Test case simplification based on coupling metrics in software bug location

Software test cases are one of the most critical aspects software testing in product development process. As products updated several times, same requirement may be covered by multiple cases, so this aspect is often redundant, yet approximate case set has an impact on its error detection rate. This study proposes idea using redundant location, introduces a coupling metric, analyses program slicing and establishes second coverage criterion order to balance relationship between reduced suite false rate set. The results show that size number Ruby On Rails (ROR) method used larger than those other commonly reduction algorithms. lowest loss rate, with average 17.96 % across six sets. highest capability individual was found set, mean value 90.63 also efficiency 91.05 %. Compared simplification methods, research better advantages simplification.