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Prioritization of quality requirements : State of practice in eleven companies

Berntsson Svensson, Richard (author)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
Gorschek, Tony (author)
Blekinge Tekniska Högskola, BTH
Regnell, Björn (author)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
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Torkar, Richard (author)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
Shahrokni, Ali, 1982 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Feldt, Robert (author)
Chalmers tekniska högskola,Chalmers University of Technology
Aurum, Aybüke (author)
University of New South Wales (UNSW)
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 (creator_code:org_t)
ISBN 9781457709234
Trento : IEEE, 2011
2011
English.
In: 2011 IEEE 19th International Requirements Engineering Conference, RE 2011; Trento; 29 August 2011 through 2 September 2011. - Trento : IEEE. - 9781457709234 ; , s. 69-78, s. 69-78
  • Conference paper (peer-reviewed)
Abstract Subject headings
Close  
  • Requirements prioritization is recognized as an important but challenging activity in software product development. For a product to be successful, it is crucial to find the right balance among competing quality requirements. Although literature offers many methods for requirements prioritization, the research on prioritization of quality requirements is limited. This study identifies how quality requirements are prioritized in practice at 11 successful companies developing software intensive systems. We found that ad-hoc prioritization and priority grouping of requirements are the dominant methods for prioritizing quality requirements. The results also show that it is common to use customer input as criteria for prioritization but absence of any criteria was also common. The results suggests that quality requirements by default have a lower priority than functional requirements, and that they only get attention in the prioritizing process if decision-makers are dedicated to invest specific time and resources on QR prioritization. The results of this study may help future research on quality requirements to focus investigations on industry-relevant issues.

Subject headings

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

Keyword

Empirical Study
Non-functional requirements
Product Management
Project Management
Quality Requirements
Requirements Prioritization
Empirical Study
Non-functional requirements
Product Management
Project Management
Quality Requirements
Requirements Prioritization

Publication and Content Type

ref (subject category)
kon (subject category)

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