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Game Engine Wizardry for programming Mischief 2

Game Engine Wizardry for Programming Mischief

2nd ACM SIGPLAN International Workshop on programming Abstractions and Interactive Notations, Tools, and Environments (PAINT)

作者： van Rozen, Riemer Ctr Wiskunde & Informat Amsterdam Netherlands

ISBN: (纸本)9798400703997

programming grants individuals the capability to design, create, and bring ideas to life. To improve their skills, programmers require powerful languages and programming environments for understanding the impact of gradual code changes. We investigate how modern game engine technology can be leveraged for creating visual input and feedback mechanisms that drive exploratory and live programming. In this paper, we report experiences on creating a visual programming environment for Machinations, a domain-specific language for game design. We share initial findings on how to automate the development of graph- and tree-based editors in Godot, an open source game engine. Our results show that today's game engine technology provides a solid foundation for future programming language research.

关键词： programming environments game engines language workbenches live programming

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Probe Log: Visualizing the Control Flow of Babylonian programming 23

Probe Log: Visualizing the Control Flow of Babylonian Progra...

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7th International Conference on the Art, Science, and Engineering of programming (programming)

作者： Krebs, Eva Rein, Patrick Bergsiek, Joana Urban, Lina Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9798400707551

Code itself is abstract, which makes it often difficult to understand - sometimes even by the programmers that wrote it. When working with or thinking about code, programmers thus often resort to concrete values and execution traces to make the abstract more tangible. Such approaches like exploration scripts in a workspace or unit tests of a test suite are already very helpful, but still lack a convenient conceptual and technical integration into core development tools, leaving such examples and the code they refer to too far apart. Example-based programming like Babylonian programming aims at offering the benefits of concrete, live examples directly in program editors, interleaved with the code it supports, to shorten feedback loops and reduce the need for context switches coming with changing tools. However, Babylonian programming and its tools currently focus on a local perspective on code exploration, but do not yet extend to messages sent outside a particular unit of code and with that do not yet directly support feedback on more dynamic properties of a running program / system. We developed Probe Log, a Babylonian programming tool that extends the benefits of example-based programming to scenarios that span across multiple procedures. It provides a linear view on the dynamics of evolving examples beyond a local perspective.

关键词： live programming exploratory programming example-based programming babylonian programming examples squeak smalltalk

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Example Mining Assisting Example Creation to Enhance Code Comprehension 22

Example Mining Assisting Example Creation to Enhance Code Co...

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6th International Conference on the Art, Science, and Engineering of programming (programming)

作者： Krebs, Eva Rein, Patrick Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781450396561

Programmers often use examples with concrete values to better understand code. Code by itself is abstract, which empowers it to be used for a variety of uses, but can be difficult to grasp by developers. Babylonian programming addresses this by allowing programmers to concretize their code by defining and visualizing examples directly in the code itself while editing. Currently, Babylonian programming implementations such as Babylonian/S require programmers to define examples manually. For examples containing small objects this is straightforward, however when creating large or complex objects it is not. Sometimes, workarounds such as copying existing code pieces or trying to recreate existing objects are used to reuse information already present in the system, but these workarounds can be error-prone and also time-consuming. In this paper, we propose Example Mining to address this issue by providing techniques and integrated tools to mine examples from existing sources similar to concepts from run-time tracing and test case extraction. Example mining introduces concepts to mine examples from tests, debugging sessions, and traces of actual usage of the system under development. All tools were implemented for Babylonian/S in Squeak/Smalltalk. We demonstrate the usefulness of the tools through walkthroughs. Our tools provide examples for many methods immediately and automatically. As a consequence, programmers have more immediate access to dynamic feedback on their abstract code, making code comprehension and debugging more effective.

关键词： live programming exploratory programming example-based programming babylonian programming examples squeak smalltalk

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Dockerlive A live development environment for Dockerfiles

Dockerlive A live development environment for Dockerfiles

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2022 IEEE Symposium on Visual Languages and Human-Centric Computing

作者： Reis, David Correia, Filipe F. Univ Porto Fac Engn Porto Portugal Univ Porto Fac Engn INESC TEC Porto Portugal

ISBN: (数字)9781665442145

ISBN: (纸本)9781665442152;9781665442145

The process of developing Dockerfiles is perceived by many developers as slow and based on trial-and-error, and it is hardly immediate to see the result of a change introduced into a Dockerfile. In this work we propose a plugin for Visual Studio Code, which we name Dockerlive, and that has the purpose of shortening the length of feedback loops. Namely, the plugin is capable of providing information to developers on a number of Dockerfile elements, as the developer is writing the Dockerfile. We achieve this through dynamic analysis of the resulting container, which the plugin builds and runs in the background.

