IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i17p3175-d905753.html
   My bibliography  Save this article

VID2META: Complementing Android Programming Screencasts with Code Elements and GUIs

Author

Listed:
  • Mohammad D. Alahmadi

    (Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia)

Abstract

The complexity of software projects and the rapid technological evolution make it such that developers often need additional help and knowledge to tackle their daily tasks. For this purpose, they often refer to online resources, which are easy to access and contain a wealth of information in various formats. Programming screencasts hosted on platforms such as YouTube are one such online resource that has seen a growth in popularity and adoption over the past decade. These screencasts usually have some metadata such as a title, a short description, and a set of tags that should describe what the main concepts captured in the video are. Unfortunately, metadata are often generic and do not contain detailed information about the code showcased in the tutorial, such as the API calls or graphical user interface (GUI) elements employed, which could lead to developers missing useful tutorials. Having a quick overview of the main code elements and GUIs used in a video tutorial can be very helpful for developers looking for code examples involving specific API calls, or looking to design applications with a specific GUI in mind. The aim is to make this information easily available to developers, and propose VID2META, a technique that automatically extracts Java import statements, class names, method information, GUI elements, and GUI screens from videos and makes them available to developers as metadata. VID2META is currently designed to work with Android screencasts. It analyzes video frames using a combination of computer vision, deep learning, optical character recognition, and heuristic-based approaches to identify the needed information in a frame, extract it, and present it to the developer. VID2META has been evaluated in an empirical study on 70 Android programming videos collected from YouTube. The results revealed that VID2META can accurately detect and extract Java and GUI elements from Android programming videos with an average accuracy of 90%.

Suggested Citation

  • Mohammad D. Alahmadi, 2022. "VID2META: Complementing Android Programming Screencasts with Code Elements and GUIs," Mathematics, MDPI, vol. 10(17), pages 1-22, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3175-:d:905753
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/17/3175/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/17/3175/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammad D. Alahmadi & Moayad Alshangiti, 2024. "Optimizing OCR Performance for Programming Videos: The Role of Image Super-Resolution and Large Language Models," Mathematics, MDPI, vol. 12(7), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3175-:d:905753. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.