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The last few years have seen a resurgence of interest in the use of symbolic execution—a program analysis technique developed more than three decades ago to analyze program execution paths. Scaling symbolic execution to real systems remains challenging despite recent algorithmic and technological advances. An effective approach to address scalability(More)
Symbolic PathFinder (SPF) is a software analysis tool that combines symbolic execution with model checking for automated test case generation and error detection in Java bytecode programs. In SPF, programs are executed on symbolic inputs representing multiple concrete inputs and the values of program variables are represented by expressions over those(More)
Symbolic execution is a powerful static program analysis technique that has been used for the automated generation of test inputs. Directed Automated Random Testing (DART) is a dynamic variant of symbolic execution that initially uses random values to execute a program and collects symbolic path conditions during the execution. These conditions are then(More)
Software analysis tools and techniques often leverage structural code coverage information to reason about the dynamic behavior of software. Existing techniques instrument the code with the required structural obligations and then monitor the execution of the compiled code to report coverage. Instrumentation based approaches often incur considerable runtime(More)
Exhaustive search techniques such as model checking and symbolic execution are insufficient to detect errors in concurrent programs. In this work we present an abstraction-guided symbolic execution technique that quickly detects errors in concurrent programs that arise from thread schedules and input data values. An abstract system is generated that(More)
Recently there has been a proliferation of tools and languages for modeling multi-agent systems (MAS). Verification tools, correspondingly, have been developed to check properties of these systems. Most MAS verification tools, however, have their own input language and often specialize in one verification technology, or only support checking a specific type(More)
Regression verification techniques are used to prove equivalence of closely related program versions. Existing regression verification techniques leverage the similarities between program versions to help improve analysis scalability by using abstraction and decomposition techniques. These techniques are sound but not complete. In this work, we propose an(More)
Change impact analysis techniques estimate the potential effects of changes made to software. Directed Incremental Symbolic Execution (DiSE) is an intraprocedural technique for characterizing the impact of software changes on program behaviors. DiSE first estimates the impact of the changes on the source code using program slicing techniques, and then uses(More)