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Md. Nadim
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 10
Top Topics
Source Code
Clone Detection
Machine Learning Models
Linux Kernel
Top Venues
CoRR
Autom. Softw. Eng.
IWCI
J. Syst. Softw.
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Publications
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Ashis Kumar Mandal
,
Md. Nadim
,
Hasi Saha
,
Tangina Sultana
,
Md. Delowar Hossain
,
Eui-Nam Huh
Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search.
IEEE Access
12 (2024)
Md. Nadim
,
Banani Roy
Utilizing source code syntax patterns to detect bug inducing commits using machine learning models.
Softw. Qual. J.
31 (3) (2023)
Md. Nadim
,
Banani Roy
Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits using Machine Learning Models.
CoRR
(2022)
Md. Nadim
,
Debajyoti Mondal
,
Chanchal K. Roy
Leveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction.
CoRR
(2022)
Md. Nadim
,
Debajyoti Mondal
,
Chanchal K. Roy
Leveraging structural properties of source code graphs for just-in-time bug prediction.
Autom. Softw. Eng.
29 (1) (2022)
Sarder Iftekhar Ahmed
,
Muhammad Ibrahim
,
Md. Nadim
,
Md. Mizanur Rahman
,
Maria Mehjabin Shejunti
,
Taskeed Jabid
,
Md. Sawkat Ali
MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves.
CoRR
(2022)
Md. Nadim
,
Manishankar Mondal
,
Chanchal K. Roy
,
Kevin A. Schneider
Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates.
CoRR
(2022)
Md. Nadim
,
Manishankar Mondal
,
Chanchal K. Roy
,
Kevin A. Schneider
Evaluating the performance of clone detection tools in detecting cloned co-change candidates.
J. Syst. Softw.
187 (2022)
Md. Nadim
,
Manishankar Mondal
,
Chanchal K. Roy
Evaluating Performance of Clone Detection Tools in Detecting Cloned Cochange Candidates.
IWSC
(2020)
Shahnaj Parvin Shathi
,
Md. Delowar Hossain
,
Md. Nadim
,
Sayed Golam Rasul Riayadh
,
Tangina Sultana
Enhancing Performance of naïve bayes in text classification by introducing an extra weight using less number of training examples.
IWCI
(2016)