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Towards ubiquitous requirements engineering through recommendations based on context histories.

Robson Lima1, Alexsandro S Filippetto1, Wesllei Heckler1

  • 1Applied Computing Graduate Program (PPGCA), University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, RS, Brazil.

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Summary

This study introduces Nhatos, an intelligent model for requirements management. It analyzes project histories to recommend reusable requirements, achieving over 70% stakeholder acceptance in industry case studies.

Keywords:
Context historiesContext-aware computingRequirements engineeringUbiquitous computing

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Area of Science:

  • Computer Science
  • Software Engineering
  • Artificial Intelligence

Background:

  • Rapid technological advancements necessitate adaptive business strategies.
  • Project management faces constant uncertainties, highlighting the need for robust requirements engineering.
  • Increasing stakeholder numbers in projects demand intelligent tools for efficient management.

Purpose of the Study:

  • To propose Nhatos, a computational model for ubiquitous requirements management.
  • To leverage project context histories for recommending reusable requirements.
  • To enhance project success rates through intelligent requirements engineering.

Main Methods:

  • Development of Nhatos, a computational model for requirements management.
  • Utilizing similarity analysis on project context histories.
  • Implementation of a prototype and evaluation via a case study with 153 software projects from a financial institution.

Main Results:

  • Nhatos analyzes project context histories to recommend reusable requirements.
  • The model demonstrated effectiveness in a real-world industrial setting.
  • Over 70% stakeholder acceptance of the model's recommendations was achieved.

Conclusions:

  • Nhatos offers a novel approach to requirements management by using similarity analysis of context histories.
  • The model shows significant potential for improving project success through intelligent requirement recommendations.
  • Ubiquitous requirements management can be effectively supported by intelligent computational models.