scholarly journals Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

2021 ◽  
pp. 401-422
Author(s):  
Dirk Beyer
Keyword(s):  
Comparative Evaluation ◽  
Software Verification ◽  
Verification Task ◽  
C Programs ◽  
Current State ◽  
Strong Focus ◽  
Java Programs ◽  
Automatic Software ◽  
Fully Automatic ◽  
Verification Systems

AbstractSV-COMP 2021 is the 10th edition of the Competition on Software Verification (SV-COMP), which is an annual comparative evaluation of fully automatic software verifiers for C and Java programs. The competition provides a snapshot of the current state of the art in the area, and has a strong focus on reproducibility of its results. The competition was based on 15 201 verification tasks for C programs and 473 verification tasks for Java programs. Each verification task consisted of a program and a property (reachability, memory safety, overflows, termination). SV-COMP 2021 had 30 participating verification systems from 27 teams from 11 countries.

scholarly journals Advances in Automatic Software Verification: SV-COMP 2020

2020 ◽  
pp. 347-367 ◽  
Author(s):  
Dirk Beyer
Keyword(s):  
Software Verification ◽  
State Of The Art ◽  
Verification Task ◽  
C Programs ◽  
Current State ◽  
Strong Focus ◽  
Java Programs ◽  
Automatic Software ◽  
Fully Automatic ◽  
Verification Systems

Abstract This report describes the 2020 Competition on Software Verification (SV-COMP), the 9$$^{\text {th}}$$ edition of a series of comparative evaluations of fully automatic software verifiers for C and Java programs. The competition provides a snapshot of the current state of the art in the area, and has a strong focus on replicability of its results. The competition was based on 11 052 verification tasks for C programs and 416 verification tasks for Java programs. Each verification task consisted of a program and a property (reachability, memory safety, overflows, termination). SV-COMP 2020 had 28 participating verification systems from 11 countries.

scholarly journals Status Report on Software Testing: Test-Comp 2021

2021 ◽  
pp. 341-357 ◽  
Author(s):  
Dirk Beyer
Keyword(s):  
Software Testing ◽  
Test Generation ◽  
Software Test ◽  
Status Report ◽  
Generation Task ◽  
C Programs ◽  
Branch Coverage ◽  
Current State ◽  
Strong Focus ◽  
Automatic Software

AbstractThis report describes Test-Comp 2021, the 3rd edition of the Competition on Software Testing. The competition is a series of annual comparative evaluations of fully automatic software test generators for C programs. The competition has a strong focus on reproducibility of its results and its main goal is to provide an overview of the current state of the art in the area of automatic test-generation. The competition was based on 3 173 test-generation tasks for C programs. Each test-generation task consisted of a program and a test specification (error coverage, branch coverage). Test-Comp 2021 had 11 participating test generators from 6 countries.

scholarly journals Speaker verification system based on articulatory information from ultrasound recordings

DYNA ◽  
2020 ◽  
Vol 87 (213) ◽  
pp. 9-16
Author(s):  
Franklin Alexander Sepulveda Sepulveda ◽  
Dagoberto Porras-Plata ◽  
Milton Sarria-Paja
Keyword(s):  
State Of The Art ◽  
Speaker Verification ◽  
Environmental Noise ◽  
Speech Signals ◽  
Acoustic Information ◽  
Current State ◽  
Verification System ◽  
Vocal Effort ◽  
Ultrasound System ◽  
Verification Systems

Current state-of-the-art speaker verification (SV) systems are known to be strongly affected by unexpected variability presented during testing, such as environmental noise or changes in vocal effort. In this work, we analyze and evaluate articulatory information of the tongue's movement as a means to improve the performance of speaker verification systems. We use a Spanish database, where besides the speech signals, we also include articulatory information that was acquired with an ultrasound system. Two groups of features are proposed to represent the articulatory information, and the obtained performance is compared to an SV system trained only with acoustic information. Our results show that the proposed features contain highly discriminative information, and they are related to speaker identity; furthermore, these features can be used to complement and improve existing systems by combining such information with cepstral coefficients at the feature level.

