| Agile methodologies in software maintenance: A systematic review S Tarwani, A Chug Informatica 40 (4), 2016 | 33 | 2016 |
| An empirical investigation of evolutionary algorithm for software maintainability prediction A Jain, S Tarwani, A Chug 2016 IEEE Students' Conference on Electrical, Electronics and Computer …, 2016 | 31 | 2016 |
| Sequencing of refactoring techniques by Greedy algorithm for maximizing maintainability S Tarwani, A Chug 2016 International Conference on Advances in Computing, Communications and …, 2016 | 24 | 2016 |
| Prioritization of code restructuring for severely affected classes under release time constraints S Tarwani, A Chug 2016 1st India International Conference on Information Processing (IICIP), 1-6, 2016 | 15 | 2016 |
| Assessment of optimum refactoring sequence to improve the software quality of object-oriented software S Tarwani, A Chug Journal of Information and Optimization Sciences 41 (6), 1433-1442, 2020 | 11 | 2020 |
| Predicting maintainability of open source software using gene expression programming and bad smells S Tarwani, A Chug 2016 5th international conference on reliability, Infocom technologies and …, 2016 | 11 | 2016 |
| Determination of optimum refactoring sequence using A* algorithm after prioritization of classes A Chug, S Tarwani 2017 International Conference on Advances in Computing, Communications and …, 2017 | 7 | 2017 |
| Application of deep learning models for code smell prediction S Tarwani, A Chug 2022 10th International Conference on Reliability, Infocom Technologies and …, 2022 | 6 | 2022 |
| Investigating optimum refactoring sequence using hill-climbing algorithm S Tarwani, A Chug Journal of Information and Optimization Sciences 41 (2), 499-508, 2020 | 4 | 2020 |
| Identifying the Optimal Refactoring Dependencies Using Heuristic Search Algorithms to Maximize Maintainability A Chug, S Tarwani International Journal of Software Engineering and Knowledge Engineering 31 …, 2021 | 3 | 2021 |
| Application of AO* Algorithm in Recognizing the Optimum Refactoring sequence for examining the effect on Maintainability: An Empirical Study S Tarwani, A Chug 2021 11th International Conference on Cloud Computing, Data Science …, 2021 | 3 | 2021 |
| Illustration and detection of exception handling bad smells S Tarwani, A Chug 2021 8th International Conference on Computing for Sustainable Global …, 2021 | 1 | 2021 |
| A Survey on Data Mining I Kumar, S Tarwani International Journal for Research in Applied Science & Engineering …, 2017 | | 2017 |
| Requirement of Biometrics System: A Systematic M Majumdar, S Tarwani | | 2017 |
| Techniques and Challenges of Opinion Mining for Sentimental Analysis: A Survey V Batra, A Bhatia, A Khanna, S Tarwani | | 2017 |
| Investigating the Effectiveness of Greedy Algorithm on Open Source Software Systems for Determining Refactoring Sequence. S Tarwani, A Sureka QuASoQ@ APSEC, 43-50, 2017 | | 2017 |
| Improving Software Maintainability Using Optimum Refactoring Sequence S Tarwani, A Chug | | |
Dr. Anuradha ChugAssociate Professor, University School of Information and Communication TechnologyVerified email at ipu.ac.in
