Date of Award

2020

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Software Engineering

Department

Computer Science

College

Engineering

Faculty Advisor

Walia, Gursimran

Description

The successful completion of any given software project is dependent on error-free Software Requirement Specification (SRS) documents. SRS documents are prone to human errors and faults because their creation involves a large amount of human interaction. This paper reports an experiment study conducted to gauge the accuracy with which the users identify the root causes of software faults in external and self-developed SRS documents. This study primarily focuses on the effective use of the Human Error Abstraction Assist (HEAA) as a tool to help users abstract human errors. HEAA was chosen because it takes all real-life mishaps into consideration and maps them to the different human error classes – slips, lapses, and mistakes. The data collected from this study reports the students’ performance in terms of accuracy and compares it with the results collected from a past study conducted with industry practitioners that also used the HEAA tool for abstracting errors.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/31367

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