khari:
Heuristic search-based approach for automated test data generation: a survey. Int. J. Bio Inspired Comput. 5(1): 1-18 (2013) - [j16]Ruchika Malhotra, Megha Khanna:
Investigation of relationship between object-oriented metrics and change proneness. Int. J. Mach. Learn. Cybern. 4(4): 273-286 (2013) - [j15]Ruchika Malhotra, Arun Negi:
Reliability modeling using Particle Swarm Optimization. Int. J. Syst. Assur. Eng. Manag. 4(3): 275-283 (2013) - [j14]Ruchika Malhotra, Divya Tiwari:
Development of a framework for test case prioritization using genetic algorithm. ACM SIGSOFT Softw. Eng. Notes 38(3): 1-6 (2013) - [c8]Ruchika Malhotra, Anjali Sharma:
A neuro-fuzzy classifier for website quality prediction. ICACCI 2013: 1274-1279 - [c7]Akshit Peer, Ruchika Malhotra:
Application of adaptive neuro-fuzzy inference system for predicting software change proneness. ICACCI 2013: 2026-2031 - 2012
- [j13]Ruchika Malhotra, Ankita Jain Bansal:
Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality. J. Inf. Process. Syst. 8(2): 241-262 (2012) - 2011
- [j12]Ruchika Malhotra, Mohit Garg:
An Adequacy Based Test Data Generation Technique Using Genetic Algorithms. J. Inf. Process. Syst. 7(2): 363-384 (2011) - [j11]Ruchika Malhotra, Ankita Jain Bansal:
Software fault prediction for object oriented systems: a literature review. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-6 (2011) - 2010
- [j10]Ruchika Malhotra, Arvinder Kaur, Yogesh Singh:
A Regression Test Selection and Prioritization Technique. J. Inf. Process. Syst. 6(2): 235-252 (2010) - [j9]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) - [j8]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) - [j7]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
- [j6]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) - [j5]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) - [j4]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) - [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
- [j3]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Design Metrics for Object-Oriented Software. J. Object Technol. 6(1): 121-138 (2007) - [j2]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
- [j1]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
Coauthor Index
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