Ruchika Malhotra

Priya Singh

Multim. Tools Appl., December, 2023

Examining deep learning's capability to spot code smells: a systematic literature review.

[BibT_eX]

[DOI]

Bhawna Jain

Marouane Kessentini

Clust. Comput., December, 2023

Software defect prediction using hybrid techniques: a systematic literature review.

[BibT_eX]

[DOI]

Sonali Chawla

Soft Comput., June, 2023

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

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., February, 2023

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

[BibT_eX]

[DOI]

Massoud Massoudi

Educ. Inf. Technol., February, 2023

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

[BibT_eX]

[DOI]

Massoud Massoudi

Educ. Inf. Technol., 2023

End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning.

[BibT_eX]

[DOI]

Maru Tesfaye Addis

IEEE Access, 2023

Vulnerability Analysis of Docker Hub Official Images and Verified Images.

[BibT_eX]

[DOI]

Anjali Bansal

Marouane Kessentini

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.

[BibT_eX]

[DOI]

Sonali Chawla

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.

[BibT_eX]

[DOI]

Anshika Jain

Anurag Gupta

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

Software Defect.

[BibT_eX]

[DOI]

Arjun Rajpal

Dushyant Rathore

Dataset, May, 2022

Defect prediction model using transfer learning.

[BibT_eX]

[DOI]

Shweta Meena

Soft Comput., 2022

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

[BibT_eX]

[DOI]

Juhi Jain

PeerJ Comput. Sci., 2022

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

[BibT_eX]

[DOI]

Int. J. Inf. Retr. Res., 2022

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

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Decoding the Brain Waves using EEG signals for classifying Body Gestures by applying suitable ML & DL Techniques.

[BibT_eX]

[DOI]

Dhananjay Deswal

Jai Chaudhry

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.

[BibT_eX]

[DOI]

Aaron Paul Jacob

Aryan Bansal

Proceedings of the APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14, 2022

Transductive Instance Transfer Learning for Cross-Language Defect Prediction.

[BibT_eX]

[DOI]

Rahul Chopra

Shreoshi Roy

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.

[BibT_eX]

[DOI]

Juhi Jain

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.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Mining Non-Functional Requirements using Machine Learning Techniques.

[BibT_eX]

[DOI]

e Informatica Softw. Eng. J., 2021

Comparative Study of Feature Reduction Techniques in Software Change Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sarthak Aggarwal

Ridhima Bansal

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.

[BibT_eX]

[DOI]

Proceedings of the APIT 2021: 3rd Asia Pacific Information Technology Conference, 2021

2020

An empirical study on predictability of software maintainability using imbalanced data.

[BibT_eX]

[DOI]

Softw. Qual. J., 2020

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

[BibT_eX]

[DOI]

Soft Comput., 2020

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

[BibT_eX]

[DOI]

Priya Singh

Int. J. Syst. Assur. Eng. Manag., 2020

Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of REFSQ-2020 Workshops, 2020

Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Estimating the threshold of software metrics for web applications.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2019

Empirical assessment of feature selection techniques in defect prediction models using web applications.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2019

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

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

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

[BibT_eX]

[DOI]

Int. J. Rough Sets Data Anal., 2019

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

[BibT_eX]

[DOI]

Shine Kamal

Neurocomputing, 2019

Software Change Prediction: A Systematic Review and Future Guidelines.

[BibT_eX]

[DOI]

e Informatica Softw. Eng. J., 2019

Prediction of employee performance using machine learning techniques.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2018

Software reliability prediction using machine learning techniques.

[BibT_eX]

[DOI]

Arunima Jaiswal

Int. J. Syst. Assur. Eng. Manag., 2018

Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications.

[BibT_eX]

[DOI]

J. Inf. Process. Syst., 2018

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

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2018

Particle swarm optimization-based ensemble learning for software change prediction.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2018

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

[BibT_eX]

[DOI]

IET Softw., 2018

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

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2018

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

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2018

2017

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

[BibT_eX]

[DOI]

Rajeev R. Raje

Swarm Evol. Comput., 2017

Quantitative evaluation of web metrics for automatic genre classification of web pages.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2017

Prediction of defect severity by mining software project reports.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2017

Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques.

[BibT_eX]

[DOI]

Ravi Jangra

J. Inf. Process. Syst., 2017

An empirical study for software change prediction using imbalanced data.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2017

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

[BibT_eX]

[DOI]

Comput. Lang. Syst. Struct., 2017

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

[BibT_eX]

[DOI]

Autom. Softw. Eng., 2017

An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques.

