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Bridging Incremental programming and Complex Software Development Environments 3

Bridging Incremental Programming and Complex Software Develo...

3rd ACM SIGPLAN International Workshop on programming Abstractions and Interactive Notations, Tools, and Environments (PAINT)

作者： Boksem, Max van Binsbergen, L. Thomas Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9798400712128

In modern software development, programmers typically choose between two main types of coding environments: Incremental programming Environments (IPEs), such as the Read-Eval-Print-Loop (REPL) interpreter IPython and the Jupyter Computational Notebook, and Integrated (text-based) Development Environments (IDEs), such as Visual Studio Code. IPEs excel in providing immediate feedback for iterative development, testing, and debugging, making them ideal for fields like data science and AI. However, their typically linear and isolated interface struggles with managing the complexity of larger software projects. Conversely, traditional IDEs support extensive project management and debugging tools suited for complex applications but lack the interactive and incremental nature of IPEs. This paper reports on an ongoing investigation and design of a hybrid environment that combines benefits of IPEs and IDEs and the programming styles they naturally support. Central to our design is a graph structure representing code fragments as nodes and code structure as edges. By considering various types of nodes and relationships (e.g. for representing class membership, execution order, documentation, and dependencies) we can facilitate aspects of both incremental programming (in IPEs) and complexity management (in IDEs). We demonstrate our approach with a prototype, called Incremental Graph Code (IGC), by presenting its architecture and a showcase. We demonstrate IGC's functionality and discuss its potential advantages over existing environments. Key features include advanced code visualization, modular and incremental development, and complexity management. IGC aims to provide a unified, extensible, and flexible development environment that bridges the gap between different styles of programming.

关键词： incremental programming exploratory programming read-eval-print loop visual general-purpose language development environment software complexity management

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Casual Notebooks and Rigid Scripts: Understanding Data Science programming

Casual Notebooks and Rigid Scripts: Understanding Data Scien...

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

作者： Subramanian, Krishna Hamdan, Nur Borchers, Jan Rhein Westfal TH Aachen D-52074 Aachen Germany

ISBN: (纸本)9781728169019

Data workers are non-professional data scientists who often use scripting languages like R, Python, or MATLAB, and employ an exploratory programming workflow. Current IDEs offer them two main programming modalities: script files and computational notebooks. To understand how these modalities impact work practice, we conducted a study with 21 data workers, and a subsequent larger survey with 62 respondents. Through interviews, walkthroughs, and screen recordings, we collected information about their workflows. Our analysis shows a tension between scripts and computational notebooks. Scripts are more common, better support storage and execution of previous analyses, but hinder experimentation. Notebooks better suit the actual data science workflow, but can become easily unorganized. We discuss how this dual nature of modality usage leads to several issues that affect data workers' workflows, and discuss implications for the design of programming IDEs.

关键词： scripting languages exploratory programming programming interfaces data science notebooks

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Glinda: Supporting Data Science with Live programming, GUIs and a Domain-specific Language 21

Glinda: Supporting Data Science with Live Programming, GUIs ...

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CHI Conference on Human Factors in Computing Systems

作者： DeLine, Robert Microsoft Res Redmond WA 98052 USA

ISBN: (纸本)9781450380966

Researchers have explored several avenues to mitigate data scientists' frustrations with computational notebooks, including: (1) live programming, to keep notebook results consistent and up to date;(2) supplementing scripting with graphical user interfaces (GUIs), to improve ease of use;and (3) providing domain-specific languages (DSLs), to raise a script's level of abstraction. This paper introduces Glinda, which combines these three approaches by providing a live programming experience, with interactive results, for a domain-specific language for data science. The language's compiler uses an open-ended set of "recipes" to execute steps in the user's data science workflow. Each recipe is intended to combine the expressiveness of a written notation with the ease-of-use of a GUI. Live programming provides immediate feedback to a user's input, whether in the form of program edits or GUI gestures. In a qualitative evaluation with 12 professional data scientists, participants highly rated the live programming and interactive results. They found the language productive and sufficiently expressive and suggested opportunities to extend it.

关键词： data science exploratory programming domain-specific language live programming

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Toward Studying Example-Based Live programming in CS/SE Education 2

Toward Studying Example-Based Live Programming in CS/SE Educ...

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

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

ISBN: (纸本)9798400703997

Source code is inherently abstract. While this is necessary to capture the generality of a program, it poses a barrier to understanding and learning to use the underlying concepts. In education, especially in abstract subjects like maths, the use of concrete examples is considered instrumental to the acquisition of knowledge and a frequently explored direction for teaching computational concepts. Besides concreteness, the importance of examples being close to their abstract descriptions as well as the immediacy of feedback has been highlighted. Babylonian programming (BP) is a type of example-based live programming that fulfills all three criteria by introducing concrete values, moving them as close as possible to the code, and updating them immediately in response to changes of either the example or the code. This makes BP a promising tool in education, yet no studies on the suitability of BP in a learning context have been conducted. Hence, we propose to (1.) investigate usability of state-of-the-art BP to minimize the friction of introducing BP in education, and (2.) measure the learning effectiveness and quality of experience of a BP environment in undergraduate software engineering education. For these studies, we will use the Smalltalk-based Babylonian/S as our environment. Besides clearer guidelines on the design of BP and example-based systems in general, we expect to shed light on the qualities that teacher-provided examples need to exhibit and the opportunities for learners to create their own examples during experimentation with unknown concepts.

