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Empirical research on requirements quality : a systematic mapping study

Montgomery, Lloyd (författare)
University of Hamburg, Germany
Fucci, Davide, 1985- (författare)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
Bouraffa, Abir (författare)
University of Hamburg, Germany
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Scholz, Lisa (författare)
University of Hamburg, Germany
Maalej, Walid (författare)
University of Hamburg, Germany
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 (creator_code:org_t)
2022-02-15
2022
Engelska.
Ingår i: Requirements Engineering. - : Springer. - 0947-3602 .- 1432-010X. ; 27:2, s. 183-209
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Research has repeatedly shown that high-quality requirements are essential for the success of development projects. While the term “quality” is pervasive in the field of requirements engineering and while the body of research on requirements quality is large, there is no meta-study of the field that overviews and compares the concrete quality attributes addressed by the community. To fill this knowledge gap, we conducted a systematic mapping study of the scientific literature. We retrieved 6905 articles from six academic databases, which we filtered down to 105 relevant primary studies. The primary studies use empirical research to explicitly define, improve, or evaluate requirements quality. We found that empirical research on requirements quality focuses on improvement techniques, with very few primary studies addressing evidence-based definitions and evaluations of quality attributes. Among the 12 quality attributes identified, the most prominent in the field are ambiguity, completeness, consistency, and correctness. We identified 111 sub-types of quality attributes such as “template conformance” for consistency or “passive voice” for ambiguity. Ambiguity has the largest share of these sub-types. The artefacts being studied are mostly referred to in the broadest sense as “requirements”, while little research targets quality attributes in specific types of requirements such as use cases or user stories. Our findings highlight the need to conduct more empirically grounded research defining requirements quality, using more varied research methods, and addressing a more diverse set of requirements types. © 2022, The Author(s).

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Nyckelord

Empirical research
Requirements quality
Secondary study
Systematic mapping study
Mapping
Quality control
Development programmes
High quality
Meta-study
Quality attributes
Quality requirements
Requirement engineering
Requirement quality
Systematic mapping studies
Requirements engineering

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