SEApr 3, 2017

A Thematic Study of Requirements Modeling and Analysis for Self-Adaptive Systems

arXiv:1704.00420v12 citations
Originality Synthesis-oriented
AI Analysis

It addresses the need for a systematic categorization of research in requirements engineering for self-adaptive systems, which is incremental as it synthesizes existing work.

The paper conducted a thematic study to categorize and summarize research themes in requirements modeling and analysis for self-adaptive systems, providing an updated literature review to help researchers and practitioners understand the field and identify gaps.

Over the last decade, researchers and engineers have developed a vast body of methodologies and technologies in requirements engineering for self-adaptive systems. Although existing studies have explored various aspects of this topic, few of them have categorized and summarized these areas of research in require-ments modeling and analysis. This study aims to investigate the research themes based on the utilized modeling methods and RE activities. We conduct a thematic study in the systematic literature review. The results are derived by synthesizing the extracted data with statistical methods. This paper provides an updated review of the research literature, enabling researchers and practitioners to better understand the research themes in these areas and identify research gaps which need to be further studied.

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