BUBEN: Automated Library Abstractions Enabling Scalable Bug Detection for Large Programs with I/O and Complex Environment
Abstract
An important goal of software engineering research is to create methods for efficient verification and detecting bugs. In this context, we focus on two challenges: (1) scalability to large and realistic software systems and (2) tools unable to directly analyze programs that perform I/O operations and interact with their environment.
The common sources of problems with scalability include the huge number of thread interleavings and usage of large libraries. Programs written in managed languages, such as Java, cannot be directly analyzed by many verification tools due to insufficient support for native library methods.
Both issues affect especially path-sensitive verification techniques. We present the BUBEN system that automatically generates abstractions of complex software systems written in Java.
The whole process has three phases: (1) dynamic analysis that records under-approximate information about behavior of native methods and library methods that perform I/O, (2) static analysis that computes over-approximate summaries of side effects of library methods, and (3)~program code transformation that replaces calls of native methods and creates abstractions of library methods. Software systems abstracted in this way can be analyzed, e.g. for the presence of bugs, without the risk of a tool failure caused by unsupported libraries and more efficiently too.
We evaluated \textsc{Buben} on several programs from popular benchmark suites, including DaCapo.