2005
DOI: 10.1007/s00766-005-0018-1
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Requirements quality control: a unifying framework

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Cited by 33 publications
(19 citation statements)
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“…In ID, scenarios are proposed to be used in several phases of the design, from early requirement elicitation to design validation. Actually, as recently stressed by Katasonov et al [9], a major problem in requirement quality control is the achievement of a satisfactory level of understanding on the requirements by stakeholders especially when they lack technical expertise and do not share the same (formal and abstract) language of analysts and engineers. Due to the assumption that validating requirements is more an issue of efficiently communicating and iteratively negotiating knowledge than a linear process of checking a given corpus of data, in our study we designed visual scenarios as communication tools to allow technical and non-technical partners to symmetrically contribute to requirements validation and refinement.…”
Section: Personas and Visual Scenariosmentioning
confidence: 98%
“…In ID, scenarios are proposed to be used in several phases of the design, from early requirement elicitation to design validation. Actually, as recently stressed by Katasonov et al [9], a major problem in requirement quality control is the achievement of a satisfactory level of understanding on the requirements by stakeholders especially when they lack technical expertise and do not share the same (formal and abstract) language of analysts and engineers. Due to the assumption that validating requirements is more an issue of efficiently communicating and iteratively negotiating knowledge than a linear process of checking a given corpus of data, in our study we designed visual scenarios as communication tools to allow technical and non-technical partners to symmetrically contribute to requirements validation and refinement.…”
Section: Personas and Visual Scenariosmentioning
confidence: 98%
“…Subjects were asked how they were feeling about a given sentence, and had to select one answer among Strongly Disagree, Disagree, Neither Agree nor Disagree, Agree or Strongly Agree. The set of variables that we used in our survey is reported in Table II. The quality of documentation REC was studied using some of the quality criteria defined in the quality requirement framework suggested in [22]. Although the sentences shared by stakeholders during elicitation were not proper requirements, we consider the previous criteria can still be considered as ways to evaluate quality of information.…”
Section: Exploratory Study -Empirical Designmentioning
confidence: 99%
“…Ott [39] investigated the typical defect type distributions in current natural language requirement specifications. Katasonov et al [23] developed a unifying framework for requirement quality control. Instead of detecting requirement-related defects, our approach is to predict bugs, which can be caused by defects introduced throughout the software lifecycle.…”
Section: Early Bug Predictionmentioning
confidence: 99%
“…However, these approaches can only be applied in later phases of the software lifecycle [49,53]. Prior work also concentrated on requirement inspection techniques to detect requirement-related errors [23,46]. However, these techniques can only be used to detect errors originating in the requirements phase.…”
Section: Introductionmentioning
confidence: 99%