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检索条件"主题词=Exploratory programming"

共 42 条记录，以下是31-40 订阅

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Relentless Repairability or Reckless Reuse Whether or Not to Rebuild a Concern with Your Familiar Tools and Materials

Relentless Repairability or Reckless Reuse Whether or Not to...

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ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on programming and Software (Onward!)

作者： Taeumel, Marcel Hirschfeld, Robert Hasso Plattner Inst Potsdam Germany Univ Potsdam Potsdam Germany

ISBN: (纸本)9781450399098

We must retain liveness and exploratory practices within the programming systems that make us feel most productive. However, the temptation to just reuse black boxes through limited interfaces is pervasive. We expect time savings and better performance at the cost of poor repairability. Fortunately, we also know about the benefits of having an open implementation constructed from familiar materials, integrated with familiar tools. Consequently, it is primarily a matter of "just building it" ... again? Piece of cake. What could possibly go wrong?

关键词： self-sustaining systems exploratory programming liveness reuse open source direct manipulation symbolic debugging code simulation flow Smalltalk Squeak

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Spellburst: A Node-based Interface for exploratory Creative Coding with Natural Language Prompts 23

Spellburst: A Node-based Interface for Exploratory Creative ...

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36th Annual ACM Symposium on User Interface Software and Technology (UIST)

作者： Angert, Tyler Suzara, Miroslav Ivan Han, Jenny Pondoc, Christopher Lawrence Subramonyam, Hariharan Replit San Francisco CA 94107 USA Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9798400701320

Creative coding tasks are often exploratory in nature. When producing digital artwork, artists usually begin with a high-level semantic construct such as a "stained glass filter" and programmatically implement it by varying code parameters such as shape, color, lines, and opacity to produce visually appealing results. Based on interviews with artists, it can be effortful to translate semantic constructs to program syntax, and current programming tools don't lend well to rapid creative exploration. To address these challenges, we introduce Spellburst, a large language model (LLM) powered creative-coding environment. Spellburst provides (1) a node-based interface that allows artists to create generative art and explore variations through branching and merging operations, (2) expressive prompt-based interactions to engage in semantic programming, and (3) dynamic prompt-driven interfaces and direct code editing to seamlessly switch between semantic and syntactic exploration. Our evaluation with artists demonstrates Spellburst's potential to enhance creative coding practices and inform the design of computational creativity tools that bridge semantic and syntactic spaces.

关键词： large language models exploratory programming creative coding generative art prompt engineering

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Managing Messes in Computational Notebooks 19

Managing Messes in Computational Notebooks

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CHI Conference on Human Factors in Computing Systems (CHI)

作者： Head, Andrew Hohman, Fred Barik, Titus Drucker, Steven M. DeLine, Robert Univ Calif Berkeley Berkeley CA 94720 USA Georgia Inst Technol Atlanta GA 30332 USA Microsoft Redmond WA USA Microsoft Res Redmond WA USA

ISBN: (纸本)9781450359702

Data analysts use computational notebooks to write code for analyzing and visualizing data. Notebooks help analysts iteratively write analysis code by letting them interleave code with output, and selectively execute cells. However, as analysis progresses, analysts leave behind old code and outputs, and overwrite important code, producing cluttered and inconsistent notebooks. This paper introduces code gathering tools, extensions to computational notebooks that help analysts find, clean, recover, and compare versions of code in cluttered, inconsistent notebooks. The tools archive all versions of code outputs, allowing analysts to review these versions and recover the subsets of code that produced them. These subsets can serve as succinct summaries of analysis activity or starting points for new analyses. In a qualitative usability study, 12 professional analysts found the tools useful for cleaning notebooks and writing analysis code, and discovered new ways to use them, like generating personal documentation and lightweight versioning.

关键词： Computational notebooks messes clutter inconsistency exploratory programming code history program slicing

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Towards Effective Foraging by Data Scientists to Find Past Analysis Choices 19

Towards Effective Foraging by Data Scientists to Find Past A...

