Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3624032.3624037acmotherconferencesArticle/Chapter ViewAbstractPublication PagessastConference Proceedingsconference-collections
extended-abstract

Prime Control-IQD: a Platform for Software Quality Analytics

Published: 17 October 2023 Publication History

Abstract

During the software development process, a huge amount of data about what is happening is produced and stored. Such a fact is even amplified when distributed software development and several working teams are taken into account. From the operational to the strategic level, it is difficult to reason about the process and make informed and evidence-based decisions about the development process. This paper introduces Prime Control-Intelligent Quality Dashboard (IQD), a platform that supports software quality analytics; its main goal is to provide means for stakeholders to understand the status of software projects from a quality perspective and to support decision making processes. So far, we deployed Prime Control-IQD in ten clients, extracting data and presenting visually pieces of relevant information for several professionals and managers. It has replaced manual in-house initiatives and there has been a constant demand for new features and evolution.

References

[1]
Raymond P. L. Buse and Thomas Zimmermann. 2012. Information needs for software development analytics. In 34th International Conference on Software Engineering, ICSE 2012, June 2-9, 2012, Zurich, Switzerland. IEEE Computer Society, 987–996.
[2]
Tim Menzies and Thomas Zimmermann. 2013. Software Analytics: So What?IEEE Software 30, 4 (2013), 31–37.
[3]
Harold Ossher, William H. Harrison, and Peri L. Tarr. 2000. Software engineering tools and environments: a roadmap. In Future of Software Engineering Track, ICSE 2000, Limerick Ireland, June 4-11, 2000, Anthony Finkelstein (Ed.). ACM, 261–277.

Index Terms

  1. Prime Control-IQD: a Platform for Software Quality Analytics

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    SAST '23: Proceedings of the 8th Brazilian Symposium on Systematic and Automated Software Testing
    September 2023
    133 pages
    ISBN:9798400716294
    DOI:10.1145/3624032
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 October 2023

    Check for updates

    Qualifiers

    • Extended-abstract
    • Research
    • Refereed limited

    Conference

    SAST 2023

    Acceptance Rates

    Overall Acceptance Rate 45 of 92 submissions, 49%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 26
      Total Downloads
    • Downloads (Last 12 months)26
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 28 Sep 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media