Ruchika Malhotra

127 papers A 1B 4C 1Journal 85Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessing security vulnerabilities in a docker-enabled federated learning framework with hyperparameter tuning for software bug prediction.
Int. J. Inf. Sec.
Ruchika Malhotra, Anjali Bansal, Marouane Kessentini
2025 — conf
AI and Data Science in Sports Education.
ISACE
Ruchika Malhotra, Bimlesh Wadhwa, Shweta Meena, Subodh Mor
2025 J jnl
Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation.
J. Univers. Comput. Sci.
Ruchika Malhotra, Madhukar Cherukuri
2025 J jnl
DHG-BiGRU: Dual-attention based hierarchical gated BiGRU for software defect prediction.
Inf. Softw. Technol.
Ruchika Malhotra, Priya Singh
2025 J jnl
Enhanced software change proneness prediction in android applications using balanced data techniques and advanced language models.
Discov. Comput.
Ruchika Malhotra, Jyoti Patidar
2025 J jnl
Hybrid feature selection module for improving performance of software vulnerability severity prediction model on textual dataset.
Computing
Ruchika Malhotra, Vidushi
2025 J jnl
Improving software vulnerability severity prediction model performance with HDLN & FWFS: a two-stage feature selection approach.
Softw. Qual. J.
Ruchika Malhotra, Vidushi
2025 J jnl
OpTunedSMOTE: A novel model for automated hyperparameter tuning of SMOTE in software defect prediction.
Intell. Data Anal.
Ruchika Malhotra, Kishwar Khan
2025 J jnl
QNet: exploring deep learning for quantum code smell detection.
Softw. Qual. J.
Ruchika Malhotra, Bhawna Jain, Marouane Kessentini
2025 J jnl
Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism.
Neural Comput. Appl.
Ruchika Malhotra, Sonali Chawla, Anjali Sharma
2025 J jnl
Validating multi-objective search algorithms to predict faulty classes.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Monika Singh, Megha Khanna
2024 J jnl
A Systematic Literature Review on Maintenance of Software Containers.
ACM Comput. Surv.
Ruchika Malhotra, Anjali Bansal, Marouane Kessentini
2024 J jnl
A novel software defect prediction model using two-phase grey wolf optimisation for feature selection.
Clust. Comput.
Ruchika Malhotra, Kishwar Khan
2024 J jnl
A systematic review of hyperparameter tuning techniques for software quality prediction models.
Intell. Data Anal.
Ruchika Malhotra, Madhukar Cherukuri
2024 J jnl
A systematic review of transfer learning in software engineering.
Multim. Tools Appl.
Ruchika Malhotra, Shweta Meena
2024 J jnl
Deployment and performance monitoring of docker based federated learning framework for software defect prediction.
Clust. Comput.
Ruchika Malhotra, Anjali Bansal, Marouane Kessentini
2024 J jnl
Empirical validation of feature selection techniques for cross-project defect prediction.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Shweta Meena
2024 J jnl
Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction.
J. Comput. Sci.
Ruchika Malhotra, Shweta Meena
2024 J jnl
Ge'ez Digit Recognition Model Based on Convolutional Neural Network.
Appl. Artif. Intell.
Ruchika Malhotra, Maru Tesfaye Addis
2024 J jnl
Handwritten Amharic Word Recognition With Additive Attention Mechanism.
IEEE Access
Ruchika Malhotra, Maru Tesfaye Addis
2024 J jnl
Text mining based an automatic model for software vulnerability severity prediction.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Vidushi
2023 — conf
A Comparative Study of Ethereum-Based and Web2.0-Based Personal Health Record Systems.
ICCCNT
Anshika Jain, Anurag Gupta, Ruchika Malhotra
2023 — conf
An Artificial Neural Network Model based on Binary Particle Swarm Optimization for enhancing the efficiency of Software Defect Prediction.
ICSIM
Ruchika Malhotra, Sonali Chawla, Anjali Sharma
2023 J jnl
An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths.
Educ. Inf. Technol.
Ruchika Malhotra, Massoud Massoudi, Rajni Jindal
2023 J jnl
End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning.
IEEE Access
Ruchika Malhotra, Maru Tesfaye Addis
2023 J jnl
Examining deep learning's capability to spot code smells: a systematic literature review.
Clust. Comput.
Ruchika Malhotra, Bhawna Jain, Marouane Kessentini
2023 J jnl
On the applicability of search-based algorithms for software change prediction.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Megha Khanna
2023 J jnl
Recent advances in deep learning models: a systematic literature review.
