To study HPV prevalence and HPV types 6, 11, 16, 18, 31, and 33 distribution in cervical smears in a cohort of Greek women. One thousand six hundred thirty-six samples were cytologically evaluated and molecularly analyzed, by PCR based assay. Abnormal cytology was identified in 997 women and 75.4% of them were HPV DNA positive, while 639 had normal cytology and 24.6% were HPV DNA positive. HPV was detected in 62.9% of 256 ASCUS smears, 89.3% of 516 LSIL, 86.7% of 60 HSIL and 47.3% of 165 with cervical carcinoma. Overall, HPV 11 was the most common type (13.4%), followed by 18 (10.3%), 6 (7.2%), 16 (6.4%), 31 (3.4%) and 33 (3.4%). Multiple infections with two (11.3%) or more types, primarily 11 and 18 (4.8%), were also identified. Low-risk types 11 and 6 were common in ASCUS (36.6% and 26.4%, respectively), and high-risk types 16 and 18 in HSIL (42.3% and 30.8%, respectively) and in cancer (51.3% and 41%, respectively). Multiple infections were detected in 2.2% of normal and 31.7% of HSIL. HPV prevalence was 75.4% in abnormal and 24.6% in normal cervical smears. HPV 16 and 18 were the most common types in cancer. Single infection with type 11 and multiple infections with 11 and 18 were more frequent.

Abstract. Given a Kripke structure M and CTL formula φ, where M does not satisfy φ, the problem of Model Repair is to obtain a new model M such that M satisfies φ. Moreover, the changes made to M to derive M should be minimum with respect to all such M . As in model checking, state explosion can make it virtually impossible to carry out model repair on models with infinite or even large state spaces. In this paper, we present a framework for model repair that uses abstraction refinement to tackle state explosion. Our framework aims to repair Kripke Structure models based on a Kripke Modal Transition System abstraction and a 3-valued semantics for CTL. We introduce an abstract-model-repair algorithm for which we prove soundness and semi-completeness, and we study its complexity class. Moreover, a prototype implementation is presented to illustrate the practical utility of abstract-model-repair on an Automatic Door Opener system model and a model of the Andrew File System 1 protocol.

Abstract-Recently, a number of tools for automated code scanning came in the limelight. Due to the significant costs associated with incorporating such a tool in the software lifecycle, it is important to know what defects are detected and how accurate and efficient the analysis is. We focus specifically on popular static analysis tools for C code defects. Existing benchmarks include the actual defects in open source programs, but they lack systematic coverage of possible code defects and the coding complexities in which they arise. We introduce a test suite implementing the discussed requirements for frequent defects selected from public catalogues. Four open source and two commercial tools are compared in terms of their effectiveness and efficiency of their detection capability. A wide range of C constructs is taken into account and appropriate metrics are computed, which show how the tools balance inherent analysis tradeoffs and efficiency. The results are useful for identifying the appropriate tool, in terms of costeffectiveness, while the proposed methodology and test suite may be reused.

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