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Auflistung nach Autor:in "Herzig, Kim"

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  • Konferenzbeitrag
    The impact of test ownership and team structure on the reliability, effectivenessof quality test runs
    (Software-engineering and management 2015, 2015) Herzig, Kim; Nagappan, Nachiappan
    This submission presents work submitted and accepted at the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement in 2014 [Hn2014]. Software testing is a crucial step in most software development processes. Testing software is a key component to manage and assess the risk of shipping quality products to customers. But testing is also an expensive process and changes to the system need to be tested thoroughly which may take time. Thus, the quality of a software product depends on the quality of its underlying testing process and on the effectiveness and reliability of individual test cases. In this paper, we investigate the impact of the organizational structure of test owners on the reliability and effectiveness of the corresponding test cases. Prior empirical research on organizational structure has focused only on developer activity. We expand the scope of empirical knowledge by assessing the impact of organizational structure on testing activities. We performed an empirical study on the Windows build verification test suites (BVT) and relate efficiency and reliability measures of each test run to the complexity and size of the organizational sub-structure that enclose all owners of test cases executed. Our results show, that organizational structure impacts both test efficiency and test execution reliability. We are also able to predict effectiveness and reliability with fairly high precision and recall values.
  • Konferenzbeitrag
    It's not a bug, it's a feature: how misclassification impacts bug prediction
    (Software-engineering and management 2015, 2015) Herzig, Kim; Just, Sascha; Zeller, Andreas
    This submission presents work submitted and accepted at the International onference on Software Engineering in 2013 [Hj2013]. In empirical software engineering, it has become common to mine historic data to detect where bugs have occurred in the past, or to predict where they will occur in the future. The accuracy of such models depends on the quality of the data. For example, defect prediction models rely on the accuracy of historic data, such as bug reports.