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The vulnerable in the open network environment software, lead to software failure, the need for safety testing, the testing method of overhead non supervisory large and complex problems, put forward a kind of software security testing methods based on semi supervised adaptive learning algorithm. First, a semi supervised learning model of fuzzy measure principle construction of software security testing, security feature array fault analysis software, then the software reliability measurement by the method of entropy feature of software fault distribution, the establishment of software reliability of cloud decision model in open network environment, security test and fault location. Finally, through simulation experiments verify the performance, results show that using the method of software security testing of software fault location accuracy, real-time test well, guarantee the safe and reliable operation of the software.