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CHI Conference on Human Factors in Computing Systems (CHI)

作者： Kery, Mary Beth John, Bonnie E. O'Flaherty, Patrick Horvath, Amber Myers, Brad A. Carnegie Mellon Univ Human Comp Interact Inst 5000 Forbes Ave Pittsburgh PA 15213 USA Bloomberg LP 731 Lexington Ave New York NY 10022 USA

ISBN: (纸本)9781450359702

Data scientists are responsible for the analysis decisions they make, but it is hard for them to track the process by which they achieved a result. Even when data scientists keep logs, it is onerous to make sense of the resulting large number of history records full of overlapping variants of code, output, plots, etc. We developed algorithmic and visualization techniques for notebook code environments to help data scientists forage for information in their history. To test these interventions, we conducted a think-aloud evaluation with 15 data scientists, where participants were asked to find specific information from the history of another person's data science project. The participants succeed on a median of 80% of the tasks they performed. The quantitative results suggest promising aspects of our design, while qualitative results motivated a number of design improvements. The resulting system, called Verdant, is released as an open-source extension for JupyterLab.

关键词： Literate programming exploratory programming Data Science End-User Programmers (EUP) End-User Software Engineering (EUSE)

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Shortening Feedback Loops in a Live Game Development Environment

Shortening Feedback Loops in a Live Game Development Environ...

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

作者： Beckmann, Tom Krebs, Eva Rein, Patrick Ramson, Stefan Hirschfeld, Robert Univ Potsdam Hasso Platter Inst Potsdam Germany

ISBN: (纸本)9781665445924

Game development benefits from short iterations, as it is often concerned with how a game will feel like;something that is hard to anticipate. Live programming aims at reducing the length of iterations during software development to allow for faster exploration and improve program comprehension. We propose a live game development environment providing a more general live programming workflow in game prototyping. The environment supports developers in two aspects: how will a code change affect the look and feel of the game and how does the behavior of the game relate to its code? The proof-of-concept environment ensures short feedback cycles by always keeping the game running while it is being developed. We propose several mechanisms to work with the running game, for example, programmers can automatically replay situations in the game by using an explicit notion of snapshots. We tentatively demonstrate the effectiveness of the live programming features in the context of the development of game prototypes of different genres.

关键词： game development game tools live programming exploratory programming

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B2: Bridging Code and Interactive Visualization in Computational Notebooks 20

B2: Bridging Code and Interactive Visualization in Computati...

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33rd Annual ACM Symposium on User Interface Software and Technology (UIST)

作者： Wu, Yifan Hellerstein, Joseph M. Satyanarayan, Arvind Univ Calif Berkeley Berkeley CA 94720 USA MIT CSAIL Cambridge MA 02139 USA

ISBN: (纸本)9781450375146

Data scientists have embraced computational notebooks to author analysis code and accompanying visualizations within a single document. Currently, although these media may be interleaved, they remain siloed: interactive visualizations must be manually specified as they are divorced from the analysis provenance expressed via dataframes, while code cells have no access to users' interactions with visualizations, and hence no way to operate on the results of interaction. To bridge this divide, we present B2, a set of techniques grounded in treating data queries as a shared representation between the code and interactive visualizations. B2 instruments data frames to track the queries expressed in code and synthesize corresponding visualizations. These visualizations are displayed in a dashboard to facilitate interactive analysis. When an interaction occurs, B2 reifies it as a data query and generates a history log in a new code cell. Subsequent cells can use this log to further analyze interaction results and, when marked as reactive, to ensure that code is automatically recomputed when new interaction occurs. In an evaluative study with data scientists, we find that B2 promotes a tighter feedback loop between coding and interacting with visualizations. All participants frequently moved from code to visualization and vice-versa, which facilitated their exploratory data analysis in the notebook.

关键词： Data science computational notebooks exploratory programming interactive visualizations

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TRACTUS: Understanding and Supporting Source Code Experimentation in Hypothesis-Driven Data Science 20

TRACTUS: Understanding and Supporting Source Code Experiment...

