NIT Warangal

Information

Room No: Room No: 149, CSE Clusters, Department of Computer Science and Engineering +91-870-2462720 manjubalabisi@nitw.ac.in Bio Sketch

Key Notes

Journal(s): 11
Conference(s): 18
Book Chapter(s): 1
Text Book(s): 1
PhD: Current - 5 Awarded - 1

31

PUBLICATIONS

6

DOCTORAL STUDENTS

1

PROJECT

Research Areas

Machine Learning;

Optimization Techniques

Soft Computing Techniques

Software Engineering

Software Reliability Modelling and Prediction

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	Indian Institute Of Technology Kharagpur	2016
Master of Technology	National Institute of Technical Teachers' Training and Research, Kolkata	2007

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Theory of Computation(CS1201)	3-1-0	4	UG
Soft Computing Techniques(CS37035)	3-0-0	3	PG
Software Engineering(CS1204)	3-0-2	4	UG
Optimization Techniques(CS1104)	3-0-0	3	UG
Programming and Data Structures(CS1101)	3-0-0	3	UG
Problem Solving and Computer Programming(CS101)	3-0-0	3	UG
Modelling and Optimization Techniques(CS252)	3-0-0	3	UG
Soft Computing Techniques(CS6328)	3-0-0	3	PG
Algorithm Analysis and Design(CS5353)	3-0-0	3	PG
Advanced Software Engineering(CS5105)	3-0-0	3	UG, PG

RESEARCH IDs

PUBLICATIONS

Journal(s)

A source project selection based cross-project fault prediction with imbalance learning and feature selection technique, By Manchala Pravali, and Manjubala Bisi., Springer, The Journal of Supercomputing, vol.81 (1), pp.1 - 47, 2025

Ensembling Harmony Search Algorithm with case-based reasoning for software development effort estimation, By Sarika Mustyala and Manjubala Bisi, Springer, Cluster Computing , vol.28 (2), pp.1 - 27, 2025

Ensemble learning and stacked convolutional neural network for Covid-19 situational information analysis using social media data, By Manjubala Bisi and Rahul Maurya, Springer, Multimedia Tools and Applications, vol.83, pp.75627–75651, 2024

TSoptEE: two-stage optimization technique for software development effort estimation, By Manchala Pravali, and Manjubala Bisi, Springer, Cluster Computing , vol.27, pp.8889–8908, 2024

Multi Objective Binary Rao Feature Optimization for Software Defect Prediction using Machine Learning Models, By Manchala Pravali, Ankur Tiwari, and Manjubala Bisi, Springer, Soft Computing, vol.28, pp.13541–13565, 2024

A study on cross-project fault prediction through resampling and feature reduction along with source projects selection, By Manchala Pravali, and Manjubala Bisi. , Springer, Automated Software Engineering, vol.31 (67), pp.1 - 48, 2024

BAFS: Binary artificial bee colony based feature selection approach to estimate software development effort, By Pravali Manchala, Manjubala Bisi and Sonali Agrawal, Springer, International Journal of Information Technology, vol.15, pp.2975-2986, 2023

Diversity based imbalance learning approach for software fault prediction using machine learning models, By Pravali Manchala and Manjubala Bisi, Elsevier, Applied Soft Computing, vol.124 , 109069, pp., 2022

Software development efforts prediction using artificial neural network, By Manjubala Bisi and Neeraj Kumar Goyal, IET, IET Software, vol.10, pp.63-71, 2016

An ANN-PSO based model to predict software fault-prone modules, By Manjubala Bisi and Neeraj Kumar Goyal, Inderscience Publishers, International Journal of Reliability and Safety, vol.10, pp.243-264, 2016

Early prediction of software fault-prone module using artificial neural network, By Manjubala Bisi and Neeraj Kumar Goyal, RAMS Consultants, International Journal of Performability Engineering, vol.11, pp.43-52, 2015

Conference(s)

Software Development Effort Estimation using SNS Algorithm By Diksha Jain, Pravali Manchala, Sarika Mustyala, and Manjubala Bisi, IEEE 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2024

