Abstract
Selection of suitable techniques to be used in requirements engineering or business analysis activities is not easy, especially considering the large number of new proposals that emerged in recent years. This paper provides a summary of techniques recommended by major sources recognized by the industry. A universal attribute structure for the description of techniques is proposed and used to describe 33 techniques most frequently quoted by reviewed sources. A pilot study of automated classification of techniques based on attribute values is also reported. The study used fuzzy c-means clustering algorithm and produced pairings of complementary techniques, most of which successfully passed validation conducted by business analysis practitioners.
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- Publication version
- Accepted or Published Version
- License
- Copyright (2019 Springer Nature Switzerland AG)
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Handbuch Methoden der Politikwissenschaft strony 200 - 212
- Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Jarzębowicz A., SZTRAMSKI K.: Identification, Assessment and Automated Classification of Requirements Engineering Techniques// Software Engineering Methods in Intelligent Algorithms.Vol. 1/ : , 2019, s.200-212
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-19807-7_20
- Verified by:
- Gdańsk University of Technology
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