Talk 1 on Relevant Topic in Your Field
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news
Conference Proceeding talk 3 on Relevant Topic in Your Field
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portfolio
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publications
Mining the Use of Higher-Order Functions: An Exploratory Study on Scala Programs
Published in Empirical Software Engineering (2020), 2020
In this paper, we investigate the use of higher-order functions in Scala programs. We collected 8,285 higher-order functions from 35 Scala projects in GitHub with the most stars and conducted an exploratory study via answering five research questions of using higher-order functions, including the data scale, the definition types, the definition distribution, the factor that correlates with the function calls, and the devel- oper contribution.
Automatically Identifying Calling-Prone Higher-Order Functions of Scala Programs to Assist Testers
Published in Journal of Computer Science and Technology (2020), 2020
In this paper, we propose an automatic approach, namely Phof, which predicts whether a higher-order function of Scala programs will be called in the future, i.e., identifying calling-prone higher-order functions. Our approach can assist testers to reduce the number of higher-order functions of Scala programs under test. In Phof, we extracted 24 features from source code and logs to train a predictive model based on known higher-order function calls. We empirically evaluated our approach on 4 832 higher-order functions from 27 real-world Scala projects. Experimental results show that Phof based on the random forest algorithm and the Synthetic Minority Oversampling Technique Processing strategy (SMOTE) performs well in the prediction of calls of higher-order functions. Our work can be used to support the scheduling of limited test resources.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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