Name
Affiliation
Papers
RUCHIKA MALHOTRA
Delhi Technol Univ, Dept Comp Engn, Dept Software Engn, Bawana Rd, Delhi 110042, India
69
Collaborators
Citations 
PageRank 
43
533
35.12
Referers 
Referees 
References 
877
1338
1232
Search Limit
1001000
Title
Citations
PageRank
Year
Predicting defects in imbalanced data using resampling methods: an empirical investigation00.342022
Defect prediction model using transfer learning00.342022
Comparative Study of Feature Reduction Techniques in Software Change Prediction00.342021
Predicting Software Defects For Object-Oriented Software Using Search-Based Techniques00.342021
An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models00.342021
A systematic literature review on empirical studies towards prediction of software maintainability.00.342020
Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques.00.342020
An Empirical Study On Predictability Of Software Maintainability Using Imbalanced Data10.352020
Exploiting Bad-Smells And Object-Oriented Characteristics To Prioritize Classes For Refactoring00.342020
Empirical assessment of feature selection techniques in defect prediction models using web applications.00.342019
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization20.402019
Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software.00.342019
Estimating the threshold of software metrics for web applications00.342019
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data.40.382019
Software Change Prediction: A Systematic Review and Future Guidelines00.342019
Prediction of change prone classes using evolution-based and object-oriented metrics.10.352018
An Empirical Study To Evaluate The Relationship Of Object-Oriented Metrics And Change Proneness00.342018
Software reliability prediction using machine learning techniques.30.372018
An extensive analysis of search-based techniques for predicting defective classes.00.342018
Analyzing Machine Learning Techniques For Fault Prediction Using Web Applications10.352018
Threats to validity in search-based predictive modelling for software engineering.10.352018
Particle swarm optimization-based ensemble learning for software change prediction.10.352018
Quantitative evaluation of web metrics for automatic genre classification of web pages10.352017
Software Quality Predictive Modeling: An Effective Assessment of Experimental Data.00.342017
An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques.00.342017
An exploratory study for software change prediction in object-oriented systems using hybridized techniques.130.682017
Special issue on search-based techniques and their hybridizations in software engineering.00.342017
Software change prediction using voting particle swarm optimization based ensemble classifier.10.342017
Prediction & Assessment Of Change Prone Classes Using Statistical & Machine Learning Techniques50.562017
Prediction of defect severity by mining software project reports.40.402017
An empirical study for software change prediction using imbalanced data.80.482017
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions.40.502017
An empirical framework for defect prediction using machine learning techniques with Android software.60.482016
Software Maintainability: Systematic Literature Review And Current Trends00.342016
A systematic review of machine learning techniques for software fault prediction.822.232015
Mining defect reports for predicting software maintenance effort00.342015
Techniques for text classification: Literature review and current trends.20.442015
A Web Metric Collection and Reporting System00.342015
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques40.372015
A comparative study of models for predicting fault proneness in object-oriented systems50.432014
Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems.100.502014
Analyzing software change in open source projects using Artificial Immune System algorithms00.342014
Comparative analysis of statistical and machine learning methods for predicting faulty modules.190.782014
A new metric for predicting software change using gene expression programming40.372014
An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction.30.362014
CMS tool: calculating defect and change data from software project repositories00.342014
Search based techniques for software fault prediction: current trends and future directions20.352014
Cross project change prediction using open source projects60.422014
A neuro-fuzzy classifier for website quality prediction20.392013
Development of a framework for test case prioritization using genetic algorithm10.352013
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