2017
DOI: 10.1007/978-3-319-67585-5_59
|View full text |Cite
|
Sign up to set email alerts
|

Effective User Stories are Affective

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
2
2
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 6 publications
0
4
0
Order By: Relevance
“…This kind of ambiguity is found at all linguistic levels. From our review of the studies, we learn that vagueness as a lexical ambiguity problem manifests itself as unclear word choices in user stories [66].…”
Section: Vaguenessmentioning
confidence: 99%
See 1 more Smart Citation
“…This kind of ambiguity is found at all linguistic levels. From our review of the studies, we learn that vagueness as a lexical ambiguity problem manifests itself as unclear word choices in user stories [66].…”
Section: Vaguenessmentioning
confidence: 99%
“…For tackling vagueness at the level of lexical ambiguity, word glossaries based on user preferences that are observed in previously written user stories are proposed as a solution in [66]. The unstandardized expression of user stories was indicated as the primary cause of lexical ambiguity leading to user story inconsistency, as noted in [49].…”
Section: Lexical Ambiguitymentioning
confidence: 99%
“…For example, Colomo-Palacios et al (2011) asked users to rank requirements according to Russel's Valence-Arousal theory, which is the one that we adopt in the present study (see Section 2.1) They use this information to enhance effective resolution of conflicting requirements. Other researchers leverage information regarding users' emotions gathered through psychometrics (e.g., surveys) to augment tradi-tional requirements goal modelling approaches (Taveter et al, 2019;Miller et al, 2015) and artefacts, such as user stories (Kamthan and Shahmir, 2017).…”
Section: Sentiment and Emotions In Requirements Engineeringmentioning
confidence: 99%
“…For example, Colomo-Palacios et al ( 2011) asked users to rank requirements according to Russel's Valence-Arousal theory, which is the one that we adopt in the present study (see Section 2.1) They use this information to enhance effective resolution of conflicting requirements. Other researchers leverage information regarding users' emotions gathered through psychometrics (e.g., surveys) to augment traditional requirements goal modelling approaches (Taveter et al, 2019;Miller et al, 2015) and artefacts, such as user stories (Kamthan and Shahmir, 2017).…”
Section: Sentiment and Emotions In Requirements Engineeringmentioning
confidence: 99%