SlideShare una empresa de Scribd logo
1 de 22
How to Keep Domain Requirements Models Reasonably Sized Hans W. Nissen , Dominik Schmitz,  Matthias Jarke, Thomas Rose (Fraunhofer FIT)  ZAMOMO project context “Integration of model-based software and model-based control systems engineering“
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Motivation: Requirements Engineering in  Control System Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Domain Model-Based RE for Controllers with  i* MaRK‘09, Atlanta  slide  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Extending the Domain Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Step 1: Identification of Project-Specific Extensions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide  Extension 1+2 Extension 1+2
Step 2: Computing a Similarity Measure ,[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide  Extension of Engineer  B Extension of Engineer  A Engineer Anchor Objects Refinement Path A A1: controller {controller, control cycle} A2: controlled system {controlled system , control cycle} B B1: controller {controller , control cycle} B2: injection {injection, controlled system , control cycle}
Step 2: Computing a Similarity Measure ,[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide  Anchor Objects Refinement Path A1: controller {controller, control cycle} A2: controlled  system {controlled system, control cycle} B1: controller {controller, control cycle} B2: injection {injection, controlled system, control cycle}
Step 2: Computing a Similarity Measure ,[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide  Anchor Objects Refinement Path A1: controller {controller, control cycle} A2: controlled  system {controlled system, control cycle} B1: controller {controller, control cycle} B2: injection {injection, controlled system, control cycle}
Steps 3, 4 and 5 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Reducing the Domain Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Conclusions and Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Appendix
Telos and ConceptBase ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Automatic Numbering of Projects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Identification of last X Projects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Identify unused Concepts in Previous Projects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Identify unused Concept in one Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Computing refinement between anchor objects: Definition of computed attribute  super ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Computing refinement between anchor objects: computation of transitive closure of  super ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Similarity Measure ,[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide
Similarity Measure ,[object Object],[object Object],[object Object],MaRK‘09, Atlanta  slide

Más contenido relacionado

La actualidad más candente (7)

Network Diagram
Network DiagramNetwork Diagram
Network Diagram
 
Adam_Mcconnell_SPR11_v3
Adam_Mcconnell_SPR11_v3Adam_Mcconnell_SPR11_v3
Adam_Mcconnell_SPR11_v3
 
Progress in Projects
Progress in ProjectsProgress in Projects
Progress in Projects
 
RapidRma
RapidRmaRapidRma
RapidRma
 
Louise Anderson - INCOSE CubeSat Challenge Team (SSWG): Developing a Model Ba...
Louise Anderson - INCOSE CubeSat Challenge Team (SSWG): Developing a Model Ba...Louise Anderson - INCOSE CubeSat Challenge Team (SSWG): Developing a Model Ba...
Louise Anderson - INCOSE CubeSat Challenge Team (SSWG): Developing a Model Ba...
 
05 critical path analysis
05 critical path analysis05 critical path analysis
05 critical path analysis
 
Scheduling
SchedulingScheduling
Scheduling
 

Similar a 03 How to Keep Domain Requirements Models Reasonably Sized

Similar a 03 How to Keep Domain Requirements Models Reasonably Sized (20)

Crafted Design - Sandro Mancuso
Crafted Design - Sandro MancusoCrafted Design - Sandro Mancuso
Crafted Design - Sandro Mancuso
 
Crafted Design - GeeCON 2014
Crafted Design - GeeCON 2014Crafted Design - GeeCON 2014
Crafted Design - GeeCON 2014
 
Crafted Design - ITAKE 2014
Crafted Design - ITAKE 2014Crafted Design - ITAKE 2014
Crafted Design - ITAKE 2014
 
Agile & Iconix sdlc
Agile & Iconix sdlcAgile & Iconix sdlc
Agile & Iconix sdlc
 
Crafted Design - LJC World Tour Mash Up 2014
Crafted Design - LJC World Tour Mash Up 2014Crafted Design - LJC World Tour Mash Up 2014
Crafted Design - LJC World Tour Mash Up 2014
 
