Predicting the impact of software engineering topics: An empirical study

Predicting the impact of software engineering topics: An empirical study

Predicting the future is hard, more so in active research areas. In this paper, we customize an established model for citation prediction of research papers and apply it on research topics. We argue that research topics, rather than individual publications, have wider relevance in the research ecosy...

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Bibliographic Details
Main Authors: SARKAR, Santonu, LAKDAWALA, Rumana, DATTA, Subhajit
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Citation prediction
Software engineering publication
Topic model
Numerical Analysis and Scientific Computing
Scholarly Publishing
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/5586
https://ink.library.smu.edu.sg/context/sis_research/article/6589/viewcontent/Predict_Impact_SoftwareEng_2017_pv.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5586
https://ink.library.smu.edu.sg/context/sis_research/article/6589/viewcontent/Predict_Impact_SoftwareEng_2017_pv.pdf

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