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

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

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

Sequencing of refactoring techniques by Greedy algorithm for maximizing maintainability. - Sandhya Tarwani; Anuradha Chug (ICACCI, 2016)

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

Agile Methodologies in Software Maintenance: A Systematic Review. - Sandhya Tarwani; Anuradha Chug (Informatica (Slovenia), 2016)

A quality enhancement through defect reduction using refactoring operation. - Anuradha Chug; Monika Gupta (ICACCI, 2017)

Determination of optimum refactoring sequence using A∗ algorithm after prioritization of classes. - Anuradha Chug; Sandhya Tarwani (ICACCI, 2017)

Evaluation of instance-based feature subset selection algorithm for maintainability prediction. - Kanika Gupta; Anuradha Chug (ICACCI, 2017)

Recent Advancements in Image-Based Prediction Models for Diagnosis of Plant Diseases. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (CVIP (1), 2018)

Prediction Models for Identification and Diagnosis of Tomato Plant Diseases. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (ICACCI, 2018)

Empirical Evaluation of Map Reduce Based Hybrid Approach for Problem of Imbalanced Classification in Big Data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Int. J. Grid High Perform. Comput., 2019)

Benchmarking framework for class imbalance problem using novel sampling approach for big data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Int. J. Syst. Assur. Eng. Manag., 2019)

Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (SCDM, 2020)

A Systematic Literature Survey of Software Metrics, Code Smells and Refactoring Techniques. - Mansi Agnihotri; Anuradha Chug (J. Inf. Process. Syst., 2020)

Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV). - Mansi Agnihotri; Anuradha Chug (IC3, 2021)

Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (IC3, 2021)

A Novel Hybrid Sampling Algorithm for Solving Class Imbalance Problem in Big Data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Adv. Data Sci. Adapt. Anal., 2021)

Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh (Int. J. Intell. Eng. Informatics, 2021)

Application of metaheuristic techniques in software quality prediction: a systematic mapping study. - Kirti Lakra; Anuradha Chug (Int. J. Intell. Eng. Informatics, 2021)

An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction. - Shikha Gupta; Anuradha Chug (Int. J. Interact. Multim. Artif. Intell., 2021)

A modified label propagation algorithm for community detection in attributed networks. - Deepanshu Malhotra; Anuradha Chug (Int. J. Inf. Manag. Data Insights, 2021)

Identifying the Optimal Refactoring Dependencies Using Heuristic Search Algorithms to Maximize Maintainability. - Anuradha Chug; Sandhya Tarwani (Int. J. Softw. Eng. Knowl. Eng., 2021)

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop. - Amit Prakash Singh; Priyanka Sahu; Anuradha Chug; Dinesh Singh (IEEE Access, 2022)

A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Intell. Data Anal., 2022)

A feature selection strategy for improving software maintainability prediction. - Shikha Gupta; Anuradha Chug (Intell. Data Anal., 2022)

Multi-Disease Classification in In-Field Coffee Leaves Using Cost-Efficient Ensemble Classifier. - Ayushi Gupta; Anuradha Chug; Amit Prakash Singh (ICCCNT, 2023)

A novel framework for image-based plant disease detection using hybrid deep learning approach. - Anuradha Chug; Anshul Bhatia; Amit Prakash Singh; Dinesh Singh (Soft Comput., 2023)

Fractional mega trend diffusion function-based feature extraction for plant disease prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Int. J. Mach. Learn. Cybern., 2023)

Classification of crop leaf diseases using image to image translation with deep-dream. - Priyanka Sahu; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Multim. Tools Appl., 2023)

PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants. - Shradha Verma; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Neural Comput. Appl., 2023)

Processing and optimized learning for improved classification of categorical plant disease datasets. - Ayushi Gupta; Anuradha Chug; Amit Prakash Singh (Intell. Data Anal., 2024)

Plant Disease Detection and Severity Assessment Using Image Processing and Deep Learning Techniques. - Shradha Verma; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (SN Comput. Sci., 2024)

Revisiting activation functions: empirical evaluation for image understanding and classification. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (Multim. Tools Appl., 2024)

Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality. - Mansi Agnihotri; Anuradha Chug (J. Softw. Evol. Process., 2024)

Understanding the effect of batch refactoring on software quality. - Mansi Agnihotri; Anuradha Chug (Int. J. Syst. Assur. Eng. Manag., 2024)

modSwish: a new activation function for neural network. - Heena Kalim; Anuradha Chug; Amit Prakash Singh (Evol. Intell., 2024)

Determination of optimum refactoring sequence for maximizing the maintainability of object-oriented systems using machine learning algorithms. - Sandhya Tarwani; Anuradha Chug (Int. J. Syst. Assur. Eng. Manag., 2025)