Sökning: "Git metadata"

Hittade 4 uppsatser innehållade orden Git metadata.

  1. 1. Visualizing bug-prone code via version control metadata

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Simon Gradin; [2023]
    Nyckelord :Development; Git; Metadata; visualization; treemap; treemaps; bugs; bug; bug prediction;

    Sammanfattning : Software being developed today can have years worth of history and hundreds if notthousands of files involved in a single project. When trying to determine what parts ofthe code need maintenance or updating it can be difficult to determine what will beproblematic in the future. LÄS MER

  3. 2. Can you Change the World with only 3 Commits? : Monitoring the Commit Behaviour of First Year Computer Science Students

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Simon Osnes; Amanda Berg; [2021]
    Nyckelord :Bachelor Thesis; Version Control System; Git; GitHub; Education; Computer Science Education; Commit Behaviour; Kandidatexamensarbete; Versionshanteringssystem; Git; GitHub; Lärande; Datateknik; Commitbeteende;

    Sammanfattning : Having the skill to work with Version Control Systems (VCS) is an important aspect of most software development projects in the industry. But students may lack the knowledge on how to use it. LÄS MER

  4. 3. GitHub Visualizations and their Usefulness for GitHub Users

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Daniel Sahlin; Christian Stjernberg; [2020]
    Nyckelord :;

    Sammanfattning : The most popular versioning system is undoubtedly Git, for which GitHub with its 40 million users provides a central location at which Git repositories can be discovered and contributed to. With all of the metadata that Git repositories contain, GitHub also holds a significant amount of data in its 44 million repositories which can be accessed freely with the GitHub API. LÄS MER

  5. 4. Prediction of Code Lifetime

    Master-uppsats, Linköpings universitet/Statistik; Linköpings universitet/Tekniska fakulteten

    Författare :Per Nordfors; [2017]
    Nyckelord :machine learning; support vector machines; neural networks; code analysis; version control; open-source;

    Sammanfattning : There are several previous studies in which machine learning algorithms are used to predict how fault-prone a piece of code is. This thesis takes on a slightly different approach by attempting to predict how long a piece of code will remain unmodified after being written (its “lifetime”). LÄS MER