Third International Workshop on Combinatorial Testing, Cleveland, Vereinigte Staaten

<div class="cfp" align="left"> Combinatorial Testing (CT) is a widely applicable generic method for software verification and validation&#046; In a combinatorial test plan, all interactions between parameters up to a certain level are covered&#046; Studies show that CT can significantly reduce the number of test cases while remaining very effective for fault detection&#046; This workshop aims to bring together researchers, developers, users, and practitioners to discuss and exchange ideas and experiences in the development and application of CT methods, techniques, and tools&#046;<br>We invite submissions of high&#8211;quality papers presenting original work on both theoretical and experimental aspects of combinatorial testing&#046; Submissions of full papers of up to 10 pages, as well as short papers of up to 4 pages are welcome&#046;<br>New this year: We will also have a poster session, for authors to present their work in an informal and interactive setting&#046; Posters are ideal for presenting recent results, or case studies and industry experience&#046; Posters that present work in progress and draw important conclusions from practical experience are especially welcome&#046; A one&#8211;page extended abstract of the poster should be submitted for review by the submission deadline&#046; Accepted poster abstracts will be included in the proceedings at author’s request&#046; Authors are responsible for formatting abstracts according to the IEEE publication template&#046;<br>Topics of interest for papers or posters include, but are not limited to:<br>– Combinatorial testing workflow<br>o Modeling the input space for CT<br>o Efficient algorithms to generate t&#8211;way test suites, especially involving support of constrains<br>o Determination of expected system behavior for each test case<br>o Executing CT test suites<br>o Combinatorial testing based fault localization<br>o Implementation of CT with existing testing infrastructures<br>o Handling changes in test requirements<br>– Applicability of combinatorial testing<br>o Comparison and combination of CT with other dynamic verification methods<br>o Study of failure records to determine the kind of CT which may have detected faults<br>o Empirical studies and feedback from practical applications of CT<br>o Combinatorial testing for concurrent and real&#8211;time systems<br>o Cloud computing systems testing and use of combinatorial methods in cloud architecture<br>o Application of CT in other domains, e&#046;g&#046;, gene regulation or other biotech applications<br>– Combinatorial and complementing methods<br>o Combinatorial analysis of existing test suites<br>o Test plan reduction and completeness<br>o CT and coverage metrics – combining the two, and studying the relationship between them </div> <h3> </h3>