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opencc-by-4.0May 2020View details →

Supplementary Data for Multiform: Multi-objective Evolution of Requirements Models Constrained by Formal Verification Results

This data set provides supplementary material for the article "Multiform: Multi-objective Evolution of Requirements Models Constrained by Formal Verification Results" (to appear). It contains the following files: <ul> <li>experiment-input-models.zip which contains the SML input models for the EBEAS and production cell examples that were used to conduct the experiment</li> <li>experiment-results.tar which contains the computed candidate SML models as well as H2 database files that contain measurements.</li> <li>experiment-results.pdf which summarizes the conducted controlled experiment and results.</li> </ul>   Input models (example for EBEAS) <ul> <li>ebeas.sml contains the actual SML input model to be evolved</li> <li>ebeas.ecore contains the metamodel of the EBEAS example</li> <li>ebeas.xmi contains the object system of the EBEAS example that is used for the SML realizability check</li> <li>ebeas.runconfig contains the runtime configuration for ScenarioTools that binds the SML input model with the object system</li> <li>ebeas.cspec contains the solution space model used by Multiform.</li> </ul>   Measurements are stored in an <a href="http://h2database.com/html/main.html">H2 database</a> file. To open one of the database files for the EBEAS or production cell examples extract the appropriate zip file to a local folder, navigate to the folder in a terminal, and start H2 with the appropriate database file as follows: <pre><code>java -jar h2-1.4.199.jar -url jdbc:h2:./Statistics</code></pre> A web-based SQL client will open in your browser. H2 cann be obtained free of charge from their homepage.   The database schema consists of three simple tables: SMLCANDIDATESTATISTICS contains measurements for each evolved candidate SML model and consists of the following columns: ALGORITHM - one of 'Random', 'NSGA2', 'tabu-75-intensify' SEED - seed id for which the measurement was taken ITERATION - iteration id during whch the measurement was taken CANDIDATE - unique id of the evaludated candidate SML model SYNTHESISTIME - synthesis time of the evaludated candidate SML model O1_SCENARIOS - objective value for o1 O2_FRAGMENTSRATIO - objective value for o2 O3_ENVFRAGMENTSRATIO - objective value for o3 C1_REALIZABILITY - constraint value for c1 C2_REACHABILITY - constraint value for c1 SMLITERATIONSTATISTICS contains aggregated statistical data for each iteration and consists of the following columns: ALGORITHM - one of 'Random', 'NSGA2', 'tabu-75-intensify' SEED - seed id for which the data was aggregated ITERATION - unique id of this aggregated iteration data ITERATIONSUCCESSRATE - achieved success rate in this iteration ACCUMULATEDSUCCESSRATE - achieved aggregated success reate until this iteration ACCUMULATEDHYPERVOLUMEINDICATOR - achieved hypervolume until this iteration NUMITERATIONPARETOEQUIVALENTCANDIDATES - number of pareto-equivalent candidate SML models in this iteration NUMACCUMULATEDPARETOEQUIVALENTCANDIDATES - number of pareto-equivalent candidate SML models until this iteration NUMITERATIONPARETODOMINANTCANDIDATES - number of pareto-dominant candidate SML models in this iteration NUMACCUMULATEDPARETODOMINANTCANDIDATES - number of pareto-dominant candidate SML models until this iteration ITERATIONSYNTHESISTIME - total synthesis time of this iteration ACCUMULATEDSYNTHESISTIME - accumulated total synthesis time until this iteration SMLSEEDSTATISTICS contains aggregated statistical data for each seed and consists of the following columns: ALGORITHM - one of 'Random', 'NSGA2', 'tabu-75-intensify' SEED - unique id of this aggregated seed data SUCCESSRATE- achieved success rate in this seed HYPERVOLUMEINDICATOR - achieved hypervolume in this seed NUMPARETOEQUIVALENTCANDIDATES - number of pareto-equivalent candidate SML models in this seed NUMPARETODOMINANTCANDIDATES - number of pareto-dominant candidate SML models in this seed TOTALSYNTHESISTIME - total synthesis time of this seed   Please note: the database files contain data for algorithms 'tabu-50-intensify' and 'tabu-25-intensify' representing evaluation runs with different Tabu search configurations. However, these still need to be analyzed and experiment-results.pdf refers to 'tabu-75-intensify' only.

opencc-by-4.0May 2020View details →

Experts views on information evaluation and verification: source reliability, content credibility and audiovisual material checking

