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Crowd-based requirements elicitation via pull feedback: method and case studies.

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|August 29, 2022
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Summary
This summary is machine-generated.

This study introduces the CREUS method for crowd-based requirements engineering (CrowdRE) using user stories. It analyzes idea quality, not just crowd size, offering insights for better stakeholder involvement in software development.

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Area of Science:

  • Software Engineering
  • Human-Computer Interaction
  • Information Systems

Background:

  • Crowd-based Requirements Engineering (CrowdRE) involves many stakeholders in requirements elicitation.
  • Existing research often focuses on crowd size rather than the quality of elicited ideas.
  • Online platforms are used for crowds to generate ideas for requirements.

Purpose of the Study:

  • To present the CREUS method for crowd-based elicitation using user stories.
  • To conduct a qualitative analysis of elicited ideas' quality.
  • To provide findings applicable to CREUS and general CrowdRE via pull feedback.

Main Methods:

  • Iterative design with three case studies across two organizations.
  • Application of Quality User Story framework criteria.
  • Automated text readability metrics and vague word analysis.
  • Assessment of user story linkage to software qualities and idea specificity.

Main Results:

  • Quantitative data on participants, ideas, and votes were collected.
  • Qualitative analysis revealed insights into the quality of elicited user stories.
  • Six key findings were distilled regarding the CREUS method and CrowdRE.

Conclusions:

  • The CREUS method offers a structured approach for crowd-based requirements elicitation.
  • Qualitative analysis is crucial for understanding the value of crowd-generated ideas.
  • Findings contribute to improving CrowdRE practices, particularly through user stories.