Fatemeh H. Fard - researchr alias

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Viewing Publication 1 - 17 from 17

2023

Evaluating pre-trained models for user feedback analysis in software engineering: a study on classification of app-reviewsMohammad Abdul Hadi, Fatemeh H. Fard. ese, 28(4):88, 2023. [doi]

Model-Agnostic Syntactical Information for Pre-Trained Programming Language ModelsIman Saberi, Fatemeh H. Fard. msr 2023: 183-193 [doi]

Algorithm Debt: Challenges and Future PathsEmmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard. cain 2023: 90-91 [doi]

2022

On the transferability of pre-trained language models for low-resource programming languagesFuxiang Chen, Fatemeh H. Fard, David Lo 0001, Timofey Bryksin. IWPC 2022: 401-412 [doi]

On the cross-modal transfer from natural language to code through adapter modulesDivyam Goel, Ramansh Grover, Fatemeh H. Fard. IWPC 2022: 71-81 [doi]

On the effectiveness of pretrained models for API learningMohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo 0001. IWPC 2022: 309-320 [doi]

A fine-grained data set and analysis of tangling in bug fixing commitsSteffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber 0001, Johannes Erbel. ese, 27(6):125, 2022. [doi]

ARSeek: identifying API resource using code and discussion on stack overflowKien Luong, Mohammad Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo 0001. IWPC 2022: 331-342 [doi]

LAMNER: code comment generation using character language model and named entity recognitionRishab Sharma, Fuxiang Chen, Fatemeh H. Fard. IWPC 2022: 48-59 [doi]

Self-admitted technical debt in R: detection and causesRishab Sharma, Ramin Shahbazi, Fatemeh H. Fard, Zadia Codabux, Melina C. Vidoni. ASE, 29(2):53, 2022. [doi]

An exploratory study on code attention in BERTRishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo 0001. IWPC 2022: 437-448 [doi]

Infinite technical debtMelina C. Vidoni, Zadia Codabux, Fatemeh H. Fard. jss, 190:111336, 2022. [doi]

2021

2020

AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts AnalysisMohammad Abdul Hadi, Fatemeh H. Fard. ICSM 2020: 593-604 [doi]

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