{"id":335696,"date":"2016-12-13T09:38:25","date_gmt":"2016-12-13T17:38:25","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=335696"},"modified":"2018-10-16T20:09:09","modified_gmt":"2018-10-17T03:09:09","slug":"synthesis-examples-interaction-models-algorithms","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/synthesis-examples-interaction-models-algorithms\/","title":{"rendered":"Synthesis from Examples: Interaction Models and Algorithms"},"content":{"rendered":"

Examples are often a natural way to specify various computational artifacts such as programs, queries, and sequences. Synthesizing such artifacts from example based specifications has various applications in the domains of end-user programming and intelligent tutoring systems. Synthesis from examples involves addressing two key technical challenges: (i) design of a user interaction model to deal with the inherent ambiguity in the example based specification. (ii) design of an efficient search algorithm – these algorithms have been based on paradigms from various communities including use of SAT\/SMT solvers (formal methods community), version space algebras (machine learning community), and A*-style goal-directed heuristics (AI community).<\/p>\n

This paper describes some effective user interaction models and algorithmic methodologies for synthesis from examples while discussing synthesizers for a variety of artifacts ranging from tricky bitvector algorithms, spreadsheet macros for automating repetitive data manipulation tasks, ruler\/compass based geometry constructions, algebraic identities, and predictive intellisense for repetitive drawings and mathematical terms.<\/p>\n","protected":false},"excerpt":{"rendered":"

Examples are often a natural way to specify various computational artifacts such as programs, queries, and sequences. Synthesizing such artifacts from example based specifications has various applications in the domains of end-user programming and intelligent tutoring systems. Synthesis from examples involves addressing two key technical challenges: (i) design of a user interaction model to deal […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13561],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-335696","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-algorithms","msr-locale-en_us"],"msr_publishername":"","msr_edition":"14th International Symposium on Symbolic and Numeric Algorithms for Scientific 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