Linear Temporal Logic (LTL) is widely used nowadays in verification and AI. Checking satisfiability of LTL formulas is a fundamental step in removing possible errors in LTL assertions. We present in this paper Aalta, a new LTL satisfiability checker, which supports satisfiability checking for LTL over both infinite and finite traces. Aalta leverages the power of modern SAT solvers. We have conducted a comprehensive comparison between Aalta and other LTL satisfiability checkers, and the experimental results show that Aalta is very competitive. The tool is available at www.lab205.org/aalta.
In this paper, we aim at the automated unit coverage-based testing for embedded software. To achieve the goal, by analyzing the industrial requirements and our previous work on automated unit testing tool CAUT, we rebuild a new tool, SmartUnit, to solve the engineering requirements that take place in our partner companies. SmartUnit is a dynamic symbolic execution implementation, which supports statement, branch, boundary value and MC/DC coverage.SmartUnit has been used to test more than one million lines of code in real projects. For confidentiality motives, we select three in-house real projects for the empirical evaluations. We also carry out our evaluations on two open source database projects, SQLite and PostgreSQL, to test the scalability of our tool since the scale of the embedded software project is mostly not large, 5K-50K lines of code on average. From our experimental results, in general, more than 90% of functions in commercial embedded software achieve 100% statement, branch and MC/DC coverage, more than 80% of functions in SQLite and more than 60% of functions in PostgreSQL achieve 100% statement and branch coverage. Moreover, SmartUnit is able to find the runtime exceptions at the unit testing level. We also have reported exceptions like array index out of bounds and divided-by-zero in SQLite. Furthermore, we analyze the reasons of low coverage in automated unit testing in our setting and give a survey on the situation of manual unit testing with respect to automated unit testing in industry.
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