Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information

Abstract

Requirements documents, test procedures, and problem and change reports from a U. S. Army Software Engineering Center (SEC) were analyzed to identify, clarify, and begin categorizing recurring patterns of issues raised throughout the product life cycle. Semi-automated content analysis was used to identify underlying patterns in the SEC documents. Automated tools and techniques were used to support efficient search and related semantic analysis that would not be possible manually. Discussions with Army personnel were used to confirm and elaborate initial findings and interpretations. The same analytic methods can be used as a basis for novel, proactive causal analysis processes. One of the patterns identified suggests that usability is not sufficiently articulated and quantified early in the product life cycle. While the SEC has established exemplary processes to handle usability-related issues when they arise, some of them might be mitigated or prevented by documented consideration upstream.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
AD1145893

Entities

People

  • Dennis R. Goldenson
  • Ira A. Monarch
  • Lawrence T. Osiecki

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Army Personnel
  • Classification
  • Cognitive Systems Engineering
  • Computer Programs
  • Engineering
  • Engineers
  • Human-Computer Interaction
  • Information Exchange
  • Information Science
  • Information Systems
  • Life Cycles
  • Management Personnel
  • Military Acquisition
  • Natural Languages
  • Ontologies
  • Robotics
  • Software Design
  • Software Development
  • Systems Engineering
  • United States
  • United States Government
  • User Interface
  • War Colleges

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Organizational Process Management (OPM).
  • Systems Analysis and Design