State Identification for Labeled Transition Systems with Inputs and Outputs: Software and Case Study Computation Results

DOI

The data set contains source code and an executable for computing adaptive distinguishing tests. Also, it contains dot-files representing the labeled transition systems of the used case studies, and all the intermediate computation results the software produces. The dataset is part of the research from Chapter 3 of the PhD thesis "Coverage and Games in Model-Based Testing" by Petra van den Bos. This chapter is an extenstion of the conference paper "State Identification for Labeled Transition Systems with Inputs and Outputs" by Petra van den Bos and Frits Vaandrager. The tables from the chapter can be reproduced by executing the software.

Identifier
DOI https://doi.org/10.17026/dans-zyz-9gb9
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zyz-9gb9
Provenance
Creator P. van den Bos
Publisher DANS Data Station Phys-Tech Sciences
Contributor RU Radboud University
Publication Year 2020
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact RU Radboud University
Representation
Resource Type Dataset
Format application/octet-stream; text/xml; text/plain; application/msword; application/zip; text/markdown
Size 502147; 17051497; 16833668; 1459607; 2425912; 4683520; 3513288; 68256; 157305; 4790669; 1152; 341921; 539975; 1181923; 11166; 14365; 217219; 1501484; 1121016; 621326; 1136015; 1429078; 41759; 61689; 472440; 6404; 130351; 192594; 377748; 443224; 2752652; 261506788; 7320804; 7382872; 13797160; 140644; 382400; 2483732; 24108; 996612; 1678084; 4710576; 2662; 470; 4817; 6162; 130953; 1017993; 47394; 10757607; 2776; 125795; 274312; 2482367; 65; 3873; 5289; 1329; 2487; 1141; 5900686; 132447165; 133567389; 15650476; 20504155; 35462095; 1811977; 40924753; 719727626; 32532; 9466815; 16239517; 33581868; 27211; 5734; 4112; 1528; 63045; 93937; 186162
Version 2.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences