R. Malhotra

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A systematic review of machine learning techniques for software fault prediction

Ruchika Malhotra, R. Malhotra, 2015, Appl. Soft Comput..

Test Case Generation Using Adequacy-Based Genetic Algorithm

R. Malhotra, Shivani Pandey, 2021, Innovations in Computer Science and Engineering.

Empirical Validation of an Efficient Test Data Generation Algorithm Based on Adequacy based Testing Criteria

R. Malhotra, P. Sharma, M. Garg, 2012 .

An Evolving Neuro-PSO-based Software Maintainability Prediction

Rodrigo C. Barros, Yahya M. Tashtoush, Miriam A. M. Capretz, 2018 .

Software Defects and Object Oriented Metrics-An Empirical Analysis

Kadhim M. Breesam, K. Agarwal, Y. Singh, 2019 .

Predicting defects in imbalanced data using resampling methods: an empirical investigation

R. Malhotra, J. Jain, 2022, PeerJ Comput. Sci..

Prediction of change prone classes using evolution-based and object-oriented metrics

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2018, J. Intell. Fuzzy Syst..

Hybrid Differential Evolution and Tabu Search for Parameter Tuning in Software Defect

R. Malhotra, Ankur Tyagi, Diksha, 2022, 2022 IEEE 7th International conference for Convergence in Technology (I2CT).

Data and Compute Efficient Image Inpainting

R. Malhotra, Aditya Singh, Abhishek Aryan, 2022, 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).

STUDY OF TEACHING STYLES OF SECONDARY TEACHERS IN RELATION TO THEIR GENDER

R. Malhotra, Nainy Singh, 2012 .

EMPIRICAL ANALYSIS OF DETERMINANTS OF CAPITAL STRUCTURE IN SELECTED SECTORS

B. Bhatia, R. Malhotra, Pooja Arora, 2015 .

Effort Prediction using Statistical and Machine Learning Methods

R. Malhotra, 2011 .

Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2009, Softw. Process. Improv. Pract..

Investigation of relationship between object-oriented metrics and change proneness

R. Malhotra, Megha Khanna, 2012, International Journal of Machine Learning and Cybernetics.

Estimating the threshold of software metrics for web applications

R. Malhotra, Anjali Sharma, 2019, International Journal of System Assurance Engineering and Management.

Investigation of various data analysis techniques to identify change prone parts of an open source software

R. Malhotra, A. Bansal, Ankita Bansal, 2017, International Journal of System Assurance Engineering and Management.

Handling class imbalance problem in software maintainability prediction: an empirical investigation

R. Malhotra, K. Lata, 2021, Frontiers of Computer Science.

Towards formalizing adaptive software services

Ruchika Malhotra, Sonali Sharma, Rajeev Raje, 2016, 2016 1st India International Conference on Information Processing (IICIP).

An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2020, Neurocomputing.

An empirical study on predictability of software maintainability using imbalanced data

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2020, Software Quality Journal.

An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2017, ISEC.

Predicting Software Maintenance Effort by Mining Software Project Reports Using Inter-Version Validation

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2016 .

BENCHMARKING FRAMEWORK FOR MAINTAINABILITY PREDICTION OF OPEN SOURCE SOFTWARE USING OBJECT ORIENTED METRICS

Ruchika Malhotra, Anuradha Chug, A. Chug, 2016 .

Mining defect reports for predicting software maintenance effort

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Predicting Software Maintenance effort using neural networks

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2015, 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions).

On the Application of Cross-Project Validation for Predicting Maintainability of Open Source Software using Machine Learning Techniques

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2018, 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

Predicting defects in object-oriented software using cost-sensitive classification

R Malhotra, J Jain, R. Malhotra, 2021 .

Software Fault Proneness Prediction Using Support Vector Machines

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009 .

A comparative study of models for predicting fault proneness in object-oriented systems

Arvinder Kaur, Yogesh Singh, Ruchika Malhotra, 2014, Int. J. Comput. Appl. Technol..

An empirical study to evaluate the relationship of object-oriented metrics and change proneness

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2018, Int. Arab J. Inf. Technol..

On the Applicability of Machine Learning Techniques for Object Oriented Software Fault Prediction

Y. Singh, R. Malhotra, 2011 .

Application of machine learning methods for software effort prediction

Arvinder Kaur, Ruchika Malhotra, Guru Gobind Singh, 2010, SOEN.

Prediction of Fault-Prone Software Modules using Statistical and Machine Learning Methods

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010 .

Comparative analysis of regression and machine learning methods for predicting fault proneness models

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009, Int. J. Comput. Appl. Technol..

Application of Random Forest in Predicting Fault-Prone Classes

A. Kaur, R. Malhotra, A. Kaur, 2008, 2008 International Conference on Advanced Computer Theory and Engineering.

A Defect Prediction Model for Open Source Software

Ruchika Malhotra, R. Malhotra, 2012 .

Empirical validation of object-oriented metrics for predicting fault proneness models

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010, Software Quality Journal.

Recent advances in deep learning models: a systematic literature review

R. Malhotra, Priya Singh, 2023, Multimedia Tools and Applications.

Transductive Instance Transfer Learning for Cross-Language Defect Prediction

R. Malhotra, Rahul Chopra, Shreoshi Roy, 2022, APIT.

Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications

Ruchika Malhotra, Anjali Sharma, R. Malhotra, 2018, J. Inf. Process. Syst..

On the applicability of search-based algorithms for software change prediction

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2021, International Journal of System Assurance Engineering and Management.

Automated classification of security requirements

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Comparative analysis of J48 with statistical and machine learning methods in predicting fault-prone classes using object-oriented systems

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2011 .

Prediction of Software Quality Model Using Gene Expression Programming

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009, PROFES.

A neuro-fuzzy classifier for website quality prediction

Ruchika Malhotra, Anjali Sharma, R. Malhotra, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

License Plate Recognition System using Yolov5 and CNN

R. Malhotra, Yash Gupta, Shreya Raj, 2022, 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).

Comparative analysis of statistical and machine learning methods for predicting faulty modules

Ruchika Malhotra, R. Malhotra, 2014, Appl. Soft Comput..

Reliability modeling using Particle Swarm Optimization

Ruchika Malhotra, Arun Negi, R. Malhotra, 2013, International Journal of System Assurance Engineering and Management.

Cross project defect prediction for open source software

R. Malhotra, Anushree Agrawal, 2019, International Journal of Information Technology.

Using Ensembles for Class-Imbalance Problem to Predict Maintainability of Open Source Software

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2020 .

Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality

Ruchika Malhotra, Ankita Jain Bansal, R. Malhotra, 2012, J. Inf. Process. Syst..

A systematic literature review on empirical studies towards prediction of software maintainability

Ruchika Malhotra, Kusum Lata, R. Malhotra, 2020, Soft Computing.

Software fault prediction for object oriented systems: a literature review

Ruchika Malhotra, Ankita Jain Bansal, R. Malhotra, 2011, SOEN.

Predicting Software Fault Proneness Model Using Neural Network

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2008, PROFES.

Techniques for text classification: Literature review and current trends

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2015, Webology.

Comparison of Search based Techniques for Automated Test Data Generation

Ruchika Malhotra, Nikita Jain, Apoorva Mittal, 2014 .

Multiple Feature Selection Frameworks Based on Evolutionary Computing and Ensemble Learning for Software Defect Prediction

R. Malhotra, Abhinav Singh, Ishani Ghoshal, 2022, 2022 5th International Conference on Computational Intelligence and Networks (CINE).

Exploiting bad-smells and object-oriented characteristics to prioritize classes for refactoring

R. Malhotra, Priya Singh, 2020, International Journal of System Assurance Engineering and Management.

Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality

Ruchika Malhotra, Anuradha Chug, Priyanka Khosla, 2015, WCI '15.

Software reuse metrics for object-oriented systems

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2005, Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05).

An empirical study to assess the effects of refactoring on software maintainability

Ruchika Malhotra, Anuradha Chug, A. Chug, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Heuristic search-based approach for automated test data generation: a survey

Manju Khari, Ruchika Malhotra, R. Malhotra, 2013, Int. J. Bio Inspired Comput..

Analysis of Refactoring Effect on Software Quality of Object-Oriented Systems

Ruchika Malhotra, Juhi Jain, R. Malhotra, 2018, International Conference on Innovative Computing and Communications.

An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

Ruchika Malhotra, Shine Kamal, R. Malhotra, 2019, Neurocomputing.

Shifting from traditional engineering education towards competency-based approach: The most recommended approach-review

R. Malhotra, Rajni Jindal, M. Massoudi, 2023, Education and Information Technologies.

Software reliability prediction using machine learning techniques

R. Malhotra, Arunima Jaiswal, 2018, Int. J. Syst. Assur. Eng. Manag..

Software defect prediction using hybrid techniques: a systematic literature review

R. Malhotra, Anjali Sharma, Sonali Chawla, 2023, Soft Computing.

Fault prediction considering threshold effects of object‐oriented metrics

Ruchika Malhotra, Ankita Jain Bansal, R. Malhotra, 2015, Expert Syst. J. Knowl. Eng..

On the applicability of evolutionary computation for software defect prediction

Ruchika Malhotra, Yogesh Singh, Nakul Pritam, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Application of Particle Swarm Optimization for Software Defect Prediction Using Object Oriented Metrics

R. Malhotra, Nishant Nishant, Spandun Gurha, 2021, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

An extensive analysis of search-based techniques for predicting defective classes

Ruchika Malhotra, R. Malhotra, 2018, Comput. Electr. Eng..

Parameter Tuning on Software Defect Prediction Using Differential Evolution & Simulated Annealing

Ruchika Malhotra, Arjun Rajpal, Dushyant Rathore, 2018, 2018 International Conference on Big Data and Artificial Intelligence (BDAI).

On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions

Rajeev R. Raje, Ruchika Malhotra, Megha Khanna, 2017, Swarm Evol. Comput..

Search based techniques for software fault prediction: current trends and future directions

Ruchika Malhotra, R. Malhotra, 2014, SBST 2014.

Handwriting Recognition for Medical Prescriptions using a CNN-Bi-LSTM Model

R. Malhotra, Tavish Jain, Rohan Sharma, 2021, 2021 6th International Conference for Convergence in Technology (I2CT).

Landslide Prediction using CNN with Data Modeling and Feature Reduction using Median Pooling

R. Malhotra, Ashutosh Raturi, Abhinav Thapper, 2021, 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).

Investigation of various data analysis techniques to identify change prone parts of an open source software

Ruchika Malhotra, Ankita Jain Bansal, R. Malhotra, 2018, Int. J. Syst. Assur. Eng. Manag..

Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010, Int. J. Syst. Assur. Eng. Manag..

Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2007, J. Object Technol..

A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports

R. Malhotra, Megha Khanna, 2022, Int. J. Inf. Retr. Res..

Change prediction model using evolutionary history of a software — An automated tool

Ruchika Malhotra, Aastha Gupta, Aryan, 2017, 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON).

Analyzing software change in open source projects using Artificial Immune System algorithms

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Analyzing the Effectiveness of Machine Learning Algorithms for Determining Faulty Classes: A Comparative Analysis

Ruchika Malhotra, Prabhpahul Singh, Siddartha Bansal, 2019, 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest

R. Malhotra, Aaron Paul Jacob, Aryan Bansal, 2022, APIT.

Empirical comparison of machine learning algorithms for bug prediction in open source software

Ruchika Malhotra, Laavanye Bahl, Sushant Sehgal, 2017, 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC).

Assessment of defect prediction models using machine learning techniques for object-oriented systems

Ruchika Malhotra, Shivani Shukla, Geet Sawhney, 2016, 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

Cross project defect prediction for open source software

Ruchika Malhotra, Anushree Agrawal, R. Malhotra, 2019, International Journal of Information Technology.

Empirical validation of feature selection techniques for cross-project defect prediction

R. Malhotra, S. Meena, 2023, Int. J. Syst. Assur. Eng. Manag..

An empirical framework for defect prediction using machine learning techniques with Android software

Ruchika Malhotra, R. Malhotra, 2016, Appl. Soft Comput..

Defect prediction model using transfer learning

R. Malhotra, S. Meena, 2022, Soft Computing.

Severity Assessment of Software Defect Reports using Text Classification

Ruchika Malhotra, Nidhi Kapoor, Rishabh Jain, 2013 .

User Targeted Offline Advertising using Recognition Based Demographics and Queue Scheduling

R. Malhotra, Samarth Gupta, Sarthak Katyal, 2020 .

Bug localization in software using NSGA-II

Ruchika Malhotra, Simran Aggarwal, Rishab Girdhar, 2018, 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).

Threats to validity in search-based predictive modelling for software engineering

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2018, IET Softw..

SAGA: A Hybrid Technique to handle Imbalance Data in Software Defect Prediction

R. Malhotra, Parth Sharma, Ritvik Kapoor, 2021, 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).

An exploratory study for software change prediction in object-oriented systems using hybridized techniques

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2017, Automated Software Engineering.

Common threats to software quality predictive modeling studies using search-based techniques

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Special issue on search-based techniques and their hybridizations in software engineering

Ruchika Malhotra, R. Malhotra, 2017, Comput. Lang. Syst. Struct..

An Adequacy Based Test Data Generation Technique Using Genetic Algorithms

Ruchika Malhotra, Mohit Garg, R. Malhotra, 2011, J. Inf. Process. Syst..

Transfer Learning Code Vectorizer based Machine Learning Models for Software Defect Prediction

Ruchika Malhotra, Jasmeet Singh, Rituraj Singh, 2020, 2020 International Conference on Computational Performance Evaluation (ComPE).

Prediction of defect severity by mining software project reports

Ruchika Malhotra, Rajni Jindal, Abha Jain, 2017, Int. J. Syst. Assur. Eng. Manag..

An empirical study for software change prediction using imbalanced data

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2017, Empirical Software Engineering.

Software Maintainability: Systematic Literature Review and Current Trends

Anuradha Chug, Ruchika Malhotra, A. Chug, 2016, Int. J. Softw. Eng. Knowl. Eng..

Threshold benchmarking for feature ranking techniques

Ruchika Malhotra, Anjali Sharma, R. Malhotra, 2021 .

Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2019, Inf. Softw. Technol..

Particle swarm optimization-based ensemble learning for software change prediction

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2018, Inf. Softw. Technol..

Examining the effectiveness of machine learning algorithms for prediction of change prone classes

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2019, Int. J. Rough Sets Data Anal..

SYSTEMATIC LITERATURE REVIEWS: AN INTRODUCTION

R. Malhotra, 2019 .

Impact of Word Embedding Methods on Software Vulnerability Severity Prediction Models

R. Malhotra, Vidushi Vidushi, 2023, 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

Application of adaptive neuro-fuzzy inference system for predicting software change proneness

Ruchika Malhotra, Akshit Peer, R. Malhotra, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Investigation of relationship between object-oriented metrics and change proneness

Ruchika Malhotra, Megha Khanna, R. Malhotra, 2013, Int. J. Mach. Learn. Cybern..

Reliability modeling using Particle Swarm Optimization

R. Malhotra, Arun Negi, 2013, International Journal of System Assurance Engineering and Management.

Predicting Testing Effort Using Artificial Neural Network

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2008 .

PREDICTING SOFTWARE CHANGE IN AN OPEN SOURCE SOFTWARE USING MACHINE LEARNING ALGORITHMS

Ruchika Malhotra, Ankita Jain Bansal, R. Malhotra, 2013 .

Prediction of employee performance using machine learning techniques

Ruchika Malhotra, Prabhjot Singh, Anu Singh Lather, 2019, AISS.

An automated tool for generating change report from open-source software

Ruchika Malhotra, Ankita Jain Bansal, Sourabh Jajoria, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Application of Random Vector Functional Link Network for Software Defect Prediction

Ruchika Malhotra, Deepti Aggarwal, Priya Garg, 2021, Proceedings of Emerging Trends and Technologies on Intelligent Systems.

An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths

R. Malhotra, Rajni Jindal, M. Massoudi, 2022, Education and Information Technologies.

Software defect prediction using Binary Particle Swarm Optimization with Binary Cross Entropy as the fitness function

R Malhotra, A Shakya, R Ranjan, 2021, Journal of Physics: Conference Series.