Studying the Role of Reusing Crowdsourcing Knowledge in Software Development

• URL: http://arxiv.org/abs/2512.07824v1
• Date: Mon, 08 Dec 2025 18:54:47 GMT
• Title: Studying the Role of Reusing Crowdsourcing Knowledge in Software Development
• Authors: Rabe Abdalkareem,
• Abstract summary: Crowdsourcing platforms, such as Stack Overflow, have changed and impacted the software development practice.<n>In these platforms, developers share and reuse their software development and programming experience.<n>However, the empirical studies of software quality are lacking, and simple questions, such as what developers use the crowdsourcing knowledge for, are unanswered.
• Score: 1.4044759410670398
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Crowdsourcing platforms, such as Stack Overflow, have changed and impacted the software development practice. In these platforms, developers share and reuse their software development and programming experience. Therefore, a plethora of research work focused on crowdsourcing in software engineering and showed that, among other things, crowdsourced development tends to increase developers' productivity and reduce time-to-market. However, in crowdsourcing, the empirical studies of software quality are lacking, and simple questions, such as what developers use the crowdsourcing knowledge for, are unanswered. Therefore, our research focused on studying the impact of reusing crowdsourcing knowledge on software projects. To do so, we conduct several large-scale empirical studies on some of the well-known crowdsourcing platforms, including Stack Overflow and npm. Our results showed that reusing knowledge from these crowdsourcing platforms has the potential to assist software development practice, specifically in the form of reusing crowdsourced code. However, using such knowledge affects the quality of the software in several aspects, such as making the software projects suffer from dependency overhead and increasing the maintenance effort. Based on these findings, we use the gained knowledge to make sound data-driven decisions where we examine software quality assurance methods to mitigate the risk of relying on crowd sourcing knowledge in software development. We examine the use of continuous integration (CI). Our analysis showed how CI can be improved to increase developers' productivity and save their resources.

Related papers

• LAMMPS: A Case Study For Applying Modern Software Engineering to an Established Research Software Package [0.0]
  We review various changes made in recent years to the software development process of the LAMMPS simulation software package and the software itself.<n>We look into how those changes have affected the code quality and ease of modifying and extending the software.<n>At the same time its audience has changed from a cohort with a generally strong software development background to a group containing many researchers with limited software development skills.
  arXiv  Detail & Related papers  (2025-05-11T07:01:36Z)
• A Purpose-oriented Study on Open-source Software Commits and Their Impacts on Software Quality [0.0]
  We categorize commits, train prediction models to automate the classification, and investigate how commit quality is impacted by commits of different purposes.<n>By identifying these impacts, we will establish a new set of guidelines for committing changes that will improve the quality.
  arXiv  Detail & Related papers  (2025-03-04T03:14:57Z)
• An Overview and Catalogue of Dependency Challenges in Open Source Software Package Registries [52.23798016734889]
  This article provides a catalogue of dependency-related challenges that come with relying on OSS packages or libraries. The catalogue is based on the scientific literature on empirical research that has been conducted to understand, quantify and overcome these challenges.
  arXiv  Detail & Related papers  (2024-09-27T16:20:20Z)
• Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions [50.545824691484796]
  We identify six themes around the theme challenges and opportunities to improve Software Developer Diversity and Inclusion (SDDI)<n>We identify benefits, harms, and future research directions for the four main themes.<n>We discuss the remaining two themes, Artificial Intelligence & SDDI and AI & Computer Science education, which have a cross-cutting effect on the other themes.
  arXiv  Detail & Related papers  (2024-04-10T16:18:11Z)
• Charting a Path to Efficient Onboarding: The Role of Software Visualization [49.1574468325115]
  The present study aims to explore the familiarity of managers, leaders, and developers with software visualization tools. This approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews.
  arXiv  Detail & Related papers  (2024-01-17T21:30:45Z)
• Code Ownership in Open-Source AI Software Security [18.779538756226298]
  We use code ownership metrics to investigate the correlation with latent vulnerabilities across five prominent open-source AI software projects. The findings suggest a positive relationship between high-level ownership (characterised by a limited number of minor contributors) and a decrease in vulnerabilities. With these novel code ownership metrics, we have implemented a Python-based command-line application to aid project curators and quality assurance professionals in evaluating and benchmarking their on-site projects.
  arXiv  Detail & Related papers  (2023-12-18T00:37:29Z)
• Intelligent Software Tooling for Improving Software Development [3.1763879286782966]
  Deep Learning (DL) has shown huge advancements in automation across many domains, including Software Development processes. One of the main reasons behind this success is the availability of large datasets such as open-source code available through GitHub or image datasets of mobile Graphical User Interfaces (GUIs) with RICO and ReDRAW to be trained on.
  arXiv  Detail & Related papers  (2023-10-17T01:29:07Z)
• Embedded Software Development with Digital Twins: Specific Requirements for Small and Medium-Sized Enterprises [55.57032418885258]
  Digital twins have the potential for cost-effective software development and maintenance strategies. We interviewed SMEs about their current development processes. First results show that real-time requirements prevent, to date, a Software-in-the-Loop development approach.
  arXiv  Detail & Related papers  (2023-09-17T08:56:36Z)
• State-Of-The-Practice in Quality Assurance in Java-Based Open Source Software Development [3.4800665691198565]
  We investigate whether and how quality assurance approaches are being used in conjunction in the development of 1,454 popular open source software projects on GitHub. Our study indicates that typically projects do not follow all quality assurance practices together with high intensity. In general, our study provides a deeper understanding of how existing quality assurance approaches are currently being used in Java-based open source software development.
  arXiv  Detail & Related papers  (2023-06-16T07:43:11Z)
• The GitHub Development Workflow Automation Ecosystems [47.818229204130596]
  Large-scale software development has become a highly collaborative endeavour. This chapter explores the ecosystems of development bots and GitHub Actions. It provides an extensive survey of the state-of-the-art in this domain.
  arXiv  Detail & Related papers  (2023-05-08T15:24:23Z)
• Machine Learning for Software Engineering: A Systematic Mapping [73.30245214374027]
  The software development industry is rapidly adopting machine learning for transitioning modern day software systems towards highly intelligent and self-learning systems. No comprehensive study exists that explores the current state-of-the-art on the adoption of machine learning across software engineering life cycle stages. This study introduces a machine learning for software engineering (MLSE) taxonomy classifying the state-of-the-art machine learning techniques according to their applicability to various software engineering life cycle stages.
  arXiv  Detail & Related papers  (2020-05-27T11:56:56Z)
• Knowledge Integration of Collaborative Product Design Using Cloud Computing Infrastructure [65.2157099438235]
  The main focus of this paper is the concept of ongoing research in providing the knowledge integration service for collaborative product design and development using cloud computing infrastructure. Proposed knowledge integration services support users by giving real-time access to knowledge resources.
  arXiv  Detail & Related papers  (2020-01-16T18:44:27Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.