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ORCIDNadia Nahar
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2020 – today
- 2024
[c11]Nadia Nahar
, Jenny Rowlett, Matthew Bray, Zahra Abba Omar, Xenophon Papademetris, Alka Menon, Christian Kästner:
Regulating Explainability in Machine Learning Applications - Observations from a Policy Design Experiment. FAccT 2024: 2101-2112- 2023
- [c10]Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. CAIN 2023: 171-183 - [c9]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability. CHI 2023: 749:1-749:17 - [i7]Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. CoRR abs/2304.00078 (2023) - [i6]Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Dataset and Analysis of Open-Source Machine Learning Products. CoRR abs/2308.04328 (2023) - 2022
- [c8]Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner:
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process. ICSE 2022: 413-425 - [i5]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. CoRR abs/2204.06425 (2022) - 2021
- [c7]Moumita Asad, Rafed Muhammad Yasir, Shihab Shahriar Khan, Nadia Nahar, Md. Nurul Ahad Tawhid:
Analyzing Program Comprehensibility of Go Projects. SEKE 2021: 255-260 - [i4]Fazle Rabbi, Nishat Tasnim Niloy, Nadia Nahar, Md. Nurul Ahad Tawhid:
SysMap: A Lightweight Software Visualization Tool to Analyze the Software Evolution of a System. CoRR abs/2108.05989 (2021) - [i3]Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner:
More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects. CoRR abs/2110.10234 (2021) - 2020
- [j2]Atish Kumar Dipongkor, Iftekhar Ahmed, Rayhanul Islam, Nadia Nahar, Abdus Satter, Md. Saeed Siddik:
ABMMRS Eradicator: Improving Accuracy in Recommending Move Methods for Web-based MVC Projects and Libraries Using Method's External Dependencies. Int. J. Softw. Eng. Knowl. Eng. 30(9): 1289-1307 (2020) - [c6]Syed Fatiul Huq, Md. Aquib Azmain, Nadia Nahar, Md. Nurul Ahad Tawhid:
On the Evolutionary Properties of Fix Inducing Changes. QuASoQ@APSEC 2020: 13-20 - [i2]Asadullah Hill Galib, Nadia Nahar, B. M. Mainul Hossain:
The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques. CoRR abs/2011.09536 (2020)
2010 – 2019
- 2017
- [j1]Nadia Nahar, Kazi Sakib:
Software semantics and syntax as a tool for automated test generation. Int. J. Crit. Comput. Based Syst. 7(4): 369-396 (2017) - [c5]Abdus Satter, Nadia Nahar, Kazi Sakib:
Automatically Identifying Dead Fields in Test Code by Resolving Method Call and Field Dependency. QuASoQ@APSEC 2017: 51-58 - [c4]Abdus Satter, M. G. Muntaqeem, Nadia Nahar, Kazi Sakib:
Retrieving Self-Executable and Functionally Correct Code to Improve Source Code Search. APSEC 2017: 749-750 - 2016
- [c3]Nadia Nahar, Kazi Sakib:
ACDPR: A Recommendation System for the Creational Design Patterns Using Anti-patterns. PPAP@SANER 2016: 4-7 - [c2]Ahmad Tahmid, Nadia Nahar, Kazi Sakib:
Understanding the Evolution of Code Smells by Observing Code Smell Clusters. PPAP@SANER 2016: 8-11 - 2015
- [c1]Nadia Nahar, Kazi Sakib:
Automatic Recommendation of Software Design Patterns Using Anti-patterns in the Design Phase: A Case Study on Abstract Factory. QuASoQ/WAWSE/CMCE@APSEC 2015: 9-16 - 2014
- [i1]Asif Imran, Nadia Nahar, Kazi Sakib:
Watchword-Oriented and Time-Stamped Algorithms for Tamper-Proof Cloud Provenance Cognition. CoRR abs/1409.5546 (2014)
Coauthor Index
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