Gacitua, Ricardo and Sawyer, Peter and Gervasi, Vincenzo (2011) Relevance-based abstraction identification: technique and evaluation. Requirements Engineering, 16 (3). pp. 251-265. ISSN 0947-3602Full text not available from this repository.
When first approaching an unfamiliar domain or requirements document, it is often useful to get a quick grasp of what the essential concepts and entities in the domain are. This process is called abstraction identification, where the word abstraction refers to an entity or concept that has a particular significance in the domain. Abstraction identification has been proposed and evaluated as a useful technique in requirements engineering (RE). In this paper, we propose a new technique for automated abstraction identification called relevance-based abstraction identification (RAI), and evaluate its performance—in multiple configurations and through two refinements—compared to other tools and techniques proposed in the literature, where we find that RAI significantly outperforms previous techniques. We present an experiment measuring the effectiveness of RAI compared to human judgement, and discuss how RAI could be used to good effect in requirements engineering.
|Journal or Publication Title:||Requirements Engineering|
|Uncontrolled Keywords:||Abstractions ; Natural language ; Requirements elicitation ; Evaluation of tool|
|Subjects:||?? qa75 ??|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||17 Aug 2012 13:31|
|Last Modified:||23 Mar 2017 12:36|
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