Testware Hierarchy for Test Automation
Testware Hierarchy for Test AutomationTestware Hierarchy for Test Automation
Testware Hierarchy for Test Automation
 
Deep learning and streaming in Apache Spark 2.2 by Matei Zaharia
Deep learning and streaming in Apache Spark 2.2 by Matei ZahariaDeep learning and streaming in Apache Spark 2.2 by Matei Zaharia
Deep learning and streaming in Apache Spark 2.2 by Matei Zaharia
 
Modeling and Testing Dovetail in MagicDraw
Modeling and Testing Dovetail in MagicDrawModeling and Testing Dovetail in MagicDraw
Modeling and Testing Dovetail in MagicDraw
 
Analytics Metrics delivery and ML Feature visualization: Evolution of Data Pl...
Analytics Metrics delivery and ML Feature visualization: Evolution of Data Pl...Analytics Metrics delivery and ML Feature visualization: Evolution of Data Pl...
Analytics Metrics delivery and ML Feature visualization: Evolution of Data Pl...
 
SQL Performance Tuning and New Features in Oracle 19c
SQL Performance Tuning and New Features in Oracle 19cSQL Performance Tuning and New Features in Oracle 19c
SQL Performance Tuning and New Features in Oracle 19c
 
Managing Millions of Tests Using Databricks
Managing Millions of Tests Using DatabricksManaging Millions of Tests Using Databricks
Managing Millions of Tests Using Databricks
 
Practical catalyst
Practical catalystPractical catalyst
Practical catalyst
 
Debugging Planning Issues Using Calcite's Built-in Loggers
Debugging Planning Issues Using Calcite's Built-in LoggersDebugging Planning Issues Using Calcite's Built-in Loggers
Debugging Planning Issues Using Calcite's Built-in Loggers
 
SQL Server Query Optimization, Execution and Debugging Query Performance
SQL Server Query Optimization, Execution and Debugging Query PerformanceSQL Server Query Optimization, Execution and Debugging Query Performance
SQL Server Query Optimization, Execution and Debugging Query Performance
 
Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...
Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...
Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...
 
Skills Portfolio
Skills PortfolioSkills Portfolio
Skills Portfolio
 
Sedna XML Database: Query Parser & Optimizing Rewriter
Sedna XML Database: Query Parser & Optimizing RewriterSedna XML Database: Query Parser & Optimizing Rewriter
Sedna XML Database: Query Parser & Optimizing Rewriter
 
PyData Berlin 2023 - Mythical ML Pipeline.pdf
PyData Berlin 2023 - Mythical ML Pipeline.pdfPyData Berlin 2023 - Mythical ML Pipeline.pdf
PyData Berlin 2023 - Mythical ML Pipeline.pdf
 
Dependable Systems - Structure-Based Dependabiilty Modeling (6/16)
Dependable Systems - Structure-Based Dependabiilty Modeling (6/16)Dependable Systems - Structure-Based Dependabiilty Modeling (6/16)
Dependable Systems - Structure-Based Dependabiilty Modeling (6/16)
 
Background And An Architecture Example
Background And An Architecture ExampleBackground And An Architecture Example
Background And An Architecture Example
 

Más de Walid Maalej

How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
Walid Maalej
 
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
Walid Maalej
 
2012 icse program comprehension
2012 icse program comprehension2012 icse program comprehension
2012 icse program comprehension
Walid Maalej
 
Invited Talk at TU Graz
Invited Talk at TU GrazInvited Talk at TU Graz
Invited Talk at TU Graz
Walid Maalej
 
Intention-Based Integration of Software Engineering Tools
Intention-Based Integration of Software Engineering ToolsIntention-Based Integration of Software Engineering Tools
Intention-Based Integration of Software Engineering Tools
Walid Maalej
 
05 Making Tacit Requirements Explicit
05 Making Tacit Requirements Explicit05 Making Tacit Requirements Explicit
05 Making Tacit Requirements Explicit
Walid Maalej
 
