A type system for object initialization in the Java bytecode language
Proceedings of the 13th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Bandera: extracting finite-state models from Java source code
Proceedings of the 22nd international conference on Software engineering
Extended static checking for Java
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
The Java Programming Language
The Java Language Specification
The Java Language Specification
Eager Class Initialization for Java
FTRTFT '02 Proceedings of the 7th International Symposium on Formal Techniques in Real-Time and Fault-Tolerant Systems: Co-sponsored by IFIP WG 2.2
Set Based Analysis of ML Programs (Extended Abstract)
Set Based Analysis of ML Programs (Extended Abstract)
Java Bytecode Verification: Algorithms and Formalizations
Journal of Automated Reasoning
ACM SIGPLAN Notices
ECOOP'12 Proceedings of the 26th European conference on Object-Oriented Programming
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Correctness of Java programs is important because they are executed in distributed computing environments. The object initialization scheme in the Java programming language is complicated, and this complexity may lead to undesirable semantic bugs. Various tools have been developed for detecting program patterns that might cause errors during program execution. However, current tools cannot identify code patterns in which an uninitialized field is accessed when an object is initialized. We refer to such erroneous patterns as uninitialized field references. In this paper, we propose a static pattern detection algorithm for identifying uninitialized field references. We design a sound analysis for this problem and implement an analyzer using the Soot framework. In addition, we apply our algorithm to some real Java applications. From the experiments, we identify 12 suspicious field references in the applications, and among those we find two suspected errors by manual inspection.