Deriving use cases from organizational modeling

Santander, Victor Francisco Araya; Castro, Jaelson

doi:10.1109/icre.2002.1048503

Cited by 58 publications

(82 citation statements)

References 8 publications

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“…Santander & Castro (2002) present guidelines for automatically deriving use case models from i* system models, and Liu & Yu (2001) integrate goal modelling with the GRL with use case maps to refine scenarios into architectural designs with goal-based rationale. Our work in RESCUE is similar to the latter work but exploits i* models to scope use case models, specify use cases and inform scenario walkthroughs rather than derive architectures per se.…”

Section: Related Workmentioning

confidence: 99%

Model-Driven Requirements Engineering: Synchronising Models in an Air Traffic Management Case Study

Maiden

Jones

Manning

et al. 2004

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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. Modeldriven requirements engineering: Synchronising models in an air traffic management case study. Lecture Notes in Computer Science: Advanced Information Systems Engineering, 3084, pp. 368-383. doi: 10.1007/978-3-540-25975-6_27 This is the unspecified version of the paper.This version of the publication may differ from the final published version. This paper describes the application of RESCUE, a process that integrates 4 modelling techniques to model and analyse stakeholder requirements for DMAN, a system for scheduling and managing the departure of aircraft from major European airports. It describes how human activity, use case and i * modelling were applied and integrated using synchronisation checks t o model requirements on DMAN. Synchronisation checks applied at predefined stages in RESCUE revealed omissions and potential inconsistencies in the models and stakeholder requirements that, in turn, led to improvements to the models and resulting specification. The paper ends with implications for requirements model integration, and describes future work to extend and apply RESCUE. Permanent

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Section: Related Workmentioning

confidence: 99%

Model-Driven Requirements Engineering: Synchronising Models in an Air Traffic Management Case Study

Maiden

Jones

Manning

et al. 2004

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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“…Trade-off analysis is needed in order to select the most suitable solution. Finally, in the fifth phase, PRiM proposes the generation of the new Information System specification from the i* model of the chosen alternative which follows the work proposed by [29]. The PRiM method is based on an exhaustive state-of-the-art on business process reengineering methods [12] complemented with well established requirements engineering techniques such as KAOS [8].…”

Section: Prim: a Process Reengineering I* Methodsmentioning

confidence: 99%

ReeF: Defining a Customizable Reengineering Framework

Grau

Franch

2007

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. During their life span, organizations must adapt continuously to an always evolving context and so have to do their Information Systems and the processes around them. The scope of these changes ranges from small-scale maintenance modifications or the redefinition of some business processes to the full deployment of a new system. In all cases, the resulting Information System will seldom be built from the scratch; as even when deploying it for the first time, we may consider that it starts from the description of the current human processes. For that reason, we may consider Information System development and its evolution as a reengineering process. In this paper, we present a framework that defines the generic activity of reengineering using Method Engineering techniques. The framework is built upon existing reengineering methods from different disciplines and provides six generic phases that can be instantiated with the purpose of defining new reengineering methods.

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“…To tackle this issue and in the light of the goal models developed in the previous phase, software engineers should derive use-cases to capture the interactions of each persona with the software. This can be achieved following approaches discussed in [33,32] which advocate that combining goal models with use-cases is indeed a powerful way towards a better requirement engineering process which minimize the risk of overlooking some of users' requirements when the design phase starts.…”

Section: Third Phase: Goal Model To Use-casesmentioning

confidence: 99%

Adaptive software-based Feedback Acquisition: A Persona-based design

Almaliki

Ncube

Ali

2015

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)

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Abstract-Users' feedback is vital to improve software quality and it provides developers with a rich knowledge on how software meets users' requirements in practice. Feedback informs how software should adapt, or be adapted, at runtime and what evolutionary actions to take in the next release. However, studies have noted that accommodating the different preferences of users on how feedback should be requested is a complex task and requires a careful engineering process. This calls for an adaptive feedback acquisition mechanisms to cater for such variability. In this paper, we tackle this problem by employing the concept of Persona to aid software engineers understand the various users' behaviours and improve their ability to design feedback acquisition techniques more efficiently. We create a set of personas based on a mixture of qualitative and quantitative studies and propose PAFA, a Persona-based method for Adaptive Feedback Acquisition.

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Deriving use cases from organizational modeling

Cited by 58 publications

References 8 publications

Model-Driven Requirements Engineering: Synchronising Models in an Air Traffic Management Case Study

Model-Driven Requirements Engineering: Synchronising Models in an Air Traffic Management Case Study

ReeF: Defining a Customizable Reengineering Framework

Adaptive software-based Feedback Acquisition: A Persona-based design

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