Experts can be asked about nformation evaluation and verification: source reliability, content credibility and audiovisual material checking. OER available at: <a href="https://multimedia.ciberimaginario.es/genially/2020/CRESCEnt/4.2.1/">https://multimedia.ciberimaginario.es/genially/2020/CRESCEnt/4.2.1/</a>

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Data from: High-throughput microsatellite marker development in two sparid species and verification of their transferability in the family Sparidae

Recently, 454 sequencing has emerged as a popular method for isolating microsatellites owing to cost-effectiveness and time saving. In this study, repeat-enriched libraries from two southern African endemic sparids (Pachymetopon blochii and Lithognathus lithognathus) were 454 GS-FLX sequenced. From these, 7370 sequences containing repeats (SCRs) were identified. A brief survey of 23 studies showed a significant difference between the number of SCRs when enrichment was performed first before 454 sequencing. We designed primers for 302 unique fragments containing more than five repeat units and suitable flanking regions. A fraction (<11%) of these loci were characterized with 18 polymorphic microsatellite loci (nine in each of the focal species) being described. Sanger sequencing of alleles confirmed that size variation was because of differences in the number of tandem repeats. However, a case of homoplasy and sequencing errors in the 454 sequencing were identified. These newly developed and four previously isolated loci were successfully used to identify polymorphic markers in nine other economically important species, representative of sparid diversity. The combination of newly developed markers with data from previous sparid cross-species studies showed a significant negative correlation between genetic divergence to focal species and microsatellite transferability. The high level of transferability we described (48% amplification success and 32% polymorphism) suggests that the 302 microsatellite loci identified represent an excellent resource for future studies on sparids. Microsatellite marker development should commonly include tests of transferability to reduce costs and increase feasibility of population genetics studies in nonmodel organisms.

opencc-zeroDec 2011View details →

opencc-by-4.0Apr 2016View details →

How Bit-Vector Logic Can Help Improve the Verification of First-Order LTL Specifications

Experimental evaluation for the encoding presented in the paper "How Bit-Vector Logic Can Help Improve the Verification of First-Order LTL Specifications". The encoding is implemented as a zot plugin entitled ae2bvzot.

FIGURE 3 in Anopheles (Kerteszia) lepidotus (Diptera: Culicidae), not the malaria vector we thought it was: Revised male and female morphology; larva, pupa, and male genitalia characters; and molecular verification

FIGURE 3. Anopheles (Kerteszia) lepidotus Zavortink, female habitus: A, wing; B, thorax, dorsal view; C, head, lateral view; D, thorax, lateral view; E, abdomen, dorsal and ventral views; F, (left to right) foreleg, anterior view; midleg, anterior view; hindleg, anterior view; hindleg, dorsal view.

FIGURE 1. The ITS2 in Anopheles (Kerteszia) lepidotus (Diptera: Culicidae), not the malaria vector we thought it was: Revised male and female morphology; larva, pupa, and male genitalia characters; and molecular verification

FIGURE 1. The ITS2 (rDNA) sequence alignments of Anopheles (Kerteszia) pholidotus (n = 3, Venezuela) and An. lepidotus (n = 5, Ecuador), using MAFFT (Katoh et al., 2002). A total of 343 nucleotides were identical; 45 transversions, 39 transitions, and 89 gaps were observed. Underlined bases show the ITS2 primers.

FIGURE 2 in Anopheles (Kerteszia) lepidotus (Diptera: Culicidae), not the malaria vector we thought it was: Revised male and female morphology; larva, pupa, and male genitalia characters; and molecular verification

FIGURE 2. Bootstrap NJ-K2P tree of COI sequences belonging to Anopheles (Kerteszia) lepidotus and An. pholidotus from Ecuador (EC) and Venezuela (VZ). Bootstrap values below 70 % are not shown. Outgroup: An. (Ker.) homunculus Komp.

FIGURE 4 in Anopheles (Kerteszia) lepidotus (Diptera: Culicidae), not the malaria vector we thought it was: Revised male and female morphology; larva, pupa, and male genitalia characters; and molecular verification

FIGURE 4. Anopheles (Kerteszia) lepidotus. A, male genitalia (from Zavortink, 1973); B, An. lepidotus pupal trumpet, pinna (Pi) long, about 0.5 trumpet length; C, pupal paddle showing lateral margin exceptionally thick, lateral margin without long filamentous spicules and relatively straight apical margin at 1-Pa; D, seta 3-C very thick and short; E, seta 6-VI stout, long, with median length aciculae on basal 0.33 and shorter aciculae more distal, without strong basal branches.

FIGURE 7 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 7. Map showing the type locality of Dixonius minhlei sp. nov. (red star) and further localities mentioned in the text: Nha Trang, Khanh Hoa Province, Vietnam; Nui Chua, Ninh Thuan Province, Vietnam; Phu Quy, Binh Thuan Province, Vietnam; Keo Seima, Mondolkiri Province, Cambodia; Phnom Aural, Purset Province, Cambodia.

FIGURE 6 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 6. Paratypes of Dixonius minhlei sp. nov. from Vinh Cuu, Dong Nai Province, in life: ZFMK 97745 (top), and VNMN R.2016.1 (bottom). Photos: T. T. Nguyen.

FIGURE 5 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 5. Type series of Dixonius minhlei sp. nov. from Vinh Cuu, Dong Nai Province; from left to right: IEBR A.0801, IEBR A.0802 (holotype), ZFMK 97745, ZFMK 97746, VNMN R.2016.1, and VNMN R.2016.2. Photo: A. Botov.

FIGURE 4 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 4. Different head views and cloacal region of the holotype of Dixonius minhlei sp. nov. (IEBR A.0802) from Vinh Cuu, Dong Nai Province in preservative. Photos: A. Botov.

FIGURE 3 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 3. Holotype of Dixonius minhlei sp. nov. (IEBR A.0802) from Vinh Cuu, Dong Nai Province in preservative. Photo: T. Ziegler.

FIGURE 2 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 2. Maximum likelihood tree illustrating the relationship of Dixonius minhlei sp. nov., and the first verified neartopotypic samples of D. vietnamensis, to their congeners. Values at nodes indicate ML boostrap support. Phylogenetic tree also includes the recently described D. taoi (Botov et al., 2015), and three additional, currently undescribed taxa.

FIGURE 1 in First molecular verification of Dixonius vietnamensis Das, 2004 (Squamata: Gekkonidae) with the description of a new species from Vinh Cuu Nature Reserve, Dong Nai Province, Vietnam

FIGURE 1. Newly collected specimens of Dixonius vietnamensis from Nha Trang, Khanh Hoa Province, Vietnam: VNMN R.2016.4 (top), and VNMN R.2016.3 (bottom). Photos: D. T. Do.

opencc-by-4.0Feb 2017View details →

1920 simulations for method verification

The ZIP-file "1920simulations.zip" contains archive of all 1920 simulated recordings along 1920 random trajectories. It contains 1920x8 = 17280 files with the names, conaining the following information: <FM, QCF or CF bat-call-type><BaselineError-type><SimulatedRecordingNumber><Basline,Our or Real><TDOA or TRAJECTORY>.<JPG or XLS> Each name (each simulation) corresponds to 2 JPG-images and 8 comma-separated-values XLS-tables: JPGs (2 files for each simulated recording): file1. TDOA (in the form of distance difference) and file2. TRAJECTORY (in X and Y projections) XLS (7 files for each simulated recording): TDOA-files (in the form of distance difference) for file3. Baseline TDOAs file4. Our method TDOAs file5. Real TDOAs each TDOA-file contain 5 columns (one for each time-moment) and 6 lines (one for each of the following TDOAs: TDOA(mic.1,mic.2); TDOA(mic.1,mic.3); TDOA(mic.1,mic.4); TDOA(mic.2,mic.3); TDOA(mic.2,mic.4); TDOA(mic.3,mic.4)) TRAJECTORY-files file6. reconstructed from Baseline TDOAs file7. reconstructed from Our method TDOAs file8. reconstructed from Real TDOAs file9. Real trajectory each TRAJECTORY-file contain 3 columns (one for each coordinate) and 5 lines (one for each time-moment)

opencc-by-4.0Mar 2024View details →

Sound Static Data Race Verification for C: Is the Race Lost?

This artifact contains the benchmarks, tools and scripts for reproduction, along with our reference results used for the paper. <h1>Contents</h1> The reproduction package contains materials for reproducing Tables 2, 4, 5, 10, and 14 from the paper. These tables provide the data supporting research questions 2 and 3, as well as additional evaluation results. We provide two versions of the artifact: <ol> <li>The source version includes benchmarks, scripts and reference results such that they can easily be accessed and reused outside of the virtual machine.</li> <li>The virtual machine version additionally includes tools and their dependencies such that the results can be reproduced by execution.</li> </ol> The source version contains: <ul> <li><code>README.md</code>/<code>README.pdf</code> — This file.</li> <li><code>concrat-benchmarks/</code> — Concrat benchmarks (RQ 3) and execution scripts. <ul> <li><code>results-paper/</code> — Reference results used for Table 2.</li> </ul> </li> <li><code>extracted-micro-benchmarks/</code> — Extracted micro-benchmarks (with their racy variations) and execution scripts (RQ 2). <ul> <li><code>results-paper/</code> — Reference results used for Table 4 (Finding 2).</li> </ul> </li> <li><code>concrat-benchmarks-excluded/</code> — Excluded Concrat benchmarks (RQ 3).</li> <li><code>sv-benchmarks/</code> — SV-COMP 2023 NoDataRace-Main category benchmarks.</li> <li><code>joern/</code> — Joern scripts for Table 5 (RQ 3). <ul> <li><code>concrat-benchmarks-paper/</code> — Reference results for Concrat benchmarks used for Table 5 (Finding 3).</li> <li><code>concrat-benchmarks-excluded-paper/</code> — Reference results for excluded Concrat benchmarks used for Table 5 (Finding 3).</li> <li><code>sv-benchmarks-paper/</code> — Reference results for SV-COMP benchmarks used for Table 5 (Finding 3).</li> <li><code>extracted-micro-benchmarks-paper/</code> — Reference results for extracted micro-benchmarks used for Table 14.</li> </ul> </li> <li><code>sv-benchmarks.sh</code> — Script to download SV-COMP 2023 NoDataRace-Main category benchmarks.</li> <li><code>tools/download.sh</code> — Script to download SV-COMP 2023 tools from their reproduction packages.</li> <li><code>properties/no-data-race.prp</code> — Property file for executing SV-COMP tools.</li> <li><code>tsan-races/</code> — Scripts to run ThreadSanitizer on Concrat benchmarks. <ul> <li><code>logs/</code> — Reference results used for Table 2 and Table 10.</li> </ul> </li> </ul> The virtual machine version contains all of the above in <code>/home/vagrant</code>, but also: <ul> <li><code>concrat-benchmarks/</code> <ul> <li><code>results-test/</code> — Results from kick-the-tires (initially empty).</li> <li><code>results/</code> — Full evaluation results (initially empty).</li> <li><code>results-reduced/</code> — Reduced evaluation results (initially empty).</li> </ul> </li> <li><code>extracted-micro-benchmarks/</code> <ul> <li><code>results-test/</code> — Results from kick-the-tires (initially empty).</li> <li><code>results/</code> — Full evaluation results (initially empty) (Finding 2).</li> <li><code>results-reduced/</code> — Reduced evaluation results (initially empty) (Finding 2).</li> </ul> </li> <li><code>joern/</code> <ul> <li><code>concrat-benchmarks/</code> — Results for Concrat benchmarks (initially empty) (Finding 3).</li> <li><code>concrat-benchmarks-excluded/</code> — Results for excluded Concrat benchmarks (initially empty) (Finding 3).</li> <li><code>sv-benchmarks/</code> — Results for SV-COMP benchmarks (initially empty) (Finding 3).</li> </ul> </li> <li><code>tools/</code> (subdirectories) — Downloaded SV-COMP 2023 tools from their reproduction packages.</li> </ul> <h1>Hardware Dependencies</h1> The executable artifact is a <a href="https://www.virtualbox.org/">VirtualBox</a> virtual machine, because <a href="https://github.com/sosy-lab/benchexec">BenchExec</a> does not run in Docker. Full evaluation requires: <ul> <li>8 CPU cores,</li> <li>26 GB RAM,</li> <li>7 GB disk space,</li> <li>~2 days and 15 hours.</li> </ul> Considering the significant runtime, we also provide a reduced evaluation. Reduced evaluation requires: <ul> <li>8 CPU cores,</li> <li>16 GB RAM,</li> <li>7 GB disk space,</li> <li>~2 hours.</li> </ul>

opencc-by-4.0Nov 2023View details →

Towards experimental classical verification of quantum computation

Source data underlying the graphical representations used in the figures.

opencc-by-4.0Dec 2023View details →

Dataset: High-fidelity experimental model verification for flow in fractured porous media

The dataset consists of five image series of tracer experiments in fractured porous media. The images have been taken using PET imaging and are available in DICOM format. Overall, three fractured geometries have been considered, called fractip-a, fractip-b, and fractip-e. Different boundary conditions have been used, generating in total four experiments. In addition, images of simple water displacement experiments in an intact core (fractip-j) are provided, useful for extracting macroscopic hydraulic properties of the core material. All experiments are based on water displacement and use 18F-FDG tracer for PET tracking. The available DICOM images are reconstructed using 1 min x 0.4mm space-time voxels.  A related data analysis based on the Darcy Scale Image Analysis toolbox DarSIA is available at 10.5281/zenodo.10410227.