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What Refac; ring Topics Do Developers Discuss? A Large Scale Empirical Study Using Stack Overflow
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DOI：10.1109/ACCESS.2021.3140036.png)
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Abstract
En 中文
Due;
the growing complexity of software systems, there has been a dramatic increase in research and industry demand on refac;
ring. Refac;
ring research nowadays addresses challenges beyond code transformation;
include, but not limited;
, scheduling the opportune time;
carry refac;
ring, recommending specific refac;
ring activities, detecting refac;
ring opportunities and testing the correctness of applied refac;
rings. Very few studies focused on the challenges that practitioners face when refac;
ring software systems and what should be the current refac;
ring research focus from the developers' perspective. Without such knowledge, tool builders invest in the wrong direction, and researchers miss many opportunities for improving the practice of refactoring. In this paper, we collected data from the popular online Q&A site, Stack Overflow, and analyzed posts to identify what do developers ask about refactoring. We clustered these questions to find the different refactoring related topics using one of the most popular topic modeling algorithms, Latent Dirichlet Allocation (LDA). We found that developers are asking about design patterns, design and user interface refactoring, web services, parallel programming, and mobile apps. We also identified what popular refactoring challenges are the most difficult and the current important topics and questions related to refactoring. Moreover, we discovered gaps between existing research on refactoring and the challenges developers face. To the best of our knowledge, this paper represents the first Stack Overflow study to identify the refactoring topics discussed by developers. Our study can help researchers to focus on practical refactoring problems, practitioners know more about current challenges and build better refactoring tools, and educators revise curriculum to target current needs on refactoring.
Keywords:
Faces
Software systems
Resource management
Parallel programming
Mobile applications
Market research
Information services
Empirical study
stack overflow
refac
ring
Journal
IF:
3.6
Papers:
9.7W
Citations:
29.4W
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