ReSEARCH: A Requirements Search Engine: Progress Report 2

Abstract

This research addresses three closely related problems. (1) Most current search technology is based on a popularity metric (e.g., PageRank or ExpertRank), but not on the semantic content of the searched document. (2) When building components in a serviceoriented architecture (SOA), developers must investigate whether components that meet certain requirements already exist. (3) There is no easy way for writers of requirements documents to formally specify the meaning and domain of their requirements. Our goal in the research presented here is to address these concerns by designing a search engine that searches over the "meanings" of requirements documents. In this paper, we present the current state of the ReSEARCH project.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA529465

Entities

People

  • Craig Martell
  • Grant Gehrke
  • Kevin Squire
  • Marco Draeger
  • Paige Adams
  • Pranav Anand
  • Ralucca Gera

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence Computing
  • Business Administration
  • Cognitive Science
  • Commerce
  • Department Of Defense
  • Information Retrieval
  • Language
  • Machine Learning
  • Natural Languages
  • Organizational Structure
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Standards
  • Websites

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Software Engineering.