Annotating Software Requirement Specifcations with Mobile Speech Recognition

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dc.contributor.authorPetersson, Ola
dc.contributor.authorMellgren, Viktor
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:39:08Z
dc.date.available2019-07-03T13:39:08Z
dc.date.issued2013
dc.description.abstractRequirements are crucial in software engineering and there is ample support for how to elicit and document them; however, relatively little support exist for requirements maintenance. We argue that lightweight methods for annotating requirements are needed and present a system based on speech recognition to enable it. This paper describes the system design and a set of experiments and user tests to validate its use. For more realistic evaluation our system has been adapted to the commercial requirements management tool SystemWeaver. Results show that the accuracy of free text speech input is not high enough to enable free-form addition and edits to requirements. However, requirements identification and annotation is practical by extending the system with string distance calculations to the set of requirements being matched. Lookup times on industrial requirements data was deemed practical in user tests, in particular for annotations on the go and during requirement reviews.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/217049
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleAnnotating Software Requirement Specifcations with Mobile Speech Recognition
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeSoftware engineering and technology (MPSOF), MSc
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