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CHI Conference on Human Factors in Computing Systems (CHI)

作者： Subramanian, Krishna Maas, Johannes Borchers, Jan Rhein Westfal TH Aachen D-52074 Aachen Germany

ISBN: (纸本)9781450367080

Data scientists experiment heavily with their code, compromising code quality to obtain insights faster. We observed ten data scientists perform hypothesis-driven data science tasks, and analyzed their coding, commenting, and analysis practice. We found that they have difficulty keeping track of their code experiments. When revisiting exploratory code to write production code later, they struggle to retrace their steps and capture the decisions made and insights obtained, and have to rerun code frequently. To address these issues, we designed TRACTUS, a system extending the popular RStudio IDE, that detects, tracks, and visualizes code experiments in hypothesisdriven data science tasks. TRACTUS helps recall decisions and insights by grouping code experiments into hypotheses, and structuring information like code execution output and documentation. Our user studies show how TRACTUS improves data scientists' workflows, and suggest additional opportunities for improvement. TRACTUS is available as an open source RStudio IDE addin at http://***- ***/tractus.

关键词： Data Science programming IDE exploratory programming Information visualization Observational study

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A Domain-Specific Language for exploratory Data Visualization 2018

A Domain-Specific Language for Exploratory Data Visualizatio...

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17th ACM SIGPLAN International Conference on Generative programming - Concepts and Experiences (GPCE) part of the SPLASH Collection of Conferences and Workshops

作者： Smeltzer, Karl Erwig, Martin Oregon State Univ Corvallis OR 97331 USA

ISBN: (纸本)9781450360456

With an ever-growing amount of collected data, the importance of visualization as an analysis component is growing in concert. The creation of good visualizations often doesn't happen in one step but is rather an iterative and exploratory process. However, this process is currently not well supported in most of the available visualization tools and systems. Visualization authors are forced to commit prematurely to particular design aspects of their creations, and when exploring potential variant visualizations, they are forced to adopt ad hoc techniques such as copying code snippets or keeping a collection of separate files. We propose variational visualizations as a model supporting open-ended exploration of the design space of information visualization. Together with that model, we present a prototype implementation in the form of a domain-specific language embedded in Purescript.

关键词： Data Visualization exploratory programming

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Object-Centric Time-Travel Debugging Exploring Traces of Objects 23

Object-Centric Time-Travel Debugging Exploring Traces of Obj...

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

作者： Thiede, Christoph Taeumel, Marcel Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9798400707551

Traditional behavior-centric debuggers are organized around an extensive call stack, making it hard for programmers to navigate and explore large programs. We present object traces, a novel, object-centric approach to time-travel debugging that enables programmers to directly interact with recorded states of objects and explore their evolution in a simplified call tree. Our approach allows programmers to send messages to the object trace to ask questions of different granularity, from single variable values to custom representations of object graphs. We demonstrate practicability by applying it to the TraceDebugger, a time-travel debugger for Squeak/Smalltalk. We examine the practical opportunities and limitations of object traces and suggest directions for future work.

关键词： object-oriented debugging time-travel debugging back-in-time debugging omniscient debugging query-based debugging declarative debugging program tracing program comprehension program exploration exploratory programming moldable development Smalltalk

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Explorativní editace zdrojových textů

Explorativní editace zdrojových textů

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作者： Šomlo, Ivan Brno University of Technology

Diplomová práce se věnuje nástrojům, které jsou běžně používané vývojáři v explorativních prostředích jazyků Smalltalk a Self. Tyto jazyky osvobozují uživatele... 详细信息

Diplomová práce se věnuje nástrojům, které jsou běžně používané vývojáři v explorativních prostředích jazyků Smalltalk a Self. Tyto jazyky osvobozují uživatele od nestrukturovaných zdrojových textů. Na druhé straně obsahují nástroje s bohatšími vlastnostmi. Práce obsahuje analýzu, návrh a popis implementace nástroje Object Viewer, který vychází z prostředí jazyka Self a je určený pro jazyky C a C++. Nástroj graficky zobrazuje fragmenty programu (objekty a ukazatele) a umožňuje jejich manipulaci během ladění programu. Na konci práce jsou shrnuty výsledky a navrhnuta další možná rozšíření.

关键词： Explorativní programování Smalltalk Self C++ vizualizace diagram objektů CodeModel DIA Visual Studio Xrefs exploratory programming Smalltalk Self C++ visualization object diagram CodeModel DIA Visual Studio Xrefs Text

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