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6 results for “combinatorial testing”
Data Set Used in Combinatorial Modeling and Test Case Generation for Industrial Control Software using ACTS
<p>This document contains the data set used for the study Combinatorial Modeling and Test Case Generation for Industrial Control Software using ACTS that is currently in submission.</p>
Combinatorial Interaction Testing (CIT) Benchmarks
<p>There are five subject sets used in our experiments. The details are summarized below: [Syn-2] contains 14 pairwise (2-way) synthetic models without constraints. These are shown in the leftmost column of Table I. These models are benchmarks that have been used both to compare mathematical constructions as well as search based techniques [2], [10], [11], [18], [32]. We take these from Table 7 from the paper by Garvin et al. [2]. [Syn-3] contains 15 3-way synthetic models without constraints. These are shown in the second column of Table I. These models are benchmarks that have been used for mathematical constructions and search [10], [33], [34]. We take these from Table 7 from the paper by Garvin et al. [2]. [Syn-C2] contains 30 2-way synthetic models with constraints (see Table I, rightmost two columns). These models were designed to simulate configurations with constraints in real-world programs, generated by Cohen et al. [35] and adopted in follow-up research by Garvin et al. [2], [25]. [Real-1] contains real-world models from a recent benchmark created by Segall et al. [21], shown in Table II. There are 20 CIT problems in this subject set, generated by or for IBM customers. The 20 problems cover a wide range of applications, including telecommunications, healthcare, storage and banking systems. [Real-2] contains 6 real-world constrained subjects shown in Table II, which have been widely studied in the literature [2], [25], [30], [35], [36]. The TCAS model was first presented by Kuhn et al. [36]. TCAS is a traffic collision avoidance system from the ‘Siemens’ suite [37]. The rest of the models in this subject set were introduced by Cohen et al. [30], [35]. SPIN-S and SPIN-V are two components for model simulation and model verification. GCC is a well known compiler system from the GNU Project. Apache is a web server application and Bugzilla is a web-based bug tracking system.</p>
Results of the CT competition at the 11th International Workshop on Combinatorial Testing
<p>These are the models and raw results achieved by participating tools in the CT competition at the 11th International Workshop on Combinatorial Testing (IWCT 2022).</p> <p>The file ct-comp-models.tar.bz2 contains the input files in CTWedge and ACTS format.</p> <p>The file ct-comp-final-results.tar.bz2 contains one folder per tool. In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]<br> where "toolname" is identical to the current folder,<br> "model_filename" is the exact name of the model file (including suffix),<br> "strength" is the combinatorial strength of the resulting CA (between 2 and 5),<br> "iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),<br> "suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV).</p> <p>All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.</p>
Appendix to Combinatorial Methods for Dynamic Gray-Box SQL Injection Testing
<p>This appendix contains the detailed results of our case study performed in the context of our article "Combinatorial Methods for Dynamic Gray-Box SQL Injection Testing", published in the Journal of Software Testing, Verification and Reliability.</p> <p><br> For each web application investigated, one table exists, provided as a separate PDF file.<br> In each of these tables, the results are grouped by endpoint. For each investigated approach, we list the total number of submitted vectors, the number of injected vectors and the injection rate, the amount of executed vectors and the execution rate, and the total time required to submit the attack vectors and evaluate the responses.</p> <p>Please note that no false positive endpoints are listed for WAVSEP. Furthermore, some entries for the execution rate may be displayed as 0.00 despite some vectors having been executed; this is merely a consequence of rounding.</p>
Results of the CT competition at the 12th International Workshop on Combinatorial Testing
<p>These are the models and raw results achieved by participating tools in the CT competition at the 12th International Workshop on Combinatorial Testing (IWCT 2023).</p> <p>The file ct-comp-iwct2023-models.tar.gz contains the input files in CTWedge and ACTS format.</p> <p>The file ct-comp-iwct2023-output-and-timing.tar.gz contains one folder per tool and strength. In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]<br> where "toolname" is identical to the current folder,<br> "model_filename" is the exact name of the model file (including suffix),<br> "strength" is the combinatorial strength of the resulting CA (between 2 and 5),<br> "iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),<br> "suffix" is one of the following: "time" for the output of GNU time in verbose mode or "out" for the resulting CA (in headerless CSV form).</p> <p>The competing tools are (in alphabetical order):</p> <ul> <li>ACTS</li> <li>CAgen (in three versions; the default uses one thread less than the number of cores, _n uses exactly the number of available cores, and _np1 uses one additional thread)</li> <li>caopt</li> <li>KALI</li> <li>MEDICI</li> <li>pMEDICI</li> </ul> <p>The file validation-results.zip contains the results of the CA validation of all output files.</p> <p>All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.</p>
Combinatorial Pharmacogenomics Testing in Treatment-Naïve Major Depressive Disorder
ClinicalTrials.gov study NCT03537547. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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