i* in Practice: Identifying Frequent Problems in its Application - - PowerPoint PPT Presentation

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i* in Practice: Identifying Frequent Problems in its Application - - PowerPoint PPT Presentation

Nov 27, 2023 428 likes •685 views

i* in Practice: Identifying Frequent Problems in its Application The Authors Karina Abad Wilson Prez Juan Pablo Carvallo Xavier Franch Agenda Background Research questions The Study The analysis Results

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i* in Practice: Identifying Frequent Problems in its Application

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The Authors

Karina Abad Juan Pablo Carvallo Wilson Pérez Xavier Franch

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Agenda

  • Background
  • Research questions
  • The Study
  • The analysis
  • Results
  • Guidelines to facilitate the i* language adoption
  • Threats to validity
  • Conclusions and Future Work
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The i* Framework

Organization

Customer Technology, products

  • r services acquired

Timely payment

D

Invoice

D D D D D D D

Technology, products

  • r services

Invoice purchased Quality of products or services

D D D D

Credit customer

I S A

Deferred payment Credit flexibility

D D D D

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The DHARMA Method

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Is the concept of i* actor, its types and the is-a (sub-typing) relation understood by the junior consultants who participated in the CM construction?

Research Questions

Is the concept of dependency, as well as the four types of dependency proposed in the i* language, understood by the junior consultants who participated in the CM construction?

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The Study

36 CM constructed by university students (junior consultants), applying DHARMA

Logístic a de Entrada Infraestructura de la empresa Administracion.de Recursos Humanos Desarrollo Tecnológico Adquisiciones Operacio- nes Logística de Salida Mercadeo y Ventas Servicio Logística Interna Logístic a de Entrada Infraestructura de la empresa Administracion.de Recursos Humanos Desarrollo Tecnológico Adquisiciones Operacio- nes Logística de Salida Mercadeo y Ventas Servicio Logística Interna Logístic a de Entrada Infraestructura de la empresa Administracion.de Recursos Humanos Desarrollo Tecnológico Adquisiciones Operacio- nes Logística de Salida Mercadeo y Ventas Servicio Logística Interna
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RESULTS

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1,111

Actors

18,36%

With errors between 10.87 and 32.00%

204 204

Errors

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Errors concerning actors

Name (41,18%) Type pe (58,82%)

Type: Public Supplier identified as Person instead of Organization. Name: Sales in Pharmacies -> Pharmacies

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839 839

is-a Relations

25,86% 217 217

Errors

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2,095

Dependencies

15,18% 318 318

Errors

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Errors concerning dependencies

Name (32,08%) Type pe (26,73%) Direc rectio tion (41,19%)

Type: Large purchase order as Goal instead of softgoal. Name: Teachers acquired -> Theaching services acquired Direction: Supplier -> Commercial contract made -> Sales Supplier <- Commercial contract made <- Sales

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Guidelines to facilitate the i* language adoption

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  • 1. Identify actors from generic catalogues
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  • 1. Identify actors from generic catalogues

2.Specialize actors based on categorization labels

ISA

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  • 1. Identify actors from generic catalogues

2.Specialize actors based on categorization labels 3.Complete actor’s identification with proper instances

ISA

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  • 1. Identify actors from generic catalogues

2.Specialize actors based on categorization labels 3.Complete actor’s identification with proper instances 4.Populate the CM with generic dependencies

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  • 1. Identify actors from generic catalogues

2.Specialize actors based on categorization labels 3.Complete actor’s identification with proper instances 4.Populate the CM with generic dependencies 5.Refine dependencies in a pairwise way

Products acquired Medicine acquired

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Threats to validity

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Construct validity Internal validity External validity

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Conclusions and Future Work

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▷ To determine the level of understanding of i* constructs and identify common errors when using the notation. ▷ RQ1 and RQ2: Concepts of actor and dependency are understood, but a deeper explanation is needed. ▷ We believe that our results show that i* can be successfully adopted by practitioners in the modeling activities. ▷ We aim at linking the dependencies with the areas in the value chain to better distribute the responsibilities of the system. ▷ To complete the ongoing study regarding to the guidelines provided in this work. ▷ To conduct a similar study focused on i* SR models, analyzing goal decomposition, means-end links, etc. ▷ Tool support for building i* models applying the guidelines presented

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Th Thanks!