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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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SEI

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, Carnegie Mellon University, 2008. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=8769

IEEE

Monarch. Ira, Goldenson. Dennis, and Osiecki. Lawrence, "Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Report CMU/SEI-2008-TR-018, 2008. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=8769

APA

Monarch, Ira., Goldenson, Dennis., & Osiecki, Lawrence. (2008). Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information (CMU/SEI-2008-TR-018). Retrieved September 01, 2014, from the Software Engineering Institute, Carnegie Mellon University website: http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=8769

CHI

Ira Monarch, Dennis Goldenson, & Lawrence Osiecki. Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information (CMU/SEI-2008-TR-018). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2008. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=8769

MLA

Monarch, Ira., Goldenson, Dennis., & Osiecki, Lawrence. 2008. Requirements and Their Impact Downstream: Improving Causal Analysis Processes Through Measurement and Analysis of Textual Information (Technical Report CMU/SEI-2008-TR-018). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=8769