关键词： Cloud Dockerfile live programming IDE

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LooPy: Interactive Program Synthesis with Control Structures

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PROCEEDINGS OF THE ACM ON programming LANGUAGES-PACMPL 2021年第OOPSLA期5卷 1–29页

作者： Ferdowsifard, Kasra Barke, Shraddha Peleg, Hila Lerner, Sorin Polikarpova, Nadia Univ Calif San Diego San Diego CA 92093 USA Technion Haifa Israel

One vision for program synthesis, and specifically for programming by example (PBE), is an interactive programmer's assistant, integrated into the development environment. To make program synthesis practical for interactive use, prior work on Small-Step live PBE has proposed to limit the scope of synthesis to small code snippets, and enable the users to provide local specifications for those snippets. This paradigm, however, does not work well in the presence of loops. We present LOOPY, a synthesizer integrated into a live programming environment, which extends Small-Step live PBE to work inside loops and scales it up to synthesize larger code snippets, while remaining fast enough for interactive use. To allow users to effectively provide examples at various loop iterations, even when the loop body is incomplete, LOOPY makes use of live execution, a technique that leverages the programmer as an oracle to step over incomplete parts of the loop. To enable synthesis of loop bodies at interactive speeds, LOOPY introduces Intermediate State Graph, a new data structure, which compactly represents a large space of code snippets composed of multiple assignment statements and conditionals. We evaluate LOOPY empirically using benchmarks from competitive programming and previous synthesizers, and show that it can solve a wide variety of synthesis tasks at interactive speeds. We also perform a small qualitative user study which shows that LOOPY's block-level specifications are easy for programmers to provide.

关键词： Program synthesis live programming

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Edit-Run Behavior in programming and Debugging

Edit-Run Behavior in Programming and Debugging

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IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

作者： Alaboudi, Abdulaziz LaToza, Thomas D. George Mason Univ Fairfax VA 22030 USA

ISBN: (纸本)9781665445924

As developers program and debug, they continuously edit and run their code, a behavior known as edit-run cycles. While techniques such as live programming are intended to support this behavior, little is known about the characteristics of edit-run cycles themselves. To bridge this gap, we analyzed 28 hours of programming and debugging work from 11 professional developers which encompassed over three thousand development activities. We mapped activities to edit or run steps, constructing 581 debugging and 207 programming edit-run cycles. We found that edit-run cycles are frequent. Developers edit and run the program, on average, 7 times before fixing a defect and twice before introducing a defect. Developers waited longer before again running the program when programming than debugging, with a mean cycle length of 3 minutes for programming and 1 minute for debugging. Most cycles involved an edit to a single file after which a developer ran the program to observe the impact on the final output. Edit-run cycles which included activities beyond edit and run, such as navigating between files, consulting resources, or interacting with other IDE features, were much longer, with a mean length of 5 minutes, rather than 1.5 minutes. We conclude with a discussion of design recommendations for tools to enable more fluidity in edit-run cycles.

关键词： Debugging programming live programming Development environments

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Automatic Program Repair as Semantic Suggestions: An Empirical Study 14

Automatic Program Repair as Semantic Suggestions: An Empiric...

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14th IEEE Conference on Software Testing, Verification and Validation (ICST)

作者： Campos, Diogo Restivo, Andre Ferreira, Hugo Sereno Ramos, Afonso Univ Porto Fac Engn Porto Portugal Univ Porto Fac Engn LIACC Porto Portugal Univ Porto Fac Engn INESC TEC Porto Portugal

ISBN: (纸本)9781728168364

Automated Program Repair (APR) is an area of research focused on the automatic generation of bug-fixing patches. Current APR approaches present some limitations, namely overfitted patches and low maintainability of the generated code. Several works are tackling this problem by attempting to come up with algorithms producing higher quality fixes. In this experience paper, we explore an alternative. We believe that by using existing low-cost APR techniques, fast enough to provide real-time feedback, and encouraging the developer to work together with the APR inside the IDE, will allow them to immediately discard proposed fixes deemed inappropriate or prone to reduce maintainability. Most developers are familiar with real-time syntactic code suggestions, usually provided as code completion mechanisms. What we propose are semantic code suggestions, such as code fixes, which are seldom automatic and rarely real-time. To test our hypothesis, we implemented a Visual Studio Code extension (named pAPRika), which leverages unit tests as specifications and generates code variations to repair bugs in JavaScript. We conducted a preliminary empirical study with 16 participants in a crossover design. Our results provide evidence that, although incorporating APR in the IDE improves the speed of repairing faulty programs, some developers are too eager to accept patches, disregarding maintenance concerns.

