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检索条件"主题词=Programming by example"

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JSKETCH: Sketching for Java 2015

JSKETCH: Sketching for Java

引用

10th Joint Meeting of the European Software Engineering Conference (ESEC) / ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE)

作者： Jeon, Jinseong Qiu, Xiaokang Foster, Jeffrey S. Solar-Lezama, Armando Univ Maryland College Pk MD 20742 USA MIT Cambridge MA 02139 USA

ISBN: (纸本)9781450336758

Sketch-based synthesis, epitomized by the SKETCH tool, lets developers synthesize software starting from a partial program., also called a,sketch or template. This paper presents JSKETCH, a tool that brings sketcli-based synthesis to Java. JSKETCH'S input is a partial Java program that may include holes, which are unknown constants, expression generators, which range over sets of expressions, and class generators, which are partial classes. JSKETCH then translates the synthesis problem into a SKETCH problem;this translation is complex because SKETCH is not object oriented. Finally, JSKETCH synthesizes an executable Java program by interpreting the output of SKETCH.

关键词： Program Synthesis programming by example Java SKETCH

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Spreadsheet Table Transformations from examples 11

Spreadsheet Table Transformations from Examples

引用

32nd ACM SIGPLAN Conference on programming Language Design and Implementation (PLDI 11)

作者： Harris, William R. Gulwani, Sumit Univ Wisconsin Dept Comp Sci Madison WI 53706 USA

ISBN: (纸本)9781450306638

Every day, millions of computer end-users need to perform tasks over large, tabular data, yet lack the programming knowledge to do such tasks automatically. In this work, we present an automatic technique that takes from a user an example of how the user needs to transform a table of data, and provides to the user a program that implements the transformation described by the example. In particular, we present a language of programs TableProg that can describe transformations that real users require. We then present an algorithm ProgFrornEx that takes an example input and output table, and infers a program in TableProg that implements the transformation described by the example. When the program is applied to the example input, it reproduces the example output. When the program is applied to another, potentially larger, table with a "similar" layout as the example input table, then the program produces a corresponding table with a layout that is similar to the example output table. A user can apply ProgFrornEx interactively, providing multiple small examples to obtain a program that implements the transformation that the user desires. Moreover, ProgFromEx can help identify "noisy" examples that contain errors. To evaluate the practicality of TableProg and ProgFromEx, we implemented ProgFromEx as a module for the Microsoft Excel spreadsheet program. We applied the module to automatically implement over 50 table transformations specified by end-users through examples on online Excel help forums. In seconds, ProgFromEx found programs that satisfied the examples and could be applied to larger input tables. This experience demonstrates that TableProg and ProgFromEx can significantly automate the tasks over tabular data that users need to perform.

关键词： Program Synthesis End-user programming programming by example Spreadsheet programming Table Manipulation User Intent

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TRANSIT: Specifying Protocols with Concolic Snippets

TRANSIT: Specifying Protocols with Concolic Snippets

引用

34th ACM SIGPLAN Conference on programming Language Design and Implementation (PLDI)

作者： Udupa, Abhishek Raghavan, Arun Deshmukh, Jyotirmoy V. Mador-Haim, Sela Martin, Milo M. K. Alur, Rajeev Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9781450320146

With the maturing of technology for model checking and constraint solving, there is an emerging opportunity to develop programming tools that can transform the way systems are specified. In this paper, we propose a new way to program distributed protocols using concolic snippets. Concolic snippets are sample execution fragments that contain both concrete and symbolic values. The proposed approach allows the programmer to describe the desired system partially using the traditional model of communicating extended finite-state-machines (EFSM), along with high-level invariants and concrete execution fragments. Our synthesis engine completes an EFSM skeleton by inferring guards and updates from the given fragments which is then automatically analyzed using a model checker with respect to the desired invariants. The counterexamples produced by the model checker can then be used by the programmer to add new concrete execution fragments that describe the correct behavior in the specific scenario corresponding to the counterexample. We describe TRANSIT, a language and prototype implementation of the proposed specification methodology for distributed protocols. Experimental evaluations of TRANSIT to specify cache coherence protocols show that (1) the algorithm for expression inference from concolic snippets can synthesize expressions of size 15 involving typical operators over commonly occurring types, (2) for a classical directory-based protocol, TRANSIT automatically generates, in a few seconds, a complete implementation from a specification consisting of the EFSM structure and a few concrete examples for every transition, and (3) a published partial description of the SGI Origin cache coherence protocol maps directly to symbolic examples and leads to a complete implementation in a few iterations, with the programmer correcting counterexamples resulting from underspecified transitions by adding concrete examples in each iteration.

