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Md. Rakibul Islam 0002

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affiliation: Lamar University, Beaumont, TX, USA
affiliation (former): University of Wisconsin-Eau Claire, WI, USA
affiliation (former): University of New Orleans, USA

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2020 – today

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2024
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Md Shafikuzzaman, Md. Rakibul Islam, Alex C. Rolli, Sharmin Akhter, Naeem Seliya:
An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering. IEEE Access 12: 109714-109734 (2024)
[c15]
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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]
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Ertugrul Sagdic, Arda Bayram, Md. Rakibul Islam:
On the Taxonomy of Developers' Discussion Topics with ChatGPT. MSR 2024: 197-201
[c13]
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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]
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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]
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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
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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

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2019
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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
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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
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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]
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Md. Rakibul Islam, Minhaz F. Zibran:
On the characteristics of buggy code clones: A code quality perspective. IWSC 2018: 23-29
[c7]
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Md. Rakibul Islam, Minhaz F. Zibran:
DEVA: sensing emotions in the valence arousal space in software engineering text. SAC 2018: 1536-1543
[c6]
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Md. Rakibul Islam, Minhaz F. Zibran:
A comparison of software engineering domain specific sentiment analysis tools. SANER 2018: 487-491
2017
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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]
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Md. Rakibul Islam, Minhaz F. Zibran:
A Comparison of Dictionary Building Methods for Sentiment Analysis in Software Engineering Text. ESEM 2017: 478-479
[c3]
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Md. Rakibul Islam, Minhaz F. Zibran:
Leveraging automated sentiment analysis in software engineering. MSR 2017: 203-214
[c2]
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Md. Rakibul Islam, Minhaz F. Zibran:
Insights into continuous integration build failures. MSR 2017: 467-470
2016
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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]
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Md. Rakibul Islam, Minhaz F. Zibran:
Towards understanding and exploiting developers' emotional variations in software engineering. SERA 2016: 185-192

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