关键词： program repair unit testing live programming

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Towards Wide-Spectrum Spreadsheet Computing 4

Towards Wide-Spectrum Spreadsheet Computing

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4th International Conference on Information and Computer Technologies (ICICT)

作者： Alda, Enzo Lopez Lombano, Javier Figuera, Monica Andres Escalante, Juan Lares Mejias, Richard Maldonado, Pablo Mininger, Jacquin Frenkel, Jaques Lakebolt Res Bethany CT 06524 USA Univ Simon Bolivar Zaragoza Spain Univ Bonn Bonn Germany Univ Simon Bolivar Madrid Spain ULACIT San Jose Costa Rica Univ Simon Bolivar Toulouse France Lakebolt Res New York NY USA

ISBN: (纸本)9781665413992

with the recent additions of dynamic arrays and user-defined functions, Microsoft Research has taken two important steps towards the unification of spreadsheets and general purpose programming environments. We offer our perspective on that quest, reiterating that the full potential of the spreadsheet computing paradigm can only be realized after removing the entanglement of the computational model and its visualization. Our experimental findings suggest this can be done without detracting from the live and user-friendly nature of the spreadsheet programming experience.

关键词： end-user development wide-spectrum computing spreadsheets live programming

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TweakIt: Supporting End-User Programmers Who Transmogrify Code 21

TweakIt: Supporting End-User Programmers Who Transmogrify Co...

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CHI Conference on Human Factors in Computing Systems

作者： Lau, Sam Ragavan, Sruti Srinivasa Milne, Ken Barik, Titus Sarkar, Advait Univ Calif San Diego La Jolla CA 92093 USA Microsoft Res Cambridge England Microsoft Redmond WA USA Microsoft Res Redmond WA USA Univ Cambridge Cambridge England

ISBN: (纸本)9781450380966

End-user programmers opportunistically copy-and-paste code snippets from colleagues or the web to accomplish their tasks. Unfortunately, these snippets often don't work verbatim, so these people-who are non-specialists in the programming language-make guesses and tweak the code to understand and apply it successfully. To support their desired workflow and facilitate tweaking and understanding, we built a prototype tool, TWEAKIT, that provides users with a familiar live interaction to help them understand, introspect, and reify how different code snippets would transform their data. Through a usability study with 14 data analysts, participants found the tool to be useful to understand the function of otherwise unfamiliar code, to increase their confidence about what the code does, to identify relevant parts of code specific to their task, and to proactively explore and evaluate code. Overall, our participants were enthusiastic about incorporating TWEAKIT in their own day-to-day work.

关键词： End-user programming live programming data analysts data workflows opportunistic code reuse

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Practical Online Debugging of Spark-like Applications 21

Practical Online Debugging of Spark-like Applications

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21st IEEE International Conference on Software Quality, Reliability and Security (QRS)

作者： Marra, Matteo Polito, Guillermo Boix, Elisa Gonzalez Vrije Univ Brussel Software Languages Lab Brussels Belgium Univ Lille Cent Lille INRIA CNRSUMR 9189CRIStAL F-59000 Lille France

ISBN: (纸本)9781665458139

Apache Spark is a framework widely used for writing Big Data analytics applications that offers a scalable and fault-tolerant model based on rescheduling failing tasks on other nodes. While this is well-suited for hardware and infrastructure errors, it is not for application errors as they will reappear in the rescheduled tasks. As a result, applications are killed, losing all the progress and forcing developers to restart them from scratch. Despite the popularity of such a failure-recovery model, understanding and debugging Spark-like applications remain challenging. When an error occurs, developers need to analyze huge log files or undergo time-consuming replays to find the bug. To address these concerns, we present an online debugging approach tailored to Big Data analytics applications. Our approach includes local debugging of remote parallel exceptions through dynamic local checkpoints, extended with domain-specific debugging operations and live code updating functionality. To deal with data-cleaning errors, we extend our model to easily allow developers to automatically ignore exceptions that happen at runtime. We validate our solution through performance benchmarks that show how our debugging approach is comparable or better than state-of-the-art debugging solutions for Big Data. Furthermore, we conduct a user study to compare our approach with another state-of-the-art debugging approach, and results show a lower time to find the solution to a bug using our approach, as well as a generally good perception of the features of the debugger.

关键词： Debugging Big Data Spark live programming

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