In this paper we present data flow frameworks that are able to detect access anomalies in Ada multi-tasking programs. In particular, our approach finds all possible non-sequential accesses to shared non-protected variables. The algorithms employed are very efficient. Our approach is conservative and may find false positives. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Burgstaller, B., Blieberger, J., & Mittermayr, R. (2006). Static detection of access anomalies in Ada95. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4006 LNCS, pp. 40–55). Springer Verlag. https://doi.org/10.1007/11767077_4
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