10 A Machine Learning Approach for Identifying Expert Stakeholders
10 A Machine Learning Approach for Identifying Expert Stakeholders10 A Machine Learning Approach for Identifying Expert Stakeholders
10 A Machine Learning Approach for Identifying Expert Stakeholders
Walid Maalej
 
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
Walid Maalej
 
08 Domain KnowledgeWiki for Requirements Elicitation
08 Domain KnowledgeWiki for Requirements Elicitation08 Domain KnowledgeWiki for Requirements Elicitation
08 Domain KnowledgeWiki for Requirements Elicitation
Walid Maalej
 
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
Walid Maalej
 
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
Walid Maalej
 
01 Using Defect Reports to Build Requirements Knowledge in Product Lines
01 Using Defect Reports to Build Requirements Knowledge in Product Lines01 Using Defect Reports to Build Requirements Knowledge in Product Lines
01 Using Defect Reports to Build Requirements Knowledge in Product Lines
Walid Maalej
 

Más de Walid Maalej (20)

How Can Software Engineering Support AI
How Can Software Engineering Support AIHow Can Software Engineering Support AI
How Can Software Engineering Support AI
 
How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Revi...
 
Business Rules In Practice - An Empirical Study (IEEE RE'14 Paper)
Business Rules In Practice - An Empirical Study (IEEE RE'14 Paper)Business Rules In Practice - An Empirical Study (IEEE RE'14 Paper)
Business Rules In Practice - An Empirical Study (IEEE RE'14 Paper)
 
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
Us and Them — A Study of Privacy Requirements Across North America, Asia, and...
 
Msr14 tutorial 4upload
Msr14 tutorial 4uploadMsr14 tutorial 4upload
Msr14 tutorial 4upload
 
Help! I need an empirical study for my PhD!
Help! I need an empirical study for my PhD!Help! I need an empirical study for my PhD!
Help! I need an empirical study for my PhD!
 
2012 icse program comprehension
2012 icse program comprehension2012 icse program comprehension
2012 icse program comprehension
 
On the Socialness of Software
On the Socialness of SoftwareOn the Socialness of Software
On the Socialness of Software
 
Context aware software engineering and maintenance: the FastFix approach
Context aware software engineering and maintenance: the FastFix approachContext aware software engineering and maintenance: the FastFix approach
Context aware software engineering and maintenance: the FastFix approach
 
Invited Talk at TU Graz
Invited Talk at TU GrazInvited Talk at TU Graz
Invited Talk at TU Graz
 
Intention-Based Integration of Software Engineering Tools
Intention-Based Integration of Software Engineering ToolsIntention-Based Integration of Software Engineering Tools
Intention-Based Integration of Software Engineering Tools
 
Assisting Engineers in Switching Artifacts by using Task Semantic and Interac...
Assisting Engineers in Switching Artifacts by using Task Semantic and Interac...Assisting Engineers in Switching Artifacts by using Task Semantic and Interac...
Assisting Engineers in Switching Artifacts by using Task Semantic and Interac...
 
Can Development Work Describe Itself?
Can Development Work Describe Itself?Can Development Work Describe Itself?
Can Development Work Describe Itself?
 
05 Making Tacit Requirements Explicit
05 Making Tacit Requirements Explicit05 Making Tacit Requirements Explicit
05 Making Tacit Requirements Explicit
 
10 A Machine Learning Approach for Identifying Expert Stakeholders
10 A Machine Learning Approach for Identifying Expert Stakeholders10 A Machine Learning Approach for Identifying Expert Stakeholders
10 A Machine Learning Approach for Identifying Expert Stakeholders
 
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
12 Leveraging Rule Deviations in IT Ecosystems for Implicit Requirements Elic...
 
08 Domain KnowledgeWiki for Requirements Elicitation
08 Domain KnowledgeWiki for Requirements Elicitation08 Domain KnowledgeWiki for Requirements Elicitation
08 Domain KnowledgeWiki for Requirements Elicitation
 
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
11 Towards a Research Agenda for Recommendation Systems in Requirements Engin...
 
