Towards Improved Requirements Engineering with SysML and the User Requirements Notation

Amyot, Daniel; Anda, Amal Ahmed; Baslyman, Malak; Lessard, Lysanne; Bruel, Jean‐Michel

doi:10.1109/re.2016.58

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…GRL was initially created to support requirements engineering activities during development; however, it can also be used in a runtime adaptation context [33]. GRL supports a system's dynamic adaptation by connecting goals with requirements, feeding indicators from external sources of information, and providing comprehensive alternative strategies/tasks supporting trade-off analysis [20].…”

Section: P R E V I E Wmentioning

confidence: 99%

“…SysML modelers can connect requirements to other model elements such as use cases, test cases, and blocks using a few diagram types. Yet, SysML lacks important "social" modeling concepts for SCPSs such as goals and stakeholders' objectives [20]. Cross-disciplinary model fusion and flexible model integration are known to be challenging [21], but a multi-level modeling approach is still a promising avenue in contexts such as Systems of Systems and adaptive SCPS [1,22,23].…”

Section: Introductionmentioning

confidence: 99%

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Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

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Background: Socio-cyber-physical systems (SCPSs) are a type of cyber-physical systems with social concerns. Many SCPSs, such as smart homes, must be able to adapt to reach an optimal symbiosis with users and their contexts. The Systems Modeling Language (SysML) is frequently used to specify ordinary CPSs, whereas goal modeling is a requirements engineering approach used to describe and reason about social concerns. Objective: This paper aims to assess existing modeling techniques that support adaptation in SCPSs, and in particular those that integrate SysML with goal modeling. Method: A systematic literature review presents the main contributions of 52 English articles selected from five databases that use both SysML and goal models (17 techniques), SysML models only (11 techniques), or goal models only (8 techniques) for analysis and self-adaptation. Result: Existing techniques have provided increasingly better modeling support for adaptation in a SCPS context, but overall analysis support remains weak. The techniques that combine SysML and goal modeling offer interesting benefits by tracing goals to SysML (requirements) diagrams and influencing the generation of predefined adaptation strategies for expected contexts, but few target adaptation explicitly and most still suffer from a partial coverage of important goal modeling concepts and of traceability management issues.

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Section: P R E V I E Wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

Self Cite

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“…The improvement of the GORE method includes improvement in the modeling language, improvement approach or model on GORE, improvement on function or method to enhanced GORE's capability, and improve the GORE method to enhance the quality of RE modeling. The improvement of modeling language includes developing i* language and notation [9] [10], User Requirements Notation (URN) [11], Goal-oriented Requirements Language (GRL) [12], GORE modeling development uses Systems Modeling Language (SysML) [13], and Unified Modeling Language (UML) [14]. The improvement of approach or model on GORE includes Goal Model for Dynamic Systems (GmoDS) [15], Goal-Oriented Requirements Engineering framework for Systems of Systems (SoSGORE) [16], Agent Goal Model [17], Goal Dependency Model with Objects (GDMO) [18], trust-aware goal modeling [19], and realistic goal models [20].…”

Section: B Rq2: What Kind Of Contribution Given Through the Gore Research Done?mentioning

confidence: 99%

Goal-Oriented Requirements Engineering: State of the Art and Research Trend

2021

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The Goal-Oriented Requirements Engineering (GORE) is one approach that is widely used for the early stages of software development. This method continues to develop in the last three decades. In this paper, a literature study is conducted to determine the GORE state of the art. The study begins with a Systematic Literature Review (SLR) was conducted to determine the research trend in the last five years. This study reviewed 126 papers published from 2016 to 2020. The research continues with the author's search for scientific articles about GORE. There are 26 authors who actively publish GORE research results. Twenty-six authors were grouped into seven groups based on their relation or co-authoring scientific articles. An in-depth study of each group resulted in a holistic mapping of GORE research. Based on the analysis, it is known that most research focuses on improving GORE for an automated and reliable RE process, developing new models/frameworks/methods originating from GORE, and implementing GORE for the RE process. This paper contributes to a holistic mapping of the GORE approach. Through this study, it is known the various studies that are being carried out and research opportunities to increase automation in the entire RE process.

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“…Die Grundlage zur Umsetzung eines modellbasierten Ansatzes für das Anforderungsmanagement auf einer höheren Metaebene. Des Weiteren sind die Arbeiten[16],[17] und[18] ebenfalls auszuklammern, da sie die modellbasierte Umsetzung eines zieleorientierten Anforderungsmanagements erörtern. Das zieleorientiere Anforderungsmanagement GORE (goal-oriented Requirements engineering) ermöglicht die Modellierung soziotechnischer Aspekte und nicht funktionaler Anforderungen.…”

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