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Goal-oriented requirements engineering: an extended systematic mapping study

Journal article
Authors Jennifer Horkoff
Fatma Başak Aydemir
Evellin Cardoso
Tong Li
Alejandro Maté
Elda Paja
Mattia Salnitri
Luca Piras
John Mylopoulos
Paolo Giorgini
Published in Requirements Engineering
Volume 24
Issue 2
Pages 133-160
ISSN 0947-3602
Publication year 2019
Published at Department of Computer Science and Engineering, Computer Engineering (GU)
Pages 133-160
Language en
Links https://link.springer.com/article/1...
Keywords Goal model, Goal-oriented requirements engineering, GORE, Systematic mapping study
Subject categories Computer Systems, Software Engineering

Abstract

© 2017 The Author(s) Over the last two decades, much attention has been paid to the area of goal-oriented requirements engineering (GORE), where goals are used as a useful conceptualization to elicit, model, and analyze requirements, capturing alternatives and conflicts. Goal modeling has been adapted and applied to many sub-topics within requirements engineering (RE) and beyond, such as agent orientation, aspect orientation, business intelligence, model-driven development, and security. Despite extensive efforts in this field, the RE community lacks a recent, general systematic literature review of the area. In this work, we present a systematic mapping study, covering the 246 top-cited GORE-related conference and journal papers, according to Scopus. Our literature map addresses several research questions: we classify the types of papers (e.g., proposals, formalizations, meta-studies), look at the presence of evaluation, the topics covered (e.g., security, agents, scenarios), frameworks used, venues, citations, author networks, and overall publication numbers. For most questions, we evaluate trends over time. Our findings show a proliferation of papers with new ideas and few citations, with a small number of authors and papers dominating citations; however, there is a slight rise in papers which build upon past work (implementations, integrations, and extensions). We see a rise in papers concerning adaptation/variability/evolution and a slight rise in case studies. Overall, interest in GORE has increased. We use our analysis results to make recommendations concerning future GORE research and make our data publicly available.

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