--- res: bibo_abstract: - Static program analyzers are increasingly effective in checking correctness properties of programs and reporting any errors found, often in the form of error traces. However, developers still spend a significant amount of time on debugging. This involves processing long error traces in an effort to localize a bug to a relatively small part of the program and to identify its cause. In this paper, we present a technique for automated fault localization that, given a program and an error trace, efficiently narrows down the cause of the error to a few statements. These statements are then ranked in terms of their suspiciousness. Our technique relies only on the semantics of the given program and does not require any test cases or user guidance. In experiments on a set of C benchmarks, we show that our technique is effective in quickly isolating the cause of error while out-performing other state-of-the-art fault-localization techniques.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Maria foaf_name: Christakis, Maria foaf_surname: Christakis - foaf_Person: foaf_givenName: Matthias foaf_name: Heizmann, Matthias foaf_surname: Heizmann - foaf_Person: foaf_givenName: Muhammad Numair foaf_name: Mansur, Muhammad Numair foaf_surname: Mansur - foaf_Person: foaf_givenName: Christian foaf_name: Schilling, Christian foaf_surname: Schilling foaf_workInfoHomepage: http://www.librecat.org/personId=3A2F4DCE-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0003-3658-1065 - foaf_Person: foaf_givenName: Valentin foaf_name: Wüstholz, Valentin foaf_surname: Wüstholz bibo_doi: 10.1007/978-3-030-17462-0_13 bibo_volume: 11427 dct_date: 2019^xs_gYear dct_identifier: - UT:000681166500013 dct_language: eng dct_publisher: Springer Nature@ dct_title: Semantic fault localization and suspiciousness ranking@ ...