[BibT_eX]

[DOI]

Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Software Quality Predictive Modeling: An Effective Assessment of Experimental Data.

[BibT_eX]

[DOI]

Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Tool to handle imbalancing problem in software defect prediction using oversampling methods.

[BibT_eX]

[DOI]

Shine Kamal

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Software change prediction using voting particle swarm optimization based ensemble classifier.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Software Maintainability: Systematic Literature Review and Current Trends.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2016

Software change prediction: a literature review.

[BibT_eX]

[DOI]

Int. J. Comput. Appl. Technol., 2016

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Advances in Computing, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Advances in Computing, 2016

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

[BibT_eX]

[DOI]

Sourabh Jajoria

Proceedings of the 2016 International Conference on Advances in Computing, 2016

Automated classification of security requirements.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

Techniques for text classification: Literature review and current trends.

[BibT_eX]

[DOI]

Webology, 2015

Fault prediction considering threshold effects of object-oriented metrics.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2015

A systematic review of machine learning techniques for software fault prediction.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

A Web Metric Collection and Reporting System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Priyanka Khosla

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Advances in Computing, 2015

Mining defect reports for predicting software maintenance effort.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

CMS tool: calculating defect and change data from software project repositories.

[BibT_eX]

[DOI]

Anushree Agrawal

ACM SIGSOFT Softw. Eng. Notes, 2014

Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2014

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

[BibT_eX]

[DOI]

Int. J. Comput. Appl. Technol., 2014

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

A new metric for predicting software change using gene expression programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 7th International Workshop on Search-Based Software Testing, 2014

On the applicability of evolutionary computation for software defect prediction.

[BibT_eX]

[DOI]

Nakul Pritam

Proceedings of the 2014 International Conference on Advances in Computing, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Cross project change prediction using open source projects.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Advances in Computing, 2014

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction.

[BibT_eX]

[DOI]

Rajeev R. Raje

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.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014

2013

Development of a framework for test case prioritization using genetic algorithm.

[BibT_eX]

[DOI]

Divya Tiwari

ACM SIGSOFT Softw. Eng. Notes, 2013

Reliability modeling using Particle Swarm Optimization.

[BibT_eX]

[DOI]

Arun Negi

Int. J. Syst. Assur. Eng. Manag., 2013

Investigation of relationship between object-oriented metrics and change proneness.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2013

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

[BibT_eX]

[DOI]

Manju Khari

Int. J. Bio Inspired Comput., 2013

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

[BibT_eX]

[DOI]

Akshit Peer

Proceedings of the International Conference on Advances in Computing, 2013

A neuro-fuzzy classifier for website quality prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Computing, 2013

2012

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

[BibT_eX]

[DOI]

J. Inf. Process. Syst., 2012

2011

Software fault prediction for object oriented systems: a literature review.

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, 2011

An Adequacy Based Test Data Generation Technique Using Genetic Algorithms.

[BibT_eX]

[DOI]

Mohit Garg

J. Inf. Process. Syst., 2011

2010

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

[BibT_eX]

[DOI]

Softw. Qual. J., 2010

Application of machine learning methods for software effort prediction.

[BibT_eX]

[DOI]

Guru Gobind Singh

ACM SIGSOFT Softw. Eng. Notes, 2010

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

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2010

A Regression Test Selection and Prioritization Technique.

[BibT_eX]

[DOI]

J. Inf. Process. Syst., 2010

2009

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

[BibT_eX]

[DOI]

Softw. Process. Improv. Pract., 2009

Application of support vector machine to predict fault prone classes.

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, 2009

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

[BibT_eX]

[DOI]

Int. J. Comput. Appl. Technol., 2009

Prediction of Software Quality Model Using Gene Expression Programming.

[BibT_eX]

[DOI]

Proceedings of the Product-Focused Software Process Improvement, 2009

Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.

[BibT_eX]

[DOI]

Proceedings of the Information Systems, Technology and Management, 2009

2008

Predicting Software Fault Proneness Model Using Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2008

2007

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

[BibT_eX]

[DOI]

J. Object Technol., 2007

Software Design Metrics for Object-Oriented Software.

[BibT_eX]

[DOI]

J. Object Technol., 2007

Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.

[BibT_eX]