dc.contributor.author | Deosi, Navneet | |
dc.description.abstract | 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. | en_US |
dc.publisher | North Dakota State University | en_US |
dc.rights | NDSU policy 190.6.2 | en_US |
dc.title | Effectiveness of Human Error Abstraction Assist Tool at Improving the Quality of Software Requirements | en_US |
dc.type | Master's paper | en_US |
dc.date.accessioned | 2020-01-24T20:24:36Z | |
dc.date.available | 2020-01-24T20:24:36Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://hdl.handle.net/10365/31367 | |
dc.subject.lcsh | Requirements engineering. | |
dc.subject.lcsh | Computer software -- Human factors. | |
dc.subject.lcsh | Software failures. | |
dc.subject.lcsh | Human-computer interaction. | |
dc.subject.lcsh | Software engineering. | |
dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
ndsu.degree | Master of Science (MS) | en_US |
ndsu.college | Engineering | en_US |
ndsu.department | Computer Science | en_US |
ndsu.program | Software Engineering | en_US |
ndsu.advisor | Walia, Gursimran | |