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Meera Sharma
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2020 – today
- 2024
- [j10]Sushil Kumar, Meera Sharma, Sunil Kumar Muttoo, V. B. Singh:
Inter project defect classification based on word embedding. Int. J. Syst. Assur. Eng. Manag. 15(2): 621-634 (2024) - [j9]Meera Sharma, Madhu Kumari, V. B. Singh:
Bug summary entropy based training candidates identification in cross project severity prediction. Int. J. Syst. Assur. Eng. Manag. 15(3): 981-1014 (2024) - 2022
- [j8]Madhu Kumari, V. B. Singh, Meera Sharma:
Evaluating the Veracity of Software Bug Reports using Entropy-based Measures. Int. J. Open Source Softw. Process. 13(1): 1-21 (2022) - [c13]Lesley Wilton, Stephen Ip, Meera Sharma, Frank Fan:
Where Is the AI? AI Literacy for Educators. AIED (2) 2022: 180-188 - [c12]Sushil Kumar, Meera Sharma, Sunil Kumar Muttoo, V. B. Singh:
Autoclassify Software Defects Using Orthogonal Defect Classification. ICCSA (Workshops 5) 2022: 313-322 - 2020
- [c11]Madhu Kumari, Ujjawal Kumar Singh, Meera Sharma:
Entropy Based Machine Learning Models for Software Bug Severity Assessment in Cross Project Context. ICCSA (6) 2020: 939-953
2010 – 2019
- 2019
- [j7]Meera Sharma, Hoang Pham, V. B. Singh:
Modeling and analysis of leftover issues and release time planning in multi-release open source software using entropy based measure. Comput. Syst. Sci. Eng. 34(1) (2019) - [j6]Meera Sharma, Madhu Kumari, V. B. Singh:
Multi-attribute dependent bug severity and fix time prediction modeling. Int. J. Syst. Assur. Eng. Manag. 10(5): 1328-1352 (2019) - [c10]Kumari Seema Rani, Madhu Kumari, V. B. Singh, Meera Sharma:
Deep Learning with Big Data: An Emerging Trend. ICCSA (7) 2019: 93-101 - 2018
- [j5]Madhu Kumari, Meera Sharma, V. B. Singh:
Severity Assessment of a Reported Bug by Considering its Uncertainty and Irregular State. Int. J. Open Source Softw. Process. 9(4): 20-46 (2018) - [j4]V. B. Singh, Meera Sharma, Hoang Pham:
Entropy Based Software Reliability Analysis of Multi-Version Open Source Software. IEEE Trans. Software Eng. 44(12): 1207-1223 (2018) - [c9]Kamlesh Kumar Raghuvanshi, Meera Sharma, Abhishek Tandon, V. B. Singh:
Quantitative Quality Assessment of Open Source Software by Considering New Features and Feature Improvements. ICCSA (5) 2018: 412-423 - [i1]Meera Sharma, Abhishek Tandon, Madhu Kumari, V. B. Singh:
Reduction of Redundant Rules in Association Rule Mining-Based Bug Assignment. CoRR abs/1807.08906 (2018) - 2017
- [j3]V. B. Singh, Sanjay Misra, Meera Sharma:
Bug Severity Assessment in Cross Project Context and Identifying Training Candidates. J. Inf. Knowl. Manag. 16(1): 1750005:1-1750005:30 (2017) - [c8]V. B. Singh, K. K. Chaturvedi, Sujata Khatri, Meera Sharma:
Complexity of the Code Changes and Issues Dependent Approach to Determine the Release Time of Software Product. ICCSA (5) 2017: 519-529 - [c7]Meera Sharma, Abhishek Tondon:
Developing Prediction Models to Assist Software Developers and Support Managers. ICCSA (5) 2017: 548-560 - 2016
- [j2]Meera Sharma, V. B. Singh:
Clustering-based association rule mining for bug assignee prediction. Int. J. Bus. Intell. Data Min. 11(2): 130-150 (2016) - 2015
- [c6]Meera Sharma, Madhu Kumari, V. B. Singh:
The Way Ahead for Bug-fix time Prediction. QuASoQ/WAWSE/CMCE@APSEC 2015: 31-38 - [c5]Meera Sharma, Madhu Kumari, V. B. Singh:
Bug Assignee Prediction Using Association Rule Mining. ICCSA (4) 2015: 444-457 - [c4]Meera Sharma, Madhu Kumari, V. B. Singh:
Post Release Versions based Code Change Quality Metrics. WCI 2015: 235-243 - 2014
- [j1]Meera Sharma, Punam Bedi, V. B. Singh:
An empirical evaluation of cross project priority prediction. Int. J. Syst. Assur. Eng. Manag. 5(4): 651-663 (2014) - [c3]Meera Sharma, Madhu Kumari, R. K. Singh, V. B. Singh:
Multiattribute Based Machine Learning Models for Severity Prediction in Cross Project Context. ICCSA (5) 2014: 227-241 - [c2]V. B. Singh, Meera Sharma:
Prediction of the Complexity of Code Changes Based on Number of Open bugs, New Feature and Feature Improvement. ISSRE Workshops 2014: 478-483 - 2012
- [c1]Meera Sharma, Punam Bedi, K. K. Chaturvedi, V. B. Singh:
Predicting the priority of a reported bug using machine learning techniques and cross project validation. ISDA 2012: 539-545
Coauthor Index
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