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
13 Continuous and Collaborative Validation: A Field Study of Requirements Kno...
 
01 Using Defect Reports to Build Requirements Knowledge in Product Lines
01 Using Defect Reports to Build Requirements Knowledge in Product Lines01 Using Defect Reports to Build Requirements Knowledge in Product Lines
01 Using Defect Reports to Build Requirements Knowledge in Product Lines
 

Último

obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
yulianti213969
 
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
daisycvs
 
Challenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
Challenges and Opportunities: A Qualitative Study on Tax Compliance in PakistanChallenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
Challenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
vineshkumarsajnani12
 

Último (20)

KALYANI 💋 Call Girl 9827461493 Call Girls in Escort service book now
KALYANI 💋 Call Girl 9827461493 Call Girls in  Escort service book nowKALYANI 💋 Call Girl 9827461493 Call Girls in  Escort service book now
KALYANI 💋 Call Girl 9827461493 Call Girls in Escort service book now
 
Putting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptxPutting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptx
 
Berhampur 70918*19311 CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Berhampur 70918*19311 CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDINGBerhampur 70918*19311 CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Berhampur 70918*19311 CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
 
KOTA 💋 Call Girl 9827461493 Call Girls in Escort service book now
KOTA 💋 Call Girl 9827461493 Call Girls in  Escort service book nowKOTA 💋 Call Girl 9827461493 Call Girls in  Escort service book now
KOTA 💋 Call Girl 9827461493 Call Girls in Escort service book now
 
Falcon Invoice Discounting: The best investment platform in india for investors
Falcon Invoice Discounting: The best investment platform in india for investorsFalcon Invoice Discounting: The best investment platform in india for investors
Falcon Invoice Discounting: The best investment platform in india for investors
 
obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
obat aborsi bandung wa 081336238223 jual obat aborsi cytotec asli di bandung9...
 
Puri CALL GIRL ❤️8084732287❤️ CALL GIRLS IN ESCORT SERVICE WE ARW PROVIDING
Puri CALL GIRL ❤️8084732287❤️ CALL GIRLS IN ESCORT SERVICE WE ARW PROVIDINGPuri CALL GIRL ❤️8084732287❤️ CALL GIRLS IN ESCORT SERVICE WE ARW PROVIDING
Puri CALL GIRL ❤️8084732287❤️ CALL GIRLS IN ESCORT SERVICE WE ARW PROVIDING
 
Cuttack Call Girl Just Call 8084732287 Top Class Call Girl Service Available
Cuttack Call Girl Just Call 8084732287 Top Class Call Girl Service AvailableCuttack Call Girl Just Call 8084732287 Top Class Call Girl Service Available
Cuttack Call Girl Just Call 8084732287 Top Class Call Girl Service Available
 
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
 
Nashik Call Girl Just Call 7091819311 Top Class Call Girl Service Available
Nashik Call Girl Just Call 7091819311 Top Class Call Girl Service AvailableNashik Call Girl Just Call 7091819311 Top Class Call Girl Service Available
Nashik Call Girl Just Call 7091819311 Top Class Call Girl Service Available
 
Berhampur CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Berhampur CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDINGBerhampur CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Berhampur CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
 
Katrina Personal Brand Project and portfolio 1
Katrina Personal Brand Project and portfolio 1Katrina Personal Brand Project and portfolio 1
Katrina Personal Brand Project and portfolio 1
 
Challenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
Challenges and Opportunities: A Qualitative Study on Tax Compliance in PakistanChallenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
Challenges and Opportunities: A Qualitative Study on Tax Compliance in Pakistan
 
Falcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business GrowthFalcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business Growth
 
Phases of Negotiation .pptx
 Phases of Negotiation .pptx Phases of Negotiation .pptx
Phases of Negotiation .pptx
 
Chennai Call Gril 80022//12248 Only For Sex And High Profile Best Gril Sex Av...
Chennai Call Gril 80022//12248 Only For Sex And High Profile Best Gril Sex Av...Chennai Call Gril 80022//12248 Only For Sex And High Profile Best Gril Sex Av...
Chennai Call Gril 80022//12248 Only For Sex And High Profile Best Gril Sex Av...
 