Multim. Tools Appl.
Ruchika Malhotra, Priya Singh
2023 J jnl
Shifting from traditional engineering education towards competency-based approach: The most recommended approach-review.
Educ. Inf. Technol.
Ruchika Malhotra, Massoud Massoudi, Rajni Jindal
2023 J jnl
Software defect prediction using hybrid techniques: a systematic literature review.
Soft Comput.
Ruchika Malhotra, Sonali Chawla, Anjali Sharma
2023 — conf
Vulnerability Analysis of Docker Hub Official Images and Verified Images.
SOSE
Ruchika Malhotra, Anjali Bansal, Marouane Kessentini
2022 — conf
A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest.
APIT
Aaron Paul Jacob, Aryan Bansal, Ruchika Malhotra
2022 J jnl
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports.
Int. J. Inf. Retr. Res.
Ruchika Malhotra, Megha Khanna
2022 — conf
Decoding the Brain Waves using EEG signals for classifying Body Gestures by applying suitable ML & DL Techniques.
APIT
Ruchika Malhotra, Dhananjay Deswal, Jai Chaudhry
2022 J jnl
Defect prediction model using transfer learning.
Soft Comput.
Ruchika Malhotra, Shweta Meena
2022 J jnl
Handling class imbalance problem in software maintainability prediction: an empirical investigation.
Frontiers Comput. Sci.
Ruchika Malhotra, Kusum Lata
2022 J jnl
Predicting defects in imbalanced data using resampling methods: an empirical investigation.
PeerJ Comput. Sci.
Ruchika Malhotra, Juhi Jain
2022 — conf
Transductive Instance Transfer Learning for Cross-Language Defect Prediction.
APIT
Rahul Chopra, Shreoshi Roy, Ruchika Malhotra
2021 — conf
A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction.
APIT
Ruchika Malhotra, Anmol Budhiraja, Abhinav Kumar Singh, Ishani Ghoshal
2021 J jnl
An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models.
Neurocomputing
Ruchika Malhotra, Kusum Lata
2021 — conf
COVID'19 in India: Emotion of the Nation A novel Spatio-Temporal Unsupervised Sentiment Analysis.
BIBM
Ruchika Malhotra, Sarthak Aggarwal, Ridhima Bansal
2021 A conf
Comparative Study of Feature Reduction Techniques in Software Change Prediction.
MSR
Ruchika Malhotra, Ritvik Kapoor, Deepti Aggarwal, Priya Garg
2021 J jnl
Mining Non-Functional Requirements using Machine Learning Techniques.
e Informatica Softw. Eng. J.
Rajni Jindal, Ruchika Malhotra, Abha Jain, Ankita Bansal
2021 J jnl
Predicting Software Defects for Object-Oriented Software Using Search-based Techniques.
Int. J. Softw. Eng. Knowl. Eng.
Ruchika Malhotra, Juhi Jain
2020 J jnl
A systematic literature review on empirical studies towards prediction of software maintainability.
Soft Comput.
Ruchika Malhotra, Kusum Lata
2020 J jnl
An empirical study on predictability of software maintainability using imbalanced data.
Softw. Qual. J.
Ruchika Malhotra, Kusum Lata
2020 — conf
Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces.
REFSQ Workshops
Vaibhav Jain, Ruchika Malhotra, Sanskar Jain, Nishant Tanwar
2020 J jnl
Exploiting bad-smells and object-oriented characteristics to prioritize classes for refactoring.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Priya Singh
2020 B conf
Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques.
CEC
Ruchika Malhotra, Kusum Lata
2019 J jnl
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data.
Neurocomputing
Ruchika Malhotra, Shine Kamal
2019 J jnl
Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software.
Int. J. Rough Sets Data Anal.
Ruchika Malhotra, Megha Khanna
2019 J jnl
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization.
Inf. Softw. Technol.
Ruchika Malhotra, Megha Khanna
2019 J jnl
Empirical assessment of feature selection techniques in defect prediction models using web applications.
J. Intell. Fuzzy Syst.
Ruchika Malhotra, Anjali Sharma
2019 J jnl
Estimating the threshold of software metrics for web applications.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Anjali Sharma
2019 — conf
Prediction of employee performance using machine learning techniques.
AISS
Anu Singh Lather, Ruchika Malhotra, Priya Saloni, Prabhjot Singh, Sarthak Mittal
2019 J jnl
Software Change Prediction: A Systematic Review and Future Guidelines.
e Informatica Softw. Eng. J.
