{"id":155872,"date":"2004-01-01T00:00:00","date_gmt":"2004-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/optimal-strategies-for-testing-nondeterministic-systems\/"},"modified":"2018-10-16T20:09:26","modified_gmt":"2018-10-17T03:09:26","slug":"optimal-strategies-for-testing-nondeterministic-systems","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/optimal-strategies-for-testing-nondeterministic-systems\/","title":{"rendered":"Optimal Strategies for Testing Nondeterministic Systems"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper deals with testing of nondeterministic software systems. We assume that a model of the nondeterministic system is given by a directed graph with two kinds of vertices: states and choice points. Choice points represent the nondeterministic behavior of the implementation under test (IUT). Edges represent transitions. They have costs and probabilities. Test case generation in this setting amounts to generation of a game strategy. The two players are the testing tool (TT) and the IUT. The game explores the graph. The TT leads the IUT by selecting an edge at the state vertices. At the choice points the control goes to the IUT. A game strategy decides which edge should be taken by the TT in each state. This paper presents three novel algorithms 1) to determine an optimal strategy for the bounded reachability game, where optimality means maximizing the probability to reach any of the given final states from a given start state while at the same time minimizing the costs of traversal; 2) to determine a winning strategy for the bounded reachability game, which guarantees that given final vertices are reached, regardless how the IUT reacts; 3) to determine a fast converging edge covering strategy, which guarantees that the probability to cover all edges quickly converges to 1 if TT follows the strategy.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper deals with testing of nondeterministic software systems. We assume that a model of the nondeterministic system is given by a directed graph with two kinds of vertices: states and choice points. Choice points represent the nondeterministic behavior of the implementation under test (IUT). Edges represent transitions. They have costs and probabilities. Test case [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-155872","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"ISSTA 2004","msr_affiliation":"","msr_published_date":"2004-01-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"55-64","msr_chapter":"","msr_isbn":"1-58113-820-2","msr_journal":"","msr_volume":"29","msr_number":"","msr_editors":"","msr_series":"Software Engineering Notes","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"228019","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"OptimalStrategiesForTestingNondeterminsticSystems(ISSTA2004).pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2004\/01\/OptimalStrategiesForTestingNondeterminsticSystemsISSTA2004.pdf","id":228019,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":228019,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2004\/01\/OptimalStrategiesForTestingNondeterminsticSystemsISSTA2004.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"levnach","user_id":32653,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=levnach"},{"type":"user_nicename","value":"margus","user_id":32806,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=margus"},{"type":"user_nicename","value":"schulte","user_id":33552,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=schulte"},{"type":"user_nicename","value":"nikolait","user_id":33102,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=nikolait"},{"type":"text","value":"Wolfgang Grieskamp","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[170993,170116],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":170993,"post_title":"Tools for Software Engineers","post_name":"tools-for-software-engineers","post_type":"msr-project","post_date":"2012-06-29 06:20:39","post_modified":"2021-11-12 09:09:39","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/tools-for-software-engineers\/","post_excerpt":"The mission of Microsoft's One Engineering System (formerly known as Tools for Software Engineers) team is to enable the world's best product engineering teams with world-class tools and systems that help them ship products their customers love. 1ES provides tools and services to cover the full spectrum of the engineering life-cycle, from the developer desktop to product deployment. 1ES focuses on engineering solutions that mitigate the unique scale challenges that Microsoft teams face, both in&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170993"}]}},{"ID":170116,"post_title":"Model-based Testing with SpecExplorer","post_name":"model-based-testing-with-specexplorer","post_type":"msr-project","post_date":"2008-12-10 17:24:32","post_modified":"2017-05-31 15:26:57","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/model-based-testing-with-specexplorer\/","post_excerpt":"Spec Explorer is a software development tool for advanced model-based specification and conformance testing. &nbsp; New Version of Spec Explorer as an extension to Visual Studio is now available: Spec Explorer 2010 What are the core ideas behind Spec Explorer? Encode a system's intended behavior (its specification) in machine-executable form (as a \"model program\"). 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