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ORCIDMd. Rakibul Islam 0002
Person information
- affiliation: Lamar University, Beaumont, TX, USA
- affiliation (former): University of Wisconsin-Eau Claire, WI, USA
- affiliation (former): University of New Orleans, USA
Other persons with the same name
- Md. Rakibul Islam — disambiguation page
- Md. Rakibul Islam 0001 — Washington State University, Pullman, WA, USA
- Md. Rakibul Islam 0003 — University of New South Wales, Canberra, ACT, Australia
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2020 – today
- 2024
[c15]Md. Fazle Rabbi, Arifa I. Champa, Minhaz Fahim Zibran, Md. Rakibul Islam:
AI Writes, We Analyze: The ChatGPT Python Code Saga. MSR 2024: 177-181- [c14]Ertugrul Sagdic, Arda Bayram, Md. Rakibul Islam:
On the Taxonomy of Developers' Discussion Topics with ChatGPT. MSR 2024: 197-201 - [c13]Md. Rakibul Islam, Md. Fazle Rabbi, Youngeun Jo, Arifa I. Champa, Ethan Young, Camden Wilson, Gavin Scott, Minhaz Fahim Zibran:
A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering. MSR 2024: 487-491 - 2023
- [c12]Arifa I. Champa, Md. Fazle Rabbi, Minhaz F. Zibran, Md. Rakibul Islam:
Insights into Female Contributions in Open-Source Projects. MSR 2023: 357-361 - 2022
- [c11]Michelle Y. Chew, Yi J. Cheng, Oliver Mahan, Md. Rakibul Islam:
A comparative study of name entity recognition techniques in software engineering texts. SAC 2022: 1611-1614 - 2020
- [c10]Md. Rakibul Islam, Minhaz F. Zibran:
How bugs are fixed: exposing bug-fix patterns with edits and nesting levels. SAC 2020: 1523-1531
2010 – 2019
- 2019
- [c9]Md. Rakibul Islam, Md Kauser Ahmmed, Minhaz F. Zibran:
MarValous: machine learning based detection of emotions in the valence-arousal space in software engineering text. SAC 2019: 1786-1793 - [i1]Duaa Alawad, Manisha Panta, Minhaz F. Zibran, Md. Rakibul Islam:
An Empirical Study of the Relationships between Code Readability and Software Complexity. CoRR abs/1909.01760 (2019) - 2018
- [j2]Md. Rakibul Islam, Minhaz F. Zibran:
SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text. J. Syst. Softw. 145: 125-146 (2018) - [c8]Md. Rakibul Islam, Minhaz F. Zibran:
On the characteristics of buggy code clones: A code quality perspective. IWSC 2018: 23-29 - [c7]Md. Rakibul Islam, Minhaz F. Zibran:
DEVA: sensing emotions in the valence arousal space in software engineering text. SAC 2018: 1536-1543 - [c6]Md. Rakibul Islam, Minhaz F. Zibran:
A comparison of software engineering domain specific sentiment analysis tools. SANER 2018: 487-491 - 2017
- [c5]Md. Rakibul Islam, Minhaz F. Zibran, Aayush Nagpal:
Security Vulnerabilities in Categories of Clones and Non-Cloned Code: An Empirical Study. ESEM 2017: 20-29 - [c4]Md. Rakibul Islam, Minhaz F. Zibran:
A Comparison of Dictionary Building Methods for Sentiment Analysis in Software Engineering Text. ESEM 2017: 478-479 - [c3]Md. Rakibul Islam, Minhaz F. Zibran:
Leveraging automated sentiment analysis in software engineering. MSR 2017: 203-214 - [c2]Md. Rakibul Islam, Minhaz F. Zibran:
Insights into continuous integration build failures. MSR 2017: 467-470 - 2016
- [j1]Md. Rakibul Islam, Minhaz F. Zibran:
Exploration and Exploitation of Developers' Sentimental Variations in Software Engineering. Int. J. Softw. Innov. 4(4): 35-55 (2016) - [c1]Md. Rakibul Islam, Minhaz F. Zibran:
Towards understanding and exploiting developers' emotional variations in software engineering. SERA 2016: 185-192
Coauthor Index
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last updated on 2024-07-10 20:44 CEST by the dblp team
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