Software Fault Localization using CNN-LSTM Model By Vishwank Vikram Singh, and Manjubala Bisi, IEEE 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2024

Optimizing Automatic Test Case Generation Using Singular Value Decomposition Approach By Manjubala Bisi, Aryan Srivastava, Abhishek Verma, and Aditya Kumar, IEEE 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2024

Software Effort Estimation using Multi-objective Binary Rao Algorithm By Sai Vivek Kadali, Sai Vamsi Sahukari, Vasantha Eswari Devi Kalyanam and Manjubala Bisi, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT),, 2023

Software Fault Localization using Jaya Algorithm-PSO based approach By Manjubala Bisi and Vijay Vishvkarma, 20th India Council International Conference (INDICON) , 2023

Source Project Selection for Cross-Project Software Defect Prediction using Clustering Approach By Mohit Patil, Manjubala Bisi and Pravali Manchala, 20th India Council International Conference (INDICON) , 2023

Sentiment Analysis of Tweets during Covid-19 Lockdown in India By Deepanshu Jindal, Yash Kumawat, Aditya Kumar Sharma and Manjubala Bisi, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT),, 2023

Code Injection Attacks Detection in Hybrid Applications using CNN By P.S Puvadda, S. Viswaja and Manjubala Bisi, 3rd International Conference, Advances in Distributed Computing and Machine Learning (ADCML), 2022

, Teaching Learning Based Optimization Model to Generate Software Test Cases, By S. Jha and Manjubala Bisi, 3rd International Conference, Advances in Distributed Computing and Machine Learning (ADCML), 2022

Ensembling Teaching-Learning-Based Optimization Algorithm with Analogy-Based Estimation to Predict Software Development Effort By Pravali Manchala and Manjubala Bisi, 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2022

Learning Automata based Feature Selection for Duplex Output Software Effort Estimation Model By K, R Rathod, S. Bansal, Y. H Kndpal and M. Bisi, 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021

Software Fault-Prone Module Classification Using Learning Automata based Deep Neural Network Model By M. M Ahmed, B. S Kiran, P.H Sai and M. Bisi,, 12th International Conference on Computing Communication and Networking Technologies (ICCCNT),, 2021

An ANN-TLBO Model to Predict Cumulative Number of Failures in Software By M. Bisi, IEEE HYDCON, 2020

ANN-PSO Approach on Logistic Model based Software Reliability Prediction By M. Bisi, 4th Conference on Information & Communication Technology (CICT), 2020

CNN-BPSO Model for Multi Classification of Tweets By M. Bisi, A.Divija, S. Namala and R. Sarap, 4th Conference on Information & Communication Technology (CICT, 2020

CNN-BPSO approach to Select Optimal Values of CNN Parameters for Software Requirements Classification, By M. Bisi and K Keskar, 17th India Council International Conference (INDICON), 2020

A BPSO-ANN Model for Trust Prediction of Cloud Services By M. Bisi and S. Patel, IEEE Global Conference for Advancement in Technology (GCAT 2019), 2019

Predicting cumulative number of failures in software using an ANN-PSO based approach By M. Bisi and N.K. Goyal,, 1st International Conference on Computational Intelligence and Networks, 2015

Text Book(s)

Artificial Neural Network Applications for Software Reliability Prediction By Manjubala Bisi and Neeraj Kumar Goyal (Published by: Willey), Research Book, 2017

Book Chapter(s)

Case Studies: Machine Learning Approaches for Software Development Effort Estimation By Mustalya Sarika, Manchala Pravali and Manjubala Bisi in Boosting Software Development using Machine Learning, Springer, Artificial Intelligence-Enhanced Software and Systems Engineering, 2025

PROJECT / CONSULTANCY

Design and Analysis of a Reliable Wireless Body Area Network (WBAN) for Health Monitoring

Role: Principal Investigator
Type: Research
Sponsor: Research Seed Money Grant ( NIT Warangal)
Project Cost (INR): 480000
Date of Commencement: 15-07-2019 Date of Completion: 30-06-2021
Duration: 23 Months
Status: Completed

RESEARCH FELLOWS / PhD STUDENTS