会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • COMPUTER-IMPLEMENTED METHOD OF PREDICTING TESTCASE STATUS
    • WO2021121676A1
    • 2021-06-24
    • PCT/EP2020/068283
    • 2020-06-29
    • CODEMANUFAKTUR GMBH
    • MATOUSEK, VitENDLER, Gregor BertholdGEYER, Klaus
    • G06F11/36G06F11/368G06F11/3684G06F11/3692
    • Problem Software testing is an important yet costly part of state-of-the-art software projects. Prior-art statistical or machine learning (ML) approaches allow for some reduction in test effort by indicating - before their execution - those test cases in a test suite which are likely to fail. Still, test execution ties up a significant part of development resources. The invention aims to free or optimize use of these resources. Solution Computer-implemented method of predicting status of a testcase of a software maintained by means of a code repository, characterized in, for each execution of the testcase, logging the status as a multi-valued attribute such as "pass" or "fail", for each two chronologically adjacent executions, retrieving from the repository any changeset committed interjacently and observing correlation between the changeset and transition in status between the two executions, such as from "pass" to "fail", "fail" to "pass", "fail" to "fail", or "pass" to "pass", based on the observed correlations, building a training dataset from input vectors representing the changesets, each input vector being labelled with the correlating transition, fitting a statistical classification model on the training dataset, and, by means of the model, predicting the transition resulting from committing a given further changeset to the repository.