Show simple item record

dc.contributor.authorDeosi, Navneet
dc.description.abstractThe 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.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleEffectiveness of Human Error Abstraction Assist Tool at Improving the Quality of Software Requirementsen_US
dc.typeMaster's paperen_US
dc.date.accessioned2020-01-24T20:24:36Z
dc.date.available2020-01-24T20:24:36Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/10365/31367
dc.subject.lcshRequirements engineering.
dc.subject.lcshComputer software -- Human factors.
dc.subject.lcshSoftware failures.
dc.subject.lcshHuman-computer interaction.
dc.subject.lcshSoftware engineering.
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programSoftware Engineeringen_US
ndsu.advisorWalia, Gursimran


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record