User Requirements Notation: The First Ten Years, The Next Ten Years (Invited Paper)

Amyot, Daniel; Mussbacher, Gunter

doi:10.4304/jsw.6.5.747-768

Cited by 115 publications

(55 citation statements)

References 102 publications

(134 reference statements)

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“…In [1], Amyot and Mussbacher perform a SLR of publications, finding 281 publications using the user requirements notation [containing the Goal-oriented Requirement Language (GRL)]. The focus of our current survey is broader and more shallow, looking at all GORE notations, including GRL, and not getting into extensive details.…”

Section: Related Workmentioning

confidence: 99%

“…In a recent RE meta-survey, Bano et al have pointed out that there has yet to be a systematic literature review of GORE publications [3]. Although a few GORE reviews exist, e.g., [1,18], they are focused on sub-topics or frameworks within GORE, and not the area in its entirety. Based in part on these past surveys and on the experiences of the authors, it is apparent that there is a large body of GORE-related publications available.…”

Section: Introductionmentioning

confidence: 99%

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Goal-oriented requirements engineering: an extended systematic mapping study

et al. 2017

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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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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Goal-oriented requirements engineering: an extended systematic mapping study

et al. 2017

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“…Apart of the popular goal-oriented approaches such as KAOS [21], i* [22] that are specification oriented, or URN [23] that has been recently standardized, more domain specific modeling languages have been proposed. Some are based on UML/SysML profiling.…”

Section: Related Workmentioning

confidence: 99%

INCREMENT: A Mixed MDE-IR Approach for Regulatory Requirements Modeling and Analysis

Sannier

Baudry

2014

Requirements Engineering: Foundation for Software Quality

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“…The Goal-oriented Requirement Language (GRL) is one of the two parts of the User Requirements Notation [1], which is published as a standard by the International Telecommunication Union in the Z.15x series [11]. It is a goal modeling standard based on i* [16] and the NFR Framework [4].…”

Section: Goal-oriented Requirements Languagementioning

confidence: 99%

TimedGRL: Specifying Goal Models Over Time

Aprajita¹,

Mussbacher²

2016

2016 IEEE 24th International Requirements Engineering Conference Workshops (REW)

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This thesis introduces TimedGRL, an extension of the current GRL (Goal-oriented Requirement Language) standard, which enables the modeling and analysis of a comprehensive set of changes to a goal model over time. Goal-oriented analysis, in general, deals with finding a solution to the modeled problem, which tries to accomplish desired system qualities while taking care of stakeholder needs simultaneously. It can be used to influence design decisions as it allows performing trade-off analysis among alternative solutions by determining which proposed solution strikes a more appropriate balance of stakeholder objectives and desired qualities of a system. Some common goal-oriented languages such as i*, GRL, the NFR Framework, and KAOS offer standard language definitions to support varying forms of such analysis. However, in most of these cases, the analysis is focused on only one snapshot in time. To capture evolving systems, several goal models need to be created that represent different stages of that system. The current language definitions do not allow these models to be connected and make it difficult to analyze them simultaneously. Moreover, it requires extra effort to maintain and consistently update these models that actually represent the same system and have many repeated elements.TimedGRL proposes capturing the goal model and the changes to the goal model in a single model to facilitate system evolution. The metamodel for TimedGRL is presented, and an analysis algorithm for TimedGRL models is defined and implemented in jUCMNav, the most comprehensive GRL modeling tool to date. A hypothetical but realistic example from the sustainability domain is used to illustrate the introduced concepts. Moreover, a detailed case study has been performed to show TimedGRL's functionality and usefulness.iii

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User Requirements Notation: The First Ten Years, The Next Ten Years (Invited Paper)

Cited by 115 publications

References 102 publications

Goal-oriented requirements engineering: an extended systematic mapping study

Goal-oriented requirements engineering: an extended systematic mapping study

INCREMENT: A Mixed MDE-IR Approach for Regulatory Requirements Modeling and Analysis

TimedGRL: Specifying Goal Models Over Time

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