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dc.contributor.authorLiu, S
dc.contributor.authorSun, J
dc.contributor.authorXiao, H
dc.contributor.authorWadhwa, B
dc.contributor.authorDong, JS
dc.contributor.authorWang, X
dc.contributor.editorWang H. and Makhtari M.
dc.date.accessioned2017-10-26T03:17:29Z
dc.date.available2017-10-26T03:17:29Z
dc.date.issued2016
dc.identifier.isbn9781509055272
dc.identifier.doi10.1109/ICECCS.2016.021
dc.identifier.urihttp://hdl.handle.net/10072/172931
dc.description.abstractUse cases are widely used to capture user requirements based on interactions between different roles in the system. They are mostly documented in natural language and sometimes aided with graphical illustrations in the form of use case diagrams. Use cases serve as an important means to communicate among stakeholders, requirement engineers and system engineers as they are easy to understand and are produced early in the software development process. Having high quality use cases are beneficial in many ways, e.g., in avoiding inconsistency/incompleteness in requirements, in guiding system design, in generating test cases. In this work, we propose an approach to improve the quality of use cases using techniques including natural language processing and machine learning. The central idea is to discover potential problems in use cases through active learning and human interaction and provide feedbacks in natural language. We conduct user studies with a real-world use case document. The results show that our method is helpful in improving use cases with a reasonable amount of user interaction.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE - Institute of Electrical and Electronics Engineers
dc.publisher.placeUnited States of America
dc.relation.ispartofconferencenameICECCS 2016
dc.relation.ispartofconferencetitleProceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
dc.relation.ispartofdatefrom2016-11-06
dc.relation.ispartofdateto2016-11-08
dc.relation.ispartoflocationDubai, United Arab Emirates
dc.relation.ispartofpagefrom101
dc.relation.ispartofpageto110
dc.relation.ispartofedition1st
dc.relation.ispartofvolume0
dc.subject.fieldofresearchSoftware engineering not elsewhere classified
dc.subject.fieldofresearchcode461299
dc.titleImproving Quality of Use Case Documents through Learning and User Interaction
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorDong, Jin-Song


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