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Journal of Universal Computer Science
Article . 2025 . Peer-reviewed
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A Java Compiler Plugin for Type-Safe Inferences in Generics

Authors: Neha Kumari; Rajeev Kumar;

A Java Compiler Plugin for Type-Safe Inferences in Generics

Abstract

The two most significant yet complex elements of Java generics are wildcards and type argument inference. Both processes rely on the compiler. Even though type argument inference and wildcard execution are implicit processes, a programmer should be aware of them to make the most of the features. A compiler error message tells much about the code and the process mechanism. If the error message is unambiguous and sound, it is easy for the programmer to debug the code. However, in the context of wildcard-type argument inference, the current Javac compiler emits cryptic and imprecise error messages. A programmer may get confused about the inference outcome and failure, so it will be difficult to resolve the errors easily. In this paper, we propose a few additions to the current Wildcard-based type inference algorithm to get detailed and valuable error messages. We implement a Java compiler plugin tool based on the proposed algorithm. The plugin can be easily executed through the Java command line. It gives a comprehensive error message that aids programmers in resolving errors more effectively.

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Keywords

Type Safety, Electronic computers. Computer science, Wildcards, QA75.5-76.95, Ty, Java Generics, Type Argument Inference, Plugin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold