This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
This paper presents a new automated model-driven technique to generate test cases by using feedback from the execution of a "seed test suite" on an application under tes...
Regression test generation aims at generating a test suite that can detect behavioral differences between the original and the modified versions of a program. Regression test gen...
Kunal Taneja, Tao Xie, Nikolai Tillmann, Jonathan ...
Abstract—Test coverage such as branch coverage is commonly measured to assess the sufficiency of test inputs. To reduce tedious manual efforts in generating high-covering test i...
Nuo Li, Tao Xie, Nikolai Tillmann, Jonathan de Hal...