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

Technical Report
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.
Publisher

Software Engineering Institute

CMU/SEI Report Number
CMU/SEI-2008-TR-018
DOI (Digital Object Identifier)
10.1184/R1/6583175.v1

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.

Cite This Technical Report

Monarch, I., Goldenson, D., & Osiecki, L. (2008, September 1). Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information. (Technical Report CMU/SEI-2008-TR-018). Retrieved February 23, 2024, from https://doi.org/10.1184/R1/6583175.v1.

@techreport{monarch_2008,
author={Monarch, Ira and Goldenson, Dennis and Osiecki, Lawrence},
title={Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information},
month={Sep},
year={2008},
number={CMU/SEI-2008-TR-018},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/6583175.v1},
note={Accessed: 2024-Feb-23}
}

Monarch, Ira, Dennis Goldenson, and Lawrence Osiecki. "Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information." (CMU/SEI-2008-TR-018). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, September 1, 2008. https://doi.org/10.1184/R1/6583175.v1.

I. Monarch, D. Goldenson, and L. Osiecki, "Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Report CMU/SEI-2008-TR-018, 1-Sep-2008 [Online]. Available: https://doi.org/10.1184/R1/6583175.v1. [Accessed: 23-Feb-2024].

Monarch, Ira, Dennis Goldenson, and Lawrence Osiecki. "Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information." (Technical Report CMU/SEI-2008-TR-018). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 1 Sep. 2008. https://doi.org/10.1184/R1/6583175.v1. Accessed 23 Feb. 2024.

Monarch, Ira; Goldenson, Dennis; & Osiecki, Lawrence. Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information. CMU/SEI-2008-TR-018. Software Engineering Institute. 2008. https://doi.org/10.1184/R1/6583175.v1