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

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Calling Cards: Concrete Visual End-User programming 22

Calling Cards: Concrete Visual End-User Programming

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

作者： Homer, Michael Victoria Univ Wellington Sch Engn & Comp Sci Wellington New Zealand

ISBN: (纸本)9781450396561

Creating a program that performs even a simple task and shows the result is unapproachable to most people, and even trained programmers face a burden to create a new program. In this paper, we introduce a prototype system and model for live visual dataflow programming where intermediate steps are visible and all components are tangible and manifest. Our system aims to allow a user to dive in and immediately have a working program that can be incrementally extended.

关键词： end-user programming exploratory programming visual programming dataflow 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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Slisp: A flexible software toolkit for hybrid, embedded and distributed applications

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SOFTWARE-PRACTICE & EXPERIENCE 1997年第1期27卷 33-48页

作者： Brinkley, JF Prothero, JS Structural Informatics Group Digital Anatomist Program University of Washington Seattle WA 98195 United States

We describe Slisp (pronounced 'Ess-Lisp'), a hybrid Lisp-C programming toolkit for the development of scriptable and distributed applications. Computationally expensive operations implemented as separate C-coded modules are selectively compiled into a small Xlisp interpreter, then called as Lisp functions in a Lisp-coded program. The resulting hybrid program may run in several modes: as a stand-alone executable, embedded in a different C program, as a networked server accessed from another Slisp client, or as a networked server accessed from a C-coded client. Five years of experience with Slisp, as well experience with other scripting languages such as Tcl and Perl are summarized. These experiences suggest that Slisp will be most useful for mid-sized applications in which the kinds of scripting and embeddability features provided by Tcl and Perl can be extended in an efficient manner to larger applications, while maintaining a well-defined standard (Common Lisp) for these extensions. In addition, the generality of Lisp makes Lisp a good candidate for an application-level communication language in distributed environments.

关键词： exploratory programming hybrid programming Lisp C Xlisp World Wide Web scripting languages

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Multiverse Notebook Shifting Data Scientists to Time Travelers

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PROCEEDINGS OF THE ACM ON programming LANGUAGES-PACMPL 2024年第OOPSLA期8卷 754-783页

作者： Sato, Shigeyuki Nakamaru, Tomoki Univ Electrocommun Tokyo Japan Univ Tokyo Tokyo Japan

Computational notebook environments are popular and de facto standard tools for programming in data science, whereas computational notebooks are notorious in software engineering. The criticism there stems from the characteristic of facilitating unrestricted dynamic patching of running programs, which makes exploratory coding quick but the resultant code messy and inconsistent. In this work, we first reveal that dynamic patching is a natural demand rather than a mere bad practice in data science programming on Kaggle. We then develop Multiverse Notebook, a computational notebook engine for time-traveling exploration. It enables users to time-travel to any past state and restart with new code from there under state isolation. We present an approach to efficiently implementing time-traveling exploration. We empirically evaluate Multiverse Notebook on ten real-world tasks from Kaggle. Our experiments show that time-traveling exploration on Multiverse Notebook is reasonably efficient.

关键词： exploratory programming Computational notebook Memorymanagement

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SELF. The power of simplicity

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LISP and Symbolic Computation 1991年第3期4卷 187-187页

作者： Ungar, David Smith, Randall B. Present address: Sun Microsystems 2500 Garcia Avenue 94043 Mountain View CA Computer Systems Laboratory Stanford University 94305 Stanford California Xerox Palo Alto Research Center 94304 Palo Alto California

SELF is an object-oriented language for exploratory programming based on a small number of simple and concrete ideas: prototypes, slots, and behavior. Prototypes combine inheritance and instantiation to provide a framework that is simpler and more flexible than most object-oriented languages. Slots unite variables and procedures into a single construct. This permits the inheritance hierarchy to take over the function of lexical scoping in conventional languages. Finally, because SELF does not distinguish state from behavior, it narrows the gaps between ordinary objects, procedures, and closures. SELF's simplicity and expressiveness offer new insights into object-oriented *** thine own self be true. — William Shakespeare laggy

关键词： Operating System Artificial Intelligence exploratory programming Single Construct Ordinary Object

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SHARP: Exploring Version Control Systems in Live Coding Music 16

SHARP: Exploring Version Control Systems in Live Coding Musi...

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16th ACM Conference on Creativity and Cognition (C and C)

作者： Manesh, Daniel Bowman, Douglas, Jr. Lee, Sang Won Virginia Tech Blacksburg VA 24061 USA

ISBN: (纸本)9798400704857

Version control systems, which have proven essential for software engineering, can also provide value to creative and artistic practices. In this paper, we explore version control in the creative domain of live coding music, a generative performance practice where programmers edit and run code live to generate audiovisual artifacts. To that end, we developed SHARP, a lightweight version control system that live coders can use during performances as well as in preparation or practice sessions. We conducted a user study where live coders used SHARP for several weeks, wrote diary entries reflecting on their sessions, recorded a performance using SHARP, and participated in exit interviews. We found that SHARP enabled participants to engage with musical form on the fly in novel ways. In addition, the study revealed multifaceted perspectives on how and when versioning can be useful in the context of live coding. Our results inform the design of versioning systems for live coding and more generally for performance and generative arts practices.

关键词： live coding versioning exploratory programming creativity support tools

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