creators_name: Dinca, Ionut creators_id: ionut.dinca@upit.ro type: conference_item datestamp: 2011-10-14 10:52:01 lastmod: 2012-03-15 12:37:06 metadata_visibility: show title: Multi-Objective Test Suite Optimization for Event-B Models ispublished: pub subjects: deploy_tooldev_other full_text_status: public pres_type: paper keywords: testing, test suite optimisation, multi-objective optimisation note: Springer abstract: Event-B is a formalism that is used in modeling and proving the consistency of complex systems. The method has been successfully used in the development of several complex real-life applications. For complementing the theorem-proving and model-checking tools developed for Event-B models, test suite generation methods have been recently introduced as research theme. In order to optimize the large test suites produced by the existing approaches, in this paper the test suite optimization problem is introduced for Event-B models. However, there exist many optimization criteria in real-life testing problems. Given that, six specifically multi-objective test suite optimization problems are defined. Two modern Multi-Objective Evolutionary Algorithms are used for solving them: NSGA-II and SPEA-2. The experiments have been conducted using five test suites generated from two industrial inspired Event-B models (five different machines). date: 2011-11 date_type: published pagerange: 551-565 event_title: ICIEIS'11, Springer CCIS Series vol. 251 event_location: Malaysia event_dates: 11-14 November 2011 event_type: conference refereed: TRUE official_url: http://dx.doi.org/10.1007/978-3-642-25327-0_47 citation: Dinca, Ionut (2011) Multi-Objective Test Suite Optimization for Event-B Models. In: ICIEIS'11, Springer CCIS Series vol. 251 , 11-14 November 2011, Malaysia. document_url: http://deploy-eprints.ecs.soton.ac.uk/349/13/multiobj_testop.pdf