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Quality functions for requirements engineering methods
Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
1996 (Engelska)Licentiatavhandling, monografi (Övrigt vetenskapligt)
Abstract [en]

The objectives for this thesis is to establish what aspects of Requirements Engineering (RE) methods are considered important by the users. The thesis is to study an alternative RE method (Action Design), present evaluation results and establish general quality characteristics for RE methods. It is also an attempt to invoke the need to reflect over quality aspects of use and development of methods within the field of RE.The research is based on a grounded theory perspective where the studies together form the final results. The data collection was performed by interviews and focus groups. The analysis of data was done by using (1) Action Design (AD) methodology as an instrument to evaluate AD itself, (2) Quality Function Deployment to structure and rank quality characteristics, and (3) by phenomenological analyses.The results show the importance of considering social and organizational issues, user participation, project management and method customizing in the process of RE.Further, the results suggest that support which integrate different methods, or parts of methods to achieve a suitable collection of instruments tailored for a specific project is needed. It is also found that RE is to be considered, not only in the early parts of the software development cycle, but as an integrated part of the whole software development cycle.The conclusion is that RE methods beside the integration, need to be approached differently in the future. The integrated view of RE (as a part of the entire development process) could also be a way to solve some of the current problems that are discussed in relation to requirements in software development.

Ort, förlag, år, upplaga, sidor
Linköping: Univ. , 1996. , s. 27
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 557
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:liu:diva-163807Lokalt ID: LiU-TEK-LIC-1996:22ISBN: 9178717302 (tryckt)OAI: oai:DiVA.org:liu-163807DiVA, id: diva2:1394965
Tillgänglig från: 2020-02-20 Skapad: 2020-02-20 Senast uppdaterad: 2020-02-20Bibliografiskt granskad

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Johansson, Mikael
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Institutionen för datavetenskapTekniska högskolan
Data- och informationsvetenskap

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