{"id":474408,"date":"2018-03-19T04:42:06","date_gmt":"2018-03-19T11:42:06","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=474408"},"modified":"2020-04-22T02:13:02","modified_gmt":"2020-04-22T09:13:02","slug":"build-systems-la-carte","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/build-systems-la-carte\/","title":{"rendered":"Build systems a la carte"},"content":{"rendered":"<p>Build systems are awesome, terrifying &#8212; and unloved. They are used by every developer around the world, but are rarely the object of study. In this paper we offer a systematic, and executable, framework for developing and comparing build systems, viewing them as related points in landscape rather than as isolated phenomena. By teasing apart existing build systems, we can recombine their components, allowing us to prototype new build systems with desired properties.<\/p>\n<p>All the code is available in <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/github.com\/snowleopard\/build\">this Git repository<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, and also as a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/hackage.haskell.org\/package\/build\">Hackage library<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n<p>An <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/build-systems-a-la-carte\/\">expanded journal version of this paper<\/a> is available (JFP, 2020)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Build systems are awesome, terrifying &#8212; and unloved. They are used by every developer around the world, but are rarely the object of study. In this paper we offer a systematic, and executable, framework for developing and comparing build systems, viewing them as related points in landscape rather than as isolated phenomena. By teasing apart [&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":"","msr-author-ordering":null,"msr_publishername":"ACM","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proc International Conference on Functional Programming 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