Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
Concurrent programming in ERLANG (2nd ed.)
Concurrent programming in ERLANG (2nd ed.)
Symbolic execution and program testing
Communications of the ACM
A System to Generate Test Data and Symbolically Execute Programs
IEEE Transactions on Software Engineering
Symbolic Testing and the DISSECT Symbolic Evaluation System
IEEE Transactions on Software Engineering
Scala Actors: Unifying thread-based and event-based programming
Theoretical Computer Science
PET: a partial evaluation-based test case generation tool for Java bytecode
Proceedings of the 2010 ACM SIGPLAN workshop on Partial evaluation and program manipulation
Pex: white box test generation for .NET
TAP'08 Proceedings of the 2nd international conference on Tests and proofs
Delta-oriented programming of software product lines
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Symbolic execution for software testing in practice: preliminary assessment
Proceedings of the 33rd International Conference on Software Engineering
Symbolic execution of concurrent objects in CLP
PADL'12 Proceedings of the 14th international conference on Practical Aspects of Declarative Languages
ABS: a core language for abstract behavioral specification
FMCO'10 Proceedings of the 9th international conference on Formal Methods for Components and Objects
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We present the concepts, usage and prototypical implementation of aPET, a test case generation tool for a distributed asynchronous language based on concurrent objects. The system receives as input a program, a selection of methods to be tested, and a set of parameters that include a selection of a coverage criterion. It yields as output a set of test cases which guarantee that the selected coverage criterion is achieved. aPET is completely integrated within the language's IDE via Eclipse. The generated test cases can be displayed in textual mode and, besides, it is possible to generate ABSUnit code (i.e., code runnable in a simple framework similar to JUnit to write repeatable tests). The information yield by aPET can be relevant to spot bugs during program development and also to perform regression testing.