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)

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)

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)

A Regression Test Selection and Prioritization Technique. - Ruchika Malhotra; Arvinder Kaur; Yogesh Singh (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)

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

An Adequacy Based Test Data Generation Technique Using Genetic Algorithms. - Ruchika Malhotra; Mohit Garg (J. Inf. Process. Syst., 2011)

Software fault prediction for object oriented systems: a literature review. - Ruchika Malhotra; Ankita Jain Bansal (ACM SIGSOFT Softw. Eng. Notes, 2011)

Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality. - Ruchika Malhotra; Ankita Jain Bansal (J. Inf. Process. Syst., 2012)

A neuro-fuzzy classifier for website quality prediction. - Ruchika Malhotra; Anjali Sharma (ICACCI, 2013)

Application of adaptive neuro-fuzzy inference system for predicting software change proneness. - Akshit Peer; Ruchika Malhotra (ICACCI, 2013)

Heuristic search-based approach for automated test data generation: a survey. - Ruchika Malhotra; Manju Khari (Int. J. Bio Inspired Comput., 2013)

Investigation of relationship between object-oriented metrics and change proneness. - Ruchika Malhotra; Megha Khanna (Int. J. Mach. Learn. Cybern., 2013)

Reliability modeling using Particle Swarm Optimization. - Ruchika Malhotra; Arun Negi (Int. J. Syst. Assur. Eng. Manag., 2013)

Development of a framework for test case prioritization using genetic algorithm. - Ruchika Malhotra; Divya Tiwari (ACM SIGSOFT Softw. Eng. Notes, 2013)

Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics. - Ruchika Malhotra; Anuradha Chug (BICT, 2014)

An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction. - Ruchika Malhotra; Rajeev R. Raje (BICT, 2014)

Examining the effectiveness of machine learning algorithms for prediction of change prone classes. - Ruchika Malhotra; Megha Khanna (HPCS, 2014)

Cross project change prediction using open source projects. - Ruchika Malhotra; Ankita Jain Bansal (ICACCI, 2014)

Analyzing software change in open source projects using Artificial Immune System algorithms. - Ruchika Malhotra; Megha Khanna (ICACCI, 2014)

On the applicability of evolutionary computation for software defect prediction. - Ruchika Malhotra; Nakul Pritam; Yogesh Singh (ICACCI, 2014)

Search based techniques for software fault prediction: current trends and future directions. - Ruchika Malhotra (SBST, 2014)

A new metric for predicting software change using gene expression programming. - Ruchika Malhotra; Megha Khanna (WETSoM, 2014)

Comparative analysis of statistical and machine learning methods for predicting faulty modules. - Ruchika Malhotra (Appl. Soft Comput., 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)

Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems. - Ruchika Malhotra; Anuradha Chug (Int. J. Syst. Assur. Eng. Manag., 2014)

CMS tool: calculating defect and change data from software project repositories. - Ruchika Malhotra; Anushree Agrawal (ACM SIGSOFT Softw. Eng. Notes, 2014)

Mining defect reports for predicting software maintenance effort. - Rajni Jindal; Ruchika Malhotra; Abha Jain (ICACCI, 2015)

Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques. - Ruchika Malhotra; Megha Khanna (ICACCI, 2015)

Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality. - Ruchika Malhotra; Anuradha Chug; Priyanka Khosla (WCI, 2015)

A Web Metric Collection and Reporting System. - Ruchika Malhotra; Anjali Sharma (WCI, 2015)

A systematic review of machine learning techniques for software fault prediction. - Ruchika Malhotra (Appl. Soft Comput., 2015)

Fault prediction considering threshold effects of object-oriented metrics. - Ruchika Malhotra; Ankita Jain Bansal (Expert Syst. J. Knowl. Eng., 2015)

Techniques for text classification: Literature review and current trends. - Rajni Jindal; Ruchika Malhotra; Abha Jain (Webology, 2015)

Automated classification of security requirements. - Rajni Jindal; Ruchika Malhotra; Abha Jain (ICACCI, 2016)

An automated tool for generating change report from open-source software. - Ruchika Malhotra; Ankita Jain Bansal; Sourabh Jajoria (ICACCI, 2016)

An empirical study to assess the effects of refactoring on software maintainability. - Ruchika Malhotra; Anuradha Chug (ICACCI, 2016)

Common threats to software quality predictive modeling studies using search-based techniques. - Ruchika Malhotra; Megha Khanna (ICACCI, 2016)

An empirical framework for defect prediction using machine learning techniques with Android software. - Ruchika Malhotra (Appl. Soft Comput., 2016)

Software change prediction: a literature review. - Ruchika Malhotra; Ankita Jain Bansal (Int. J. Comput. Appl. Technol., 2016)

Software Maintainability: Systematic Literature Review and Current Trends. - Ruchika Malhotra; Anuradha Chug (Int. J. Softw. Eng. Knowl. Eng., 2016)

Software change prediction using voting particle swarm optimization based ensemble classifier. - Ruchika Malhotra; Megha Khanna (GECCO (Companion), 2017)

Tool to handle imbalancing problem in software defect prediction using oversampling methods. - Ruchika Malhotra; Shine Kamal (ICACCI, 2017)

Software Quality Predictive Modeling: An Effective Assessment of Experimental Data. - Ruchika Malhotra (ISEC, 2017)

An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques. - Ruchika Malhotra; Kusum Lata 003 (ISEC, 2017)

An exploratory study for software change prediction in object-oriented systems using hybridized techniques. - Ruchika Malhotra; Megha Khanna (Autom. Softw. Eng., 2017)

Special issue on search-based techniques and their hybridizations in software engineering. - Ruchika Malhotra (Comput. Lang. Syst. Struct., 2017)

An empirical study for software change prediction using imbalanced data. - Ruchika Malhotra; Megha Khanna (Empir. Softw. Eng., 2017)

Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques. - Ruchika Malhotra; Ravi Jangra (J. Inf. Process. Syst., 2017)

Prediction of defect severity by mining software project reports. - Rajni Jindal; Ruchika Malhotra; Abha Jain (Int. J. Syst. Assur. Eng. Manag., 2017)

Quantitative evaluation of web metrics for automatic genre classification of web pages. - Ruchika Malhotra; Anjali Sharma (Int. J. Syst. Assur. Eng. Manag., 2017)

On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions. - Ruchika Malhotra; Megha Khanna; Rajeev R. Raje (Swarm Evol. Comput., 2017)

An extensive analysis of search-based techniques for predicting defective classes. - Ruchika Malhotra (Comput. Electr. Eng., 2018)

An empirical study to evaluate the relationship of object-oriented metrics and change proneness. - Ruchika Malhotra; Megha Khanna (Int. Arab J. Inf. Technol., 2018)

Threats to validity in search-based predictive modelling for software engineering. - Ruchika Malhotra; Megha Khanna (IET Softw., 2018)

Particle swarm optimization-based ensemble learning for software change prediction. - Ruchika Malhotra; Megha Khanna (Inf. Softw. Technol., 2018)

Prediction of change prone classes using evolution-based and object-oriented metrics. - Ruchika Malhotra; Megha Khanna (J. Intell. Fuzzy Syst., 2018)

Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications. - Ruchika Malhotra; Anjali Sharma (J. Inf. Process. Syst., 2018)

Software reliability prediction using machine learning techniques. - Arunima Jaiswal; Ruchika Malhotra (Int. J. Syst. Assur. Eng. Manag., 2018)

Investigation of various data analysis techniques to identify change prone parts of an open source software. - Ruchika Malhotra; Ankita Jain Bansal (Int. J. Syst. Assur. Eng. Manag., 2018)

Prediction of employee performance using machine learning techniques. - Anu Singh Lather; Ruchika Malhotra; Priya Saloni; Prabhjot Singh; Sarthak Mittal (AISS, 2019)

Software Change Prediction: A Systematic Review and Future Guidelines. - Ruchika Malhotra; Megha Khanna (e Informatica Softw. Eng. J., 2019)

An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data. - Ruchika Malhotra; Shine Kamal (Neurocomputing, 2019)

Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software. - Ruchika Malhotra; Megha Khanna (Int. J. Rough Sets Data Anal., 2019)

Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization. - Ruchika Malhotra; Megha Khanna (Inf. Softw. Technol., 2019)

Empirical assessment of feature selection techniques in defect prediction models using web applications. - Ruchika Malhotra; Anjali Sharma (J. Intell. Fuzzy Syst., 2019)

Estimating the threshold of software metrics for web applications. - Ruchika Malhotra; Anjali Sharma (Int. J. Syst. Assur. Eng. Manag., 2019)

Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques. - Ruchika Malhotra; Kusum Lata 003 (CEC, 2020)

Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces. - Vaibhav Jain; Ruchika Malhotra; Sanskar Jain; Nishant Tanwar (REFSQ Workshops, 2020)

Exploiting bad-smells and object-oriented characteristics to prioritize classes for refactoring. - Ruchika Malhotra; Priya Singh (Int. J. Syst. Assur. Eng. Manag., 2020)

A systematic literature review on empirical studies towards prediction of software maintainability. - Ruchika Malhotra; Kusum Lata 003 (Soft Comput., 2020)

An empirical study on predictability of software maintainability using imbalanced data. - Ruchika Malhotra; Kusum Lata 003 (Softw. Qual. J., 2020)

A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction. - Ruchika Malhotra; Anmol Budhiraja; Abhinav Kumar Singh; Ishani Ghoshal (APIT, 2021)

COVID'19 in India: Emotion of the Nation A novel Spatio-Temporal Unsupervised Sentiment Analysis. - Ruchika Malhotra; Sarthak Aggarwal; Ridhima Bansal (BIBM, 2021)

Comparative Study of Feature Reduction Techniques in Software Change Prediction. - Ruchika Malhotra; Ritvik Kapoor; Deepti Aggarwal; Priya Garg (MSR, 2021)

Mining Non-Functional Requirements using Machine Learning Techniques. - Rajni Jindal; Ruchika Malhotra; Abha Jain; Ankita Bansal (e Informatica Softw. Eng. J., 2021)

An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models. - Ruchika Malhotra; Kusum Lata 003 (Neurocomputing, 2021)

Predicting Software Defects for Object-Oriented Software Using Search-based Techniques. - Ruchika Malhotra; Juhi Jain (Int. J. Softw. Eng. Knowl. Eng., 2021)

Transductive Instance Transfer Learning for Cross-Language Defect Prediction. - Rahul Chopra; Shreoshi Roy; Ruchika Malhotra (APIT, 2022)

A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest. - Aaron Paul Jacob; Aryan Bansal; Ruchika Malhotra (APIT, 2022)

Decoding the Brain Waves using EEG signals for classifying Body Gestures by applying suitable ML & DL Techniques. - Ruchika Malhotra; Dhananjay Deswal; Jai Chaudhry (APIT, 2022)

Handling class imbalance problem in software maintainability prediction: an empirical investigation. - Ruchika Malhotra; Kusum Lata 003 (Frontiers Comput. Sci., 2022)

A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports. - Ruchika Malhotra; Megha Khanna (Int. J. Inf. Retr. Res., 2022)

Predicting defects in imbalanced data using resampling methods: an empirical investigation. - Ruchika Malhotra; Juhi Jain (PeerJ Comput. Sci., 2022)

Defect prediction model using transfer learning. - Ruchika Malhotra; Shweta Meena (Soft Comput., 2022)

Software Defect. - Ruchika Malhotra; Arjun Rajpal; Dushyant Rathore (IEEE DataPort, 2022)

A Comparative Study of Ethereum-Based and Web2.0-Based Personal Health Record Systems. - Anshika Jain; Anurag Gupta; Ruchika Malhotra (ICCCNT, 2023)

An Artificial Neural Network Model based on Binary Particle Swarm Optimization for enhancing the efficiency of Software Defect Prediction. - Ruchika Malhotra; Sonali Chawla; Anjali Sharma (ICSIM, 2023)

Vulnerability Analysis of Docker Hub Official Images and Verified Images. - Ruchika Malhotra; Anjali Bansal; Marouane Kessentini (SOSE, 2023)

End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning. - Ruchika Malhotra; Maru Tesfaye Addis (IEEE Access, 2023)

Shifting from traditional engineering education towards competency-based approach: The most recommended approach-review. - Ruchika Malhotra; Massoud Massoudi; Rajni Jindal (Educ. Inf. Technol., 2023)

An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths. - Ruchika Malhotra; Massoud Massoudi; Rajni Jindal (Educ. Inf. Technol., 2023)

On the applicability of search-based algorithms for software change prediction. - Ruchika Malhotra; Megha Khanna (Int. J. Syst. Assur. Eng. Manag., 2023)

Software defect prediction using hybrid techniques: a systematic literature review. - Ruchika Malhotra; Sonali Chawla; Anjali Sharma (Soft Comput., 2023)

Examining deep learning's capability to spot code smells: a systematic literature review. - Ruchika Malhotra; Bhawna Jain; Marouane Kessentini (Clust. Comput., 2023)

Recent advances in deep learning models: a systematic literature review. - Ruchika Malhotra; Priya Singh (Multim. Tools Appl., 2023)

Handwritten Amharic Word Recognition With Additive Attention Mechanism. - Ruchika Malhotra; Maru Tesfaye Addis (IEEE Access, 2024)

A systematic review of hyperparameter tuning techniques for software quality prediction models. - Ruchika Malhotra; Madhukar Cherukuri (Intell. Data Anal., 2024)

Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction. - Ruchika Malhotra; Shweta Meena (J. Comput. Sci., 2024)

Empirical validation of feature selection techniques for cross-project defect prediction. - Ruchika Malhotra; Shweta Meena (Int. J. Syst. Assur. Eng. Manag., 2024)

Deployment and performance monitoring of docker based federated learning framework for software defect prediction. - Ruchika Malhotra; Anjali Bansal; Marouane Kessentini (Clust. Comput., 2024)

A Systematic Literature Review on Maintenance of Software Containers. - Ruchika Malhotra; Anjali Bansal; Marouane Kessentini (ACM Comput. Surv., 2024)

Text mining based an automatic model for software vulnerability severity prediction. - Ruchika Malhotra; Vidushi (Int. J. Syst. Assur. Eng. Manag., 2024)

A systematic review of transfer learning in software engineering. - Ruchika Malhotra; Shweta Meena (Multim. Tools Appl., 2024)

Ge'ez Digit Recognition Model Based on Convolutional Neural Network. - Ruchika Malhotra; Maru Tesfaye Addis (Appl. Artif. Intell., 2024)

A novel software defect prediction model using two-phase grey wolf optimisation for feature selection. - Ruchika Malhotra; Kishwar Khan (Clust. Comput., 2024)

OpTunedSMOTE: A novel model for automated hyperparameter tuning of SMOTE in software defect prediction. - Ruchika Malhotra; Kishwar Khan (Intell. Data Anal., 2025)

DHG-BiGRU: Dual-attention based hierarchical gated BiGRU for software defect prediction. - Ruchika Malhotra; Priya Singh (Inf. Softw. Technol., 2025)

Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation. - Ruchika Malhotra; Madhukar Cherukuri (J. Univers. Comput. Sci., 2025)

Validating multi-objective search algorithms to predict faulty classes. - Ruchika Malhotra; Monika Singh; Megha Khanna (Int. J. Syst. Assur. Eng. Manag., 2025)

Hybrid feature selection module for improving performance of software vulnerability severity prediction model on textual dataset. - Ruchika Malhotra; Vidushi (Computing, 2025)

Improving software vulnerability severity prediction model performance with HDLN & FWFS: a two-stage feature selection approach. - Ruchika Malhotra; Vidushi (Softw. Qual. J., 2025)

QNet: exploring deep learning for quantum code smell detection. - Ruchika Malhotra; Bhawna Jain; Marouane Kessentini (Softw. Qual. J., 2025)

Enhanced software change proneness prediction in android applications using balanced data techniques and advanced language models. - Ruchika Malhotra; Jyoti Patidar (Discov. Comput., 2025)