Ruchika Malhotra, Megha Khanna
2018 J jnl
An empirical study to evaluate the relationship of object-oriented metrics and change proneness.
Int. Arab J. Inf. Technol.
Ruchika Malhotra, Megha Khanna
2018 J jnl
An extensive analysis of search-based techniques for predicting defective classes.
Comput. Electr. Eng.
Ruchika Malhotra
2018 J jnl
Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications.
J. Inf. Process. Syst.
Ruchika Malhotra, Anjali Sharma
2018 J jnl
Investigation of various data analysis techniques to identify change prone parts of an open source software.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Ankita Jain Bansal
2018 J jnl
Particle swarm optimization-based ensemble learning for software change prediction.
Inf. Softw. Technol.
Ruchika Malhotra, Megha Khanna
2018 J jnl
Prediction of change prone classes using evolution-based and object-oriented metrics.
J. Intell. Fuzzy Syst.
Ruchika Malhotra, Megha Khanna
2018 J jnl
Software reliability prediction using machine learning techniques.
Int. J. Syst. Assur. Eng. Manag.
Arunima Jaiswal, Ruchika Malhotra
2018 J jnl
Threats to validity in search-based predictive modelling for software engineering.
IET Softw.
Ruchika Malhotra, Megha Khanna
2017 — conf
An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques.
ISEC
Ruchika Malhotra, Kusum Lata
2017 J jnl
An empirical study for software change prediction using imbalanced data.
Empir. Softw. Eng.
Ruchika Malhotra, Megha Khanna
2017 J jnl
An exploratory study for software change prediction in object-oriented systems using hybridized techniques.
Autom. Softw. Eng.
Ruchika Malhotra, Megha Khanna
2017 J jnl
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions.
Swarm Evol. Comput.
Ruchika Malhotra, Megha Khanna, Rajeev R. Raje
2017 J jnl
Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques.
J. Inf. Process. Syst.
Ruchika Malhotra, Ravi Jangra
2017 J jnl
Prediction of defect severity by mining software project reports.
Int. J. Syst. Assur. Eng. Manag.
Rajni Jindal, Ruchika Malhotra, Abha Jain
2017 J jnl
Quantitative evaluation of web metrics for automatic genre classification of web pages.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Anjali Sharma
2017 — conf
Software Quality Predictive Modeling: An Effective Assessment of Experimental Data.
ISEC
Ruchika Malhotra
2017 — conf
Software change prediction using voting particle swarm optimization based ensemble classifier.
GECCO (Companion)
Ruchika Malhotra, Megha Khanna
2017 J jnl
Special issue on search-based techniques and their hybridizations in software engineering.
Comput. Lang. Syst. Struct.
Ruchika Malhotra
2017 — conf
Tool to handle imbalancing problem in software defect prediction using oversampling methods.
ICACCI
Ruchika Malhotra, Shine Kamal
2016 — conf
An automated tool for generating change report from open-source software.
ICACCI
Ruchika Malhotra, Ankita Jain Bansal, Sourabh Jajoria
2016 J jnl
An empirical framework for defect prediction using machine learning techniques with Android software.
Appl. Soft Comput.
Ruchika Malhotra
2016 — conf
An empirical study to assess the effects of refactoring on software maintainability.
ICACCI
Ruchika Malhotra, Anuradha Chug
2016 — conf
Automated classification of security requirements.
ICACCI
Rajni Jindal, Ruchika Malhotra, Abha Jain
2016 — conf
Common threats to software quality predictive modeling studies using search-based techniques.
ICACCI
Ruchika Malhotra, Megha Khanna
2016 J jnl
Software Maintainability: Systematic Literature Review and Current Trends.
Int. J. Softw. Eng. Knowl. Eng.
Ruchika Malhotra, Anuradha Chug
2016 J jnl
Software change prediction: a literature review.
Int. J. Comput. Appl. Technol.
Ruchika Malhotra, Ankita Jain Bansal
2015 — conf
A Web Metric Collection and Reporting System.
WCI
Ruchika Malhotra, Anjali Sharma
2015 J jnl
A systematic review of machine learning techniques for software fault prediction.
Appl. Soft Comput.
Ruchika Malhotra
2015 J jnl
Fault prediction considering threshold effects of object-oriented metrics.
Expert Syst. J. Knowl. Eng.
Ruchika Malhotra, Ankita Jain Bansal
2015 — conf
Mining defect reports for predicting software maintenance effort.
ICACCI
Rajni Jindal, Ruchika Malhotra, Abha Jain
2015 — conf
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques.
ICACCI
Ruchika Malhotra, Megha Khanna
2015 — conf
Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality.
WCI
Ruchika Malhotra, Anuradha Chug, Priyanka Khosla
2015 — conf
Software Reliability Prediction Using Machine Learning Techniques.
SocProS (1)
Arunima Jaiswal, Ruchika Malhotra
2015 J jnl
Techniques for text classification: Literature review and current trends.
Webology
Rajni Jindal, Ruchika Malhotra, Abha Jain
2014 J jnl
A comparative study of models for predicting fault proneness in object-oriented systems.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2014 — conf
A new metric for predicting software change using gene expression programming.
WETSoM
Ruchika Malhotra, Megha Khanna
2014 — conf
An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction.
BICT
Ruchika Malhotra, Rajeev R. Raje
2014 — conf
Analyzing software change in open source projects using Artificial Immune System algorithms.
ICACCI
Ruchika Malhotra, Megha Khanna
2014 — conf
Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics.
BICT
Ruchika Malhotra, Anuradha Chug
2014 J jnl
Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Anuradha Chug
2014 J jnl
CMS tool: calculating defect and change data from software project repositories.
ACM SIGSOFT Softw. Eng. Notes
Ruchika Malhotra, Anushree Agrawal
2014 J jnl
Comparative analysis of statistical and machine learning methods for predicting faulty modules.
Appl. Soft Comput.
Ruchika Malhotra
2014 — conf
Cross project change prediction using open source projects.
ICACCI
Ruchika Malhotra, Ankita Jain Bansal
2014 — conf
Examining the effectiveness of machine learning algorithms for prediction of change prone classes.
HPCS
Ruchika Malhotra, Megha Khanna
2014 — conf
On the applicability of evolutionary computation for software defect prediction.
ICACCI
Ruchika Malhotra, Nakul Pritam, Yogesh Singh
2014 — conf
Search based techniques for software fault prediction: current trends and future directions.
SBST
Ruchika Malhotra
2013 — conf
A neuro-fuzzy classifier for website quality prediction.
ICACCI
Ruchika Malhotra, Anjali Sharma
2013 — conf
Application of adaptive neuro-fuzzy inference system for predicting software change proneness.
ICACCI
Akshit Peer, Ruchika Malhotra
2013 J jnl
Development of a framework for test case prioritization using genetic algorithm.
ACM SIGSOFT Softw. Eng. Notes
Ruchika Malhotra, Divya Tiwari
2013 J jnl
Heuristic search-based approach for automated test data generation: a survey.
Int. J. Bio Inspired Comput.
Ruchika Malhotra, Manju Khari
2013 J jnl
Investigation of relationship between object-oriented metrics and change proneness.
Int. J. Mach. Learn. Cybern.
Ruchika Malhotra, Megha Khanna
2013 J jnl
Reliability modeling using Particle Swarm Optimization.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Arun Negi
2012 J jnl
Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality.
J. Inf. Process. Syst.
Ruchika Malhotra, Ankita Jain Bansal
2011 J jnl
An Adequacy Based Test Data Generation Technique Using Genetic Algorithms.
J. Inf. Process. Syst.
Ruchika Malhotra, Mohit Garg
2011 J jnl
Software fault prediction for object oriented systems: a literature review.
ACM SIGSOFT Softw. Eng. Notes
Ruchika Malhotra, Ankita Jain Bansal
2010 J jnl
A Regression Test Selection and Prioritization Technique.
J. Inf. Process. Syst.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
Application of machine learning methods for software effort prediction.
ACM SIGSOFT Softw. Eng. Notes
Ruchika Malhotra, Arvinder Kaur, Guru Gobind Singh
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness models.
Softw. Qual. J.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Application of support vector machine to predict fault prone classes.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 — conf
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.
ICISTM
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Comparative analysis of regression and machine learning methods for predicting fault proneness models.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.
Softw. Process. Improv. Pract.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 B conf
Prediction of Software Quality Model Using Gene Expression Programming.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
XP
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 — conf
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.
Software Engineering Research and Practice
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Software Design Metrics for Object-Oriented Software.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2006 J jnl
Empirical Study of Object-Oriented Metrics.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2005 C conf
Software Reuse Metrics for Object-Oriented Systems.
SERA
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra