Ruchika Malhotra
Orcid: 0000-0003-3872-6213
According to our database1,
Ruchika Malhotra
authored at least 114 papers
between 2005 and 2024.
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Bibliography
2024
A novel software defect prediction model using two-phase grey wolf optimisation for feature selection.
Clust. Comput., December, 2024
Multim. Tools Appl., November, 2024
Int. J. Syst. Assur. Eng. Manag., August, 2024
ACM Comput. Surv., August, 2024
Deployment and performance monitoring of docker based federated learning framework for software defect prediction.
Clust. Comput., August, 2024
Empirical validation of feature selection techniques for cross-project defect prediction.
Int. J. Syst. Assur. Eng. Manag., May, 2024
Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction.
J. Comput. Sci., 2024
A systematic review of hyperparameter tuning techniques for software quality prediction models.
Intell. Data Anal., 2024
IEEE Access, 2024
2023
Multim. Tools Appl., December, 2023
Examining deep learning's capability to spot code smells: a systematic literature review.
Clust. Comput., December, 2023
Soft Comput., June, 2023
Int. J. Syst. Assur. Eng. Manag., February, 2023
An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths.
Educ. Inf. Technol., February, 2023
Shifting from traditional engineering education towards competency-based approach: The most recommended approach-review.
Educ. Inf. Technol., 2023
IEEE Access, 2023
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023
An Artificial Neural Network Model based on Binary Particle Swarm Optimization for enhancing the efficiency of Software Defect Prediction.
Proceedings of the 2023 6th International Conference on Software Engineering and Information Management, 2023
A Comparative Study of Ethereum-Based and Web2.0-Based Personal Health Record Systems.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
Predicting defects in imbalanced data using resampling methods: an empirical investigation.
PeerJ Comput. Sci., 2022
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports.
Int. J. Inf. Retr. Res., 2022
Handling class imbalance problem in software maintainability prediction: an empirical investigation.
Frontiers Comput. Sci., 2022
Decoding the Brain Waves using EEG signals for classifying Body Gestures by applying suitable ML & DL Techniques.
Proceedings of the APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14, 2022
A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest.
Proceedings of the APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14, 2022
Proceedings of the APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14, 2022
2021
Predicting Software Defects for Object-Oriented Software Using Search-based Techniques.
Int. J. Softw. Eng. Knowl. Eng., 2021
An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models.
Neurocomputing, 2021
e Informatica Softw. Eng. J., 2021
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021
COVID'19 in India: Emotion of the Nation A novel Spatio-Temporal Unsupervised Sentiment Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction.
Proceedings of the APIT 2021: 3rd Asia Pacific Information Technology Conference, 2021
2020
An empirical study on predictability of software maintainability using imbalanced data.
Softw. Qual. J., 2020
A systematic literature review on empirical studies towards prediction of software maintainability.
Soft Comput., 2020
Exploiting bad-smells and object-oriented characteristics to prioritize classes for refactoring.
Int. J. Syst. Assur. Eng. Manag., 2020
Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces.
Proceedings of the Joint Proceedings of REFSQ-2020 Workshops, 2020
Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Int. J. Syst. Assur. Eng. Manag., 2019
Empirical assessment of feature selection techniques in defect prediction models using web applications.
J. Intell. Fuzzy Syst., 2019
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization.
Inf. Softw. Technol., 2019
Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software.
Int. J. Rough Sets Data Anal., 2019
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data.
Neurocomputing, 2019
e Informatica Softw. Eng. J., 2019
Proceedings of the AISS 2019: 2019 International Conference on Advanced Information Science and System, 2019
2018
Investigation of various data analysis techniques to identify change prone parts of an open source software.
Int. J. Syst. Assur. Eng. Manag., 2018
Int. J. Syst. Assur. Eng. Manag., 2018
J. Inf. Process. Syst., 2018
Prediction of change prone classes using evolution-based and object-oriented metrics.
J. Intell. Fuzzy Syst., 2018
Inf. Softw. Technol., 2018
IET Softw., 2018
An empirical study to evaluate the relationship of object-oriented metrics and change proneness.
Int. Arab J. Inf. Technol., 2018
Comput. Electr. Eng., 2018
2017
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions.
Swarm Evol. Comput., 2017
Quantitative evaluation of web metrics for automatic genre classification of web pages.
Int. J. Syst. Assur. Eng. Manag., 2017
Int. J. Syst. Assur. Eng. Manag., 2017
Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques.
J. Inf. Process. Syst., 2017
Empir. Softw. Eng., 2017
Special issue on search-based techniques and their hybridizations in software engineering.
Comput. Lang. Syst. Struct., 2017
An exploratory study for software change prediction in object-oriented systems using hybridized techniques.
Autom. Softw. Eng., 2017
Proceedings of the 10th Innovations in Software Engineering Conference, 2017
Proceedings of the 10th Innovations in Software Engineering Conference, 2017
Tool to handle imbalancing problem in software defect prediction using oversampling methods.
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Software change prediction using voting particle swarm optimization based ensemble classifier.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Int. J. Softw. Eng. Knowl. Eng., 2016
Int. J. Comput. Appl. Technol., 2016
An empirical framework for defect prediction using machine learning techniques with Android software.
Appl. Soft Comput., 2016
Common threats to software quality predictive modeling studies using search-based techniques.
Proceedings of the 2016 International Conference on Advances in Computing, 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2015
Webology, 2015
Expert Syst. J. Knowl. Eng., 2015
Appl. Soft Comput., 2015
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques.
Proceedings of the 2015 International Conference on Advances in Computing, 2015
Proceedings of the 2015 International Conference on Advances in Computing, 2015
2014
ACM SIGSOFT Softw. Eng. Notes, 2014
Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems.
Int. J. Syst. Assur. Eng. Manag., 2014
A comparative study of models for predicting fault proneness in object-oriented systems.
Int. J. Comput. Appl. Technol., 2014
Comparative analysis of statistical and machine learning methods for predicting faulty modules.
Appl. Soft Comput., 2014
Proceedings of the 5th International Workshop on Emerging Trends in Software Metrics, 2014
Search based techniques for software fault prediction: current trends and future directions.
Proceedings of the 7th International Workshop on Search-Based Software Testing, 2014
Proceedings of the 2014 International Conference on Advances in Computing, 2014
Analyzing software change in open source projects using Artificial Immune System algorithms.
Proceedings of the 2014 International Conference on Advances in Computing, 2014
Proceedings of the 2014 International Conference on Advances in Computing, 2014
Examining the effectiveness of machine learning algorithms for prediction of change prone classes.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014
An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction.
Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014
Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics.
Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014
2013
ACM SIGSOFT Softw. Eng. Notes, 2013
Int. J. Syst. Assur. Eng. Manag., 2013
Int. J. Mach. Learn. Cybern., 2013
Int. J. Bio Inspired Comput., 2013
Application of adaptive neuro-fuzzy inference system for predicting software change proneness.
Proceedings of the International Conference on Advances in Computing, 2013
Proceedings of the International Conference on Advances in Computing, 2013
2012
Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality.
J. Inf. Process. Syst., 2012
2011
ACM SIGSOFT Softw. Eng. Notes, 2011
J. Inf. Process. Syst., 2011
2010
Empirical validation of object-oriented metrics for predicting fault proneness models.
Softw. Qual. J., 2010
ACM SIGSOFT Softw. Eng. Notes, 2010
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.
Int. J. Syst. Assur. Eng. Manag., 2010
J. Inf. Process. Syst., 2010
2009
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.
Softw. Process. Improv. Pract., 2009
ACM SIGSOFT Softw. Eng. Notes, 2009
Comparative analysis of regression and machine learning methods for predicting fault proneness models.
Int. J. Comput. Appl. Technol., 2009
Proceedings of the Product-Focused Software Process Improvement, 2009
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.
Proceedings of the Information Systems, Technology and Management, 2009
2008
Proceedings of the Product-Focused Software Process Improvement, 2008
2007
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.
J. Object Technol., 2007
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007
2006
2005
Proceedings of the Third ACIS International Conference on Software Engineering, 2005