关键词： Program Synthesis Distributed Protocol Synthesis Cache Coherence Protocols programming by example

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Repeat and predict - Two keys to efficient text editing 94

Repeat and predict - Two keys to efficient text editing

引用

CHI 94 Conference - Human Factors in Computing Systems: Celebrating Interdependence

作者： MASUI, T NAKAYAMA, K SHARP CO LTD SOFTWARE LABSTENRINARA 632JAPAN

No abstract available.

ISBN: (纸本)0201765578

No abstract available.

关键词： TEXT EDITING PREDICTIVE INTERFACE programming by example PBE programming BY DEMONSTRATION PBD KEYBOARD MACRO DYNAMIC MACRO CREATION

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VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction 2024

VRDSynth: Synthesizing Programs for Multilingual Visually Ri...

引用

33rd ACM SIGSOFT International Conference on Software Testing and Analysis (ISSTA)

作者： Thanh-Dat Nguyen Tung Do-Viet Hung Nguyen-Duy Tuan-Hai Luu Le, Hung Le, Bach Thongtanunam, Patanamon Univ Melbourne Melbourne Vic Australia Cinnamon AI Ho Chi Minh City Vietnam Deakin Univ Geelong Vic Australia

ISBN: (纸本)9798400706127

Businesses often need to query visually rich documents (VRDs), e.g., purchase receipts, medical records, and insurance forms, among many other forms from multiple vendors, to make informed decisions. As such, several techniques have been proposed to automatically extract independent entities of interest front VRDs such as extracting price tags from purchase receipts, etc. However, for extracting semantically linked entities, such as finding corresponding price tags for each item, these techniques either have limited capability in handling new layouts, e.g., template-based approaches, or require extensive amounts of pre-training data and do not perform well, e.g., deep-learning approaches. In this work, we introduce a program synthesis method, namely VRDSYNTH;to automatically generate programs to extract entity relations from multilingual VRDs. Two key novelties, which empower VRDSYNTH to tackle flexible layouts while requiring no pre-training data for extracting entity relations, include: (1) a new domain-specific language (DSL) to effectively capture the spatial and textual relations between document entities, and (2) a novel synthesis algorithm that makes use of frequent spatial relations between entities to construct initial programs, equivalent reduction to prune the search space, and a combination of positive, negative, and mutually exclusive programs to improve the coverage of programs. We experiment on two popular VRD understanding benchmarks, namely FUNSD and XFUND, on the semantic entity linking task, consisting of 1,592 forms in 8 different languages. VRDSYNTH, despite having no prior pre-training data, outperforms the s tate-of-theart pre-trained deep-learning approaches- LayoutXLM, I nfoXLMB, and XLMRobertaBase in 5, 6 and 7 out of 8 languages, respectively. Noticeably, in English. VRDSYNTH improves 42% of Fl score over LayoutXLM while being complementary to LayoutXLM in 7/8 languages. We further extend VRDSYNTH with automated table recognition, namely V

关键词： Automatic programming programming by example Program Synthesis Information Extraction Visually-Rich Document

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Multi-modal Synthesis of Regular Expressions 2020

Multi-modal Synthesis of Regular Expressions

引用

41st ACM SIGPLAN Conference on programming Language Design and Implementation (PLDI)

作者： Chen, Qiaochu Wang, Xinyu Ye, Xi Durrett, Greg Dillig, Isil Univ Texas Austin Austin TX 78712 USA Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781450376136

In this paper, we propose a multi-modal synthesis technique for automatically constructing regular expressions (regexes) from a combination of examples and natural language. Using multiple modalities is useful in this context because natural language alone is often highly ambiguous, whereas examples in isolation are often not sufficient for conveying user intent. Our proposed technique first parses the English description into a so-called hierarchical sketch that guides our programming-by-example (PBE) engine. Since the hierarchical sketch captures crucial hints, the PBE engine can leverage this information to both prioritize the search as well as make useful deductions for pruning the search space. We have implemented the proposed technique in a tool called Regel and evaluate it on over three hundred regexes. Our evaluation shows that Regel achieves 80% accuracy whereas the NLP-only and PBE-only baselines achieve 43% and 26% respectively. We also compare our proposed PBE engine against an adaptation of AlphaRegex, a state-of-the-art regex synthesis tool, and show that our proposed PBE engine is an order of magnitude faster, even if we adapt the search algorithm of AlphaRegex to leverage the sketch. Finally, we conduct a user study involving 20 participants and show that users are twice as likely to successfully come up with the desired regex using Regel compared to without it.

关键词： Program Synthesis programming by Natural Languages programming by example Regular Expression

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Unsupervised Neural Controller for Reinforcement Learning Action-Selection: Learning To Represent Knowledge 12

Unsupervised Neural Controller for Reinforcement Learning Ac...

引用

Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

作者： Gkiokas, Alexandros Cristea, Alexandra I. Univ Warwick Dept Comp Sci Coventry CV4 7AL W Midlands England

ISBN: (纸本)9781479958887

Constructing the correct Conceptual Graph representing some textual information requires a series of decisions, defined by vertex or edge creation. The process of creating Conceptual Graphs involves semiotics: the semantics, pragmatics and syntactics of the information, as well as graph structuralism and isomorphic projection, all described as decisions of a learning agent or system. The actual process taught from demonstrations of a human user, is known as Semantic Parsing, and is learnt by the agent through the novel fusion of Reinforcement Learning (RL) and Restricted Boltzmann Machines (RBM). Herein we showcase the design of such an agent in a theoretical manner, in order to define the background mechanisms which will learn how to parse information and correctly project it onto Conceptual Graphs.

关键词： Complex systems conceptual graphs deep learning programming by example reinforcement learning restricted Boltzmann machines

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Synthesis From examples: Interaction Models and Algorithms (Invited Talk Paper)

Synthesis From Examples: Interaction Models and Algorithms (...

引用

14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Gulwani, Sumit Microsoft Res Redmond WA 98052 USA

ISBN: (纸本)9780769549347;9781467350266

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 enduser 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). 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.

关键词： Program Synthesis Inductive Synthesis End User programming Intelligent Tutoring Systems Domain Specific Languages programming by example

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RoboART: Artistic Robot programming in Mixed Reality

RoboART: Artistic Robot Programming in Mixed Reality

引用

IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

作者： Fronchetti, Felipe Popiela, Miles Spinola, Rodrigo Brixey, Shawn Virginia Commonwealth Univ Sch Arts Richmond VA 23284 USA Virginia Commonwealth Univ Coll Engn Richmond VA 23284 USA

ISBN: (纸本)9798350374490;9798350374506

Articulated robots are attracting the attention of artists worldwide. Due to their precise, tireless, and efficient nature, robots are now being deployed in different forms of creative expression, such as sculpting, choreography, immersive environments, and cinematography. While there is a growing interest among artists in robotics, programming such machines is a challenge for most professionals in the field, as robots require extensive coding experience and are primarily designed for industrial applications and environments. To enable artists to incorporate robots in their projects, we propose an end-user-friendly robot programming solution using an intuitive spatial computing environment designed for Microsoft Hololens 2. In our application, the robot movements are synchronized with a hologram via network communication. Using natural hand gestures, users can manipulate, animate, and record the hologram similar to 3D animation software, including the advantages of mixed reality interaction. Our solution not only gives artists the ability to translate their creative ideas and movements to an industrial machine but also makes human-robot interaction safer, as robots can now be accurately and effectively operated from a distance. We consider this an important step in a more human-driven robotics community, allowing creators without robot programming experience to easily script and perform complex sequences of robotic movement in service of new arts applications. Making robots more collaborative and safer for humans to interact with dramatically increases their utility, exposure, and potential for social interaction, opens new markets, expands creative industries, and directly locates them in highly visible public spaces.

关键词： Software and its engineering Software notations and tools Context specific languages programming by example Applied computing Arts and humanities Performing arts

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Synthesizing Transformations on Hierarchically Structured Data 16

Synthesizing Transformations on Hierarchically Structured Da...

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37th ACM SIGPLAN Conference on programming Language Design and Implementation

作者： Yaghmazadeh, Navid Klinger, Christian Dillig, Isil Chaudhuri, Swarat Univ Texas Austin Austin TX 78712 USA Univ Freiburg Freiburg Germany Rice Univ Houston TX 77251 USA

ISBN: (纸本)9781450342612

This paper presents a new approach for synthesizing transformations on tree-structured data, such as Unix directories and XML documents. We consider a general abstraction for such data, called hierarchical data trees (HDTs) and present a novel example-driven synthesis algorithm for HDT transformations. Our central insight is to reduce the problem of synthesizing tree transformers to the synthesis of list transformations that are applied to the paths of the tree. The synthesis problem over lists is solved using a new algorithm that combines SMT solving and decision tree learning. We have implemented our technique in a system called HADES and show that HADES can automatically synthesize a variety of interesting transformations collected from online forums.

关键词： Languages Program synthesis programming by example data transformations

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