Automatic software verification for robotics

2008 ◽  
Vol 21 (4) ◽  
pp. 263-264 ◽  
Author(s):  
Jacopo Mantovani
Keyword(s):  
Software Verification ◽  
Automatic Software

Automatic Software Verification

2012 ◽  
pp. 17-30 ◽  
Author(s):  
Ernesto Sanchez ◽  
Giovanni Squillero ◽  
Alberto Tonda
Keyword(s):  
Software Verification ◽  
Automatic Software

scholarly journals αCheck: A mechanized metatheory model checker

2017 ◽  
Vol 17 (3) ◽  
pp. 311-352 ◽  
Author(s):  
JAMES CHENEY ◽  
ALBERTO MOMIGLIANO
Keyword(s):  
Programming Language ◽  
Dual Problem ◽  
State Of The Art ◽  
Operational Semantics ◽  
Type Systems ◽  
Model Checker ◽  
Formal Systems ◽  
Current State ◽  
Fully Automatic ◽  
Nominal Logic

AbstractThe problem of mechanically formalizing and proving metatheoretic properties of programming language calculi, type systems, operational semantics, and related formal systems has received considerable attention recently. However, the dual problem of searching for errors in such formalizations has attracted comparatively little attention. In this article, we present αCheck, a bounded model checker for metatheoretic properties of formal systems specified using nominal logic. In contrast to the current state of the art for metatheory verification, our approach is fully automatic, does not require expertise in theorem proving on the part of the user, and produces counterexamples in the case that a flaw is detected. We present two implementations of this technique, one based onnegation-as-failureand one based onnegation elimination, along with experimental results showing that these techniques are fast enough to be used interactively to debug systems as they are developed.

Fully Automatic Segmentations of Liver and Hepatic Tumors From 3-D Computed Tomography Abdominal Images: Comparative Evaluation of Two Automatic Methods

2012 ◽  
Vol 12 (3) ◽  
pp. 464-473 ◽  
Author(s):  
Sergio Casciaro ◽  
Roberto Franchini ◽  
Laurent Massoptier ◽  
Ernesto Casciaro ◽  
Francesco Conversano ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Comparative Evaluation ◽  
Hepatic Tumors ◽  
Automatic Methods ◽  
Fully Automatic

On ab initio indexing of Laue diffraction patterns

2021 ◽  
Vol 54 (1) ◽  
pp. 333-337
Author(s):  
Adam Morawiec
Keyword(s):  
Data Processing ◽  
Ab Initio ◽  
Reciprocal Lattice ◽  
Structural Studies ◽  
Laue Diffraction ◽  
Automatic Software ◽  
Fully Automatic ◽  
Diffraction Patterns ◽  
The Impact ◽  
Laue Method

The Laue method allows for fast pattern acquisition, but its use in structural studies is limited by the complexity of data processing. In particular, automatic ab initio indexing of Laue patterns is not trivial. This paper describes measures improving the effectiveness of indexing software. The first such measure is to adjust the positions of Laue spots on the basis of a mesh of lines fitted in a consistent way. Two other modifications enlarge the set of cells tested as potential primitive lattice cells. The last modification concerns eliminating solutions representing superlattices of the true reciprocal lattice. The impact of using these schemes on the chances of obtaining correct indexing solutions is illustrated. The described procedures can be implemented to create fully automatic software for ab initio indexing of Laue patterns.

scholarly journals Fully Automatic Software for Retinal Thickness in Eyes With Diabetic Macular Edema From Images Acquired by Cirrus and Spectralis Systems

2013 ◽  
Vol 54 (12) ◽  
pp. 7595 ◽  
Author(s):  
Joo Yong Lee ◽  
Stephanie J. Chiu ◽  
Pratul P. Srinivasan ◽  
Joseph A. Izatt ◽  
Cynthia A. Toth ◽  
...  
Keyword(s):  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Retinal Thickness ◽  
Automatic Software ◽  
Fully Automatic
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