From User Stories to Use Case Scenarios towards a Generative Approach

Ambiguity in user stories: A systematic literature review

“…In [42], inconsistency was detected when a tool was used to comprehend complex sentences in user stories. Similarly, the problem was found in [47] when the robustness diagram wrongly interpreted information from user stories.…”

“…Given that situation, numerous studies have been conducted to detect and reduce ambiguity in natural language requirements. Studies focusing on detecting ambiguity generally applied means of automatic interpretation of natural language requirements (e.g., [24,28,37,[39][40][41]) or the transformation of natural language requirements into models (e. g., [36,[42][43][44][45][46][47]). Studies that aimed to reduce ambiguity in natural language requirements proposed grammatical restrictions (e.g., [26,[48][49][50]), the standardization of sentence structures (e.g., [32,51,52]), and models or ontologies supporting requirements formulation (e.g., [53][54][55][56][57]).…”

“…Inconsistency is a problem that occurs within a set of related user stories if interpretations conflict, hence it is a problem of ambiguity. The reviewed studies showed that inconsistency may result in requirements being incomplete [41,43,46,47,49,53,73,74,76] and systems being non-compliant [24,43,45,46,49,55,57,[69][70][71][72][73][74][75][76].…”

“…As a syntactic ambiguity problem, inconsistency has been identified through user story fragmentation into Part-of-Speech tags (e.g., verb, noun) [42,47]. In [42], inconsistency was detected when a tool was used to comprehend complex sentences in user stories.…”

“…Studies proposing solutions for syntactic ambiguity address problems of vagueness [31,33,67] and inconsistency [42,47]. For increasing the precision of user story articulation, sentence patterns were introduced in [33].…”