Unveiling Falcon Invoice Discounting: Leading the Way as India's Premier Bill...
Unveiling Falcon Invoice Discounting: Leading the Way as India's Premier Bill...Unveiling Falcon Invoice Discounting: Leading the Way as India's Premier Bill...
Unveiling Falcon Invoice Discounting: Leading the Way as India's Premier Bill...
 
Paradip CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Paradip CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDINGParadip CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
Paradip CALL GIRL❤7091819311❤CALL GIRLS IN ESCORT SERVICE WE ARE PROVIDING
 
Falcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business PotentialFalcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business Potential
 
Bangalore Call Girl Just Call♥️ 8084732287 ♥️Top Class Call Girl Service Avai...
Bangalore Call Girl Just Call♥️ 8084732287 ♥️Top Class Call Girl Service Avai...Bangalore Call Girl Just Call♥️ 8084732287 ♥️Top Class Call Girl Service Avai...
Bangalore Call Girl Just Call♥️ 8084732287 ♥️Top Class Call Girl Service Avai...
 

03 How to Keep Domain Requirements Models Reasonably Sized

  • 1. How to Keep Domain Requirements Models Reasonably Sized Hans W. Nissen , Dominik Schmitz, Matthias Jarke, Thomas Rose (Fraunhofer FIT) ZAMOMO project context “Integration of model-based software and model-based control systems engineering“
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.

Notas del editor

  1. Functions: COUNT(C) – current number of instances of class C IPLUS(I,j) – computes i+j IMINUS(I,j) – computes i-j Modules – requirement models of projects separated into modules
  2. We need an ordering on the projects to identify the last $X$ projects (where a project is always stored separately in its own module). This can easily be achieved by extending the basic model slightly via a sequence number for each finalised project: The following Event-Condition-Action (ECA) rule automatically tells the correct sequence number as soon as a project is finalised:
  3. Having the sequence number of each project available, the following generic query class identifies the last size projects to be considered within the search for unused domain model objects: As mentioned before size is a free parameter that reflects the retrospective window size and that can be set to the current needs of a particular SME.
  4. Since the domain model is simply a normal, pre-filled module, we can easily identify all current concepts in the domain model by asking for the Tokens in the domain model module. By using the class Token here we will get only instances of classes and not the classes themselves as answers. To find unused concepts, we can simply refine the above query by checking the x most recent projects and return only those concepts that are not occurring in all these ConsideredProjects . It checks, whether one of the concepts of the domain model (available due to inheriting from AllConcepts query) is NOT available in all the projects (modules) to be considered. It uses another generic query class NotUsedIn that verifies whether a given concept is not available within a given module:
  5. It uses another generic query class exttt{NotUsedIn} that verifies whether a given concept is not available within a given module:
  6. Thus, for the first decision whether two anchor objects are related we must find out whether there is a ``path'' between them considering the above mentioned modelling means. A set of computed attributes and deductive rules has been defined to compute this information. The following Telos code introduces a new super attribute to any i* element and an accompanying deductive rule that determines the value of this new attribute according to the above mentioned relationships. If the element is an actor, we check for an outgoing is-part-of link. If existing, the target is the value of the super attribute. For a so called intentional element, a common meta class to group task, goal, resource, and softgoal elements, first it is checked whether there is an outgoing means ends link or an incoming decomposition link. If existing, the target (or source, respectively) is the searched value. If no such link exists, it is checked whether the element is inside an actor, i.,e. whether the parent attribute is set. If this is the case, the value is copied to super. These cases completely capture all possibly occurring situations.
  7. Having this derived attribute available, we can easily formulate a query that returns the transitive closure of this super relationship starting at (and including) the object src, i.e. all direct or indirect super elements of an object. Picking up on the advanced means of the Telos implementation ConceptBase, by which our approach is backed up, the following recursive generic query class is suitable: