Meta-Process Modeling
Encyclopedia
Meta-process modeling is a type of metamodeling
Metamodeling
Metamodeling, or meta-modeling in software engineering and systems engineering among other disciplines, is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems...

 used in software engineering
Software engineering
Software Engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software, and the study of these approaches; that is, the application of engineering to software...

 and systems engineering
Systems engineering
Systems engineering is an interdisciplinary field of engineering that focuses on how complex engineering projects should be designed and managed over the life cycle of the project. Issues such as logistics, the coordination of different teams, and automatic control of machinery become more...

 for the analysis and construction of models applicable and useful to some predefined problems.

Meta-process modeling supports the effort of creating flexible process models. The purpose of process models is to document and communicate processes and to enhance the reuse of processes. Thus, processes can be better taught and executed. Results of using meta-process models are an increased productivity of process engineers and an improved quality of the models they produce.

Overview

Meta-process modeling focuses on and supports the process of constructing process models. Its main concern is to improve process models and to make them evolve, which in turn, will support the development of systems. This is important due to the fact that “processes
Process (engineering)
In engineering a process is a set of interrelated tasks that, together, transform inputs into outputs. These tasks may be carried out by people, nature, or machines using resources; so an engineering process must be considered in the context of the agents carrying out the tasks, and the resource...

 change with time and so do the Process Models underlying them. Thus, new processes and models may have to be built and existing ones improved”. “The focus has been to increase the level of formality of process models in order to make possible their enactment in process-centred software environments”. referring to:

A process meta-model is a meta model
Metamodeling
Metamodeling, or meta-modeling in software engineering and systems engineering among other disciplines, is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems...

, “a description at the type level of a process model. A process model is, thus, an instantiation of a process meta-model. [..] A meta-model can be instantiated several times in order to define various process models. A process meta-model is at the meta-type level with respect to a process.”

There exist standards for several domains:
  • Software Engineering
    Software engineering
    Software Engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software, and the study of these approaches; that is, the application of engineering to software...

  • Software Process Engineering Metamodel (SPEM) which is defined as a Profile (UML)
    Profile (UML)
    A profile in the Unified Modeling Language provides a generic extension mechanism for customizing UML models for particular domains and platforms...

     by the Object Management Group
    Object Management Group
    Object Management Group is a consortium, originally aimed at setting standards for distributed object-oriented systems, and is now focused on modeling and model-based standards.- Overview :...

    .

Topics in metadata modeling

There are different techniques for constructing process models. “Construction techniques used in the Information Systems
Information systems
Information Systems is an academic/professional discipline bridging the business field and the well-defined computer science field that is evolving toward a new scientific area of study...

 area have developed independently of those in Software Engineering
Software engineering
Software Engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software, and the study of these approaches; that is, the application of engineering to software...

. In information systems, construction techniques exploit the notion of a meta-model and the two principal techniques used are those of instantiation and assembly. In software engineering the main construction technique used today is language-based. However, early techniques in both, information systems and software engineering were based on the experience of process engineers and were, therefore, ad-hoc in nature.”

Ad-hoc

“Traditional process models are expressions of the experiences of their developers. Since this experience is not formalised and is, consequently, not available as a fund of knowledge, it can be said that these process models are the result of an ad-hoc construction technique. This has two major consequences: it is not possible to know how these process models were generated, and they become dependent on the domain of experience. If process models are to be domain independent and if they are to be rapidly generable and modifiable, then we need to go away from experience based process model construction. Clearly, generation and modifiability relate to the process management policy adopted (see Usage World). Instantiation and assembly, by promoting modularization, facilitate the capitalisation of good practice and the improvement of given process models.”

Assembly

The assembly technique is based on the idea of a process repository from which process components can be selected. Rolland 1998 lists two selection strategies:
  1. Promoting a global analysis of the project on hand based on contingency criteria (Example Van Slooten 1996)
  2. Using the notion of descriptors as a means to describe process chunks. This eases the retrieval of components meeting the requirements of the user / matching with the situation at hand.

(Example Plihon 1995 in NATURE and repository of scenario based approaches accessible on Internet in the CREWS project )

For the assembly technique to be successful, it is necessary that process models are modular. If the assembly technique is combined with the instantiation technique then the meta-model must itself be modular.

Instantiation

For reusing processes a meta-process model identifies “the common, generic features of process models and represents them in a system of concepts. Such a representation has the potential to 'generate' all process models that share these features. This potential is realised when a generation technique is defined whose application results in the desired process model.”

Process models are then derived from the process meta-models through instantiation. Rolland associates a number of advantages with the instantiation approach:
  1. The exploitation of the meta-model helps to define a wide range of process models.
  2. It makes the activity of defining process models systematic and versatile.
  3. It forces to look for and introduce, in the process meta-model, generic solutions to problems and this makes the derived process models inherit the solution characteristics.


“The instantiation technique has been used, for example, in NATURE, Rolland 1993, Rolland 1994, and Rolland 1996. The process engineer must define the instances of contexts and relationships that comprise the process model of interest.”

Language

Rolland 1998 lists numerous languages for expressing process models used by the software engineering community:
  • E3
  • Various Prolog dialects for EPOS, Oikos, and PEACE
  • PS-Algol for PWI )

as well as further computational paradigms:
  • Petri nets in EPOS and SPADE
  • Rule based paradigm in MERLIN
  • ALF
  • Marvel
  • EPOS
  • Triggers in ADELE and MVP-L ).


Languages are typically related to process programs whereas instantiation techniques have been used to construct process scripts.

Tool support

The Meta-modeling process is often supported through software tools, called CAME
Came
A came is a divider bar used between small pieces of glass to make a larger glazing panel, sometimes referred to as leaded glass. This process is then referred to as "leading". Cames are mostly made of soft metals such as lead, zinc, copper or brass. They generally have an H-shaped cross section,...

 tools (Computer Aided Method Engineering) or Meta-CASE tools (Computer Assisted Software Engineering tools on a Meta-level).
Often the instantiation technique “has been utilised to build the repository of Computer Aided Method Engineering environments” (referring to ).

Example tools for meta-process modeling are:
  • Maestro II
  • MetaEdit+
    MetaEdit+
    - Research History :The research behind the genesis of MetaEdit+ was carried out at the , as part of the MetaPHOR project. A metamodeling and modeling tool, MetaEdit, had been created by the earlier SYTI project in the late 1980s and early 1990s, in co-operation with a company, MetaCase.Both...

  • Mentor

Example: “Multi-model view”

Colette Rolland
Colette Rolland
Colette Rolland is a French computer scientist and Professor of Computer Science in the department of Mathematics and Informatics at the University of Paris 1 Pantheon-Sorbonne, and a leading researcher in the area of information and knowledge systems, known for her work in meta-modeling.-...

 (1999) provides an example of a meta-process model which utilizes the instantiation and assembly technique. In the paper the approach is called “Multi-model view” and was applied on the CREWS-L’Ecritoire method. The CREWS-L’Ecritoire method represents a methodical approach for Requirements Engineering
Requirements engineering
Requirements engineering is a systems and software engineering process which covers all of the activities involved in discovering, documenting and maintaining a set of requirements for a computer-based system...

, “the part of the IS development that involves investigating problems and requirements of the users community and developing a specification of the future system, the so-called conceptual schema.”.

Besides the CREWS-L’Ecritoire approach, the multi-model view has served as a basis for representing : the three other requirements engineering approaches developed within the CREWS project, Real World Scenes approach, SAVRE approach for scenario exceptions discovery, and the scenario animation approach for integrating approaches one with the other and with the OOSE approach

Furthermore, the CREWS-L’Ecritoire utilizes Process Models and Meta-Process Models in order to achieve flexibility for the situation at hand. The approach is based on the notion of a labelled graph of intentions and strategies called a map as well as its associated guidelines. Together, map (process model) and the guidelines form the method.
The main source of this explanation is the elaboration of Colette Rolland
Colette Rolland
Colette Rolland is a French computer scientist and Professor of Computer Science in the department of Mathematics and Informatics at the University of Paris 1 Pantheon-Sorbonne, and a leading researcher in the area of information and knowledge systems, known for her work in meta-modeling.-...

 in.

Process model / Map

The map is “a navigational structure which supports the dynamic selection of the intention to be achieved next and the appropriate strategy to achieve it”; it is “a process model in which a nondeterministic ordering of intentions and strategies has been included. It is a labelled directed graph with intentions as nodes and strategies as edges between intentions. The directed nature of the graph shows which intentions can follow which one.”

The map of the CREWS-L’Ecritoire method looks as follow:

The map consists of goals / intentions (marked with ovals) which are connected by strategies (symbolized through arrows). An intention is a goal, an objective that the application engineer has in mind at a given point of time. A strategy is an approach, a manner to achieve an intention. The connection of two goals with a strategy is also called section.

A map “allows the application engineer to determine a path from Start intention to Stop intention. The map contains a finite number of paths, each of them prescribing a way to develop the product, i.e. each of them is a process model. Therefore the map is a multi-model. It embodies several process models, providing a multi-model view for modeling a class of processes. None of the finite set of models included in the map is recommended ‘a priori’. Instead the approach suggests a dynamic construction of the actual path by navigating in the map. In this sense the approach is sensitive to the specific situations as they arise in the process. The next intention and strategy to achieve it are selected dynamically by the application engineer among the several possible ones offered by the map. Furthermore, the approach is meant to allow the dynamic adjunction of a path in the map, i.e. adding a new strategy or a new section in the actual course of the process. In such a case guidelines that make available all choices open to handle a given situation are of great convenience. The map is associated to such guidelines”.

Guidelines

A guideline “helps in the operationalisation of the selected intention”; it is “a set of indications on how to proceed to achieve an objective or perform an activity.” The description of the guidelines is based on the NATURE project’s contextual approach and its corresponding enactment mechanism.
Three types of guidelines can be distinguished:
  • Intention Selection Guidelines (ISG) identify the set of intentions that can be achieved in the next step and selects the corresponding set of either IAGs (only one choice for an intention) or SSGs (several possible intentions).
  • Strategy Selection Guidelines (SSG) guide the selection of a strategy, thereby leading to the selection of the corresponding IAG.
  • Intention Achievement Guidelines (IAG) aim at supporting the application engineer in the achievement of an intention according to a strategy, are concerned with the tactics to implement these strategies, might offer several tactics, and thus may contain alternative operational ways to fulfil the intention.


In our case, the following guidelines – which correspond with the map displayed above – need to be defined:

Intention Selection Guidelines (ISG)
  1. ISG-1 Progress from Elicit a goal
  2. ISG-2 Progress from Conceptualize a Scenario
  3. ISG-3 Progress from Write a scenario
  4. ISG-4 Progress from Start


Strategy Selection Guidelines (SSG)
  1. SSG-1 Progress to Elicit a goal
  2. SSG-2 Progress to Conceptualize a Scenario
  3. SSG-3 Progress to Write a scenario
  4. SSG-4 Progress to Elicit a goal
  5. SSG-5 Progress to Stop


Intention Achievement Guidelines (IAG)
  1. IAG-1 Elicit a goal with case-based strategy
  2. IAG-2 Elicit a goal with composition strategy
  3. IAG-3 Elicit a goal with alternative strategy
  4. IAG-4 Elicit a goal with refinement strategy
  5. IAG-5 Elicit a goal with linguistic strategy
  6. IAG-6 Elicit a goal with template-driven strategy
  7. IAG-7 Write a scenario with template-driven strategy
  8. IAG-8 Write a scenario in free prose
  9. IAG-9 Conceptualize a Scenario with computer support strategy
  10. IAG-10 Conceptualize a Scenario manually
  11. IAG-11 Stop with completeness strategy

The following graph displays the details for the Intention Achievement Guideline 8 (IAG-8).

Meta-process map

In the multi-model view as presented in the paper of C. Rolland, the meta-process (the instance of the meta-process model) is “a process for the generation of a path from the map and its instantaneous enactment for the application at hand.” While the meta-process model can be represented in many different ways, a map was chosen again as a means to do so. It is not to be mixed up with the map for the process model as presented above.

Colette Rolland
Colette Rolland
Colette Rolland is a French computer scientist and Professor of Computer Science in the department of Mathematics and Informatics at the University of Paris 1 Pantheon-Sorbonne, and a leading researcher in the area of information and knowledge systems, known for her work in meta-modeling.-...

 describes the meta-model as follow :
(Meta-intentions are in bold, meta-strategies in italic – in green in the map).

“The Start meta-intention starts the construction of a process by selecting a section in the method map which has map intention Start as source. The Choose Section meta-intention results in the selection of a method map section. The Enact Section meta-intention causes the execution of the method map section resulting from Choose Section. Finally, the Stop meta-intention stops the construction of the application process. This happens when the Enact Section meta-intention leads to the enactment of the method map section having Stop as the target.
As already explained in the previous sections, there are two ways in which a section of a method map can be selected, namely by selecting an intention or by selecting a strategy. Therefore, the meta-intention Choose Section has two meta-strategies associated with it, select intention and select strategy respectively. Once a method map section has been selected by Choose Section, the IAG to support its enactment must be retrieved; this is represented in [the graph] by associating the meta-strategy automated support with the meta-intention, Enact Section.”


Sample process

The sample process "Eliciting requirements of a Recycling Machine" is about a method for designing the requirements of recycling facilities. The recycling facilities are meant for customers of a supermarket. The adequate method is obtained though instantiation of the meta-process model on the process model.

The following table displays the stepwise trace of the process to elicit requirements for the recycling machine (from ):


























































































































Step Guideline Meta-process Process Product (Goal = Gxx)
1.1 SSG-4 Choose section with select strategy
SSG4 suggests two strategies. The template-driven strategy is chosen because it is the most appropriate way to become familiar with the goal formalisation proposed by the CREWS-L’Ecritoire method  
1.2 IAG-6 Enact section with automated support
IAG6 displays a goal statement template and explains the meaning of each parameter. The requirement Engineer (RE) chooses a loose statement having only a verb and a target G1: Provideverb (Recycling Facilities*) target *RF
2.1 ISG-1 Choose section with select intention
ISG1 provides RE with arguments to advise him on choosing one of the two possible intentions from 'Elicit a Goal', namely to 'Elicit a Goal or to 'Write a Scenario'. The former is selected so as to generate alternative design solutions  
2.2 IAG-1 Enact section with automated support
IAG1 uses the goal statement structure and parameter values supplied to generate alternative goals. This leads to 21 alternative goals to G1 which are ORed to G1. After discussion with stakeholders, G4 is selected G2: Provide bottle RF to our customers with a card-based machine; G3: Provide paper RF to our customers with a card-based machine; G4: Provide bottle and box RR to our customers with a card-based machine; . . . G22: Provide bottle RF to all customers with money return machine
3.1 SSG-3 Choose section with select strategy
SSG3 offers two strategies from which the template-driven strategy is chosen. This is because there is uncertainty about what a scenario should be. The templates lead to some certainty  
3.2 IAG-7 Enact section with automated support
IAG7 proposes a template to be filled in. The template corresponds to a service scenario and contains actions that express services expected from the system SC4: If the customer gets a card, he recycles objects
4.1 SSG-2 Choose section with select strategy
SSG2 offers two strategies to conceptualise a Scenario. Among the two strategies, manual and computer based, the former is chosen since the service scenario (SC4) is very simple and can be handled manually  
4.2 IAG-10 Enact section with automated support
IAG10 suggests two things: (1) to avoid anaphoric references such as he, she, etc. (2) to express atomic actions in an explicit ordering (3) to avoid ambiguities The scenario is rewritten accordingly SC4: 1. The customer gets a card; 2. The customer recycles boxes and bottles
5.1 SSG-1 Choose section with select strategy
The RE knows that he wants to analyse the scenario SC4 to discover a new goal. Thus, he knows the target intention ‘Elicit a Goal’ and SSG1 is displayed. SSG1 offers three strategies to discover new goals from scenario analysis. The refinement strategy, is chosen because there is a need to discover the functional requirements of recycling machine  
5.2 IAG-4 Enact section with automated support
IAG4 guides in transforming actions of the service scenario SC4 into goals which express functional requirements. Two goals are generated and related together to G4 with an AND relationship. G24 is selected for further processing G23: Get card from supermarket; G24: Recycle bottles and boxes from RM
6.1 SSG-3 Choose section with select strategy
The RE knows his target intention, namely ‘Write a Scenario’. Thus SSG3 is displayed to help the RE in selecting the right strategy. The free prose strategy is selected because the text is likely to be long and the free prose facilitates this  
6.2 IAG-8 Enact section with automated support
IAG8 provides style and contents guidelines adapted to the type of scenario at hand, namely system interaction scenario SC24-1: The customer inserts his card in the RM. The RM checks if the card is valid and then a prompt is given. The customer inputs the bottles and/or boxes in the RM. If the objects are not blocked, the RM ejects the card and prints a receipt
7.1 SSG-2 Choose section with select strategy
SSG2 is displayed. The automated support strategy is selected to take advantage of the powerful linguistic devices and obtain a scenario formulation which will be the basis for automated reasoning  
7.2 IAG-9 Enact section with automated support
IAG9 semi-automatically transforms the initial prose into a structured text whose semantics conform to the scenario model. The transformation includes disambiguation, completion and mapping onto the linguistic structures associated to the concepts of the scenario model. SC24-2 is the result of the transformation of SC24-1. (Underlined statements result of the transformation) SC24-2: 1.  The customer inserts the customer card in the RM, 2.  The RM checks if the card is valid, 3.  If the card is valid, 4.  A prompt is given to the customer, 5.  The customer inputs the bottles and the boxes in the RM, 6.  The RM checks if the bottles and the boxes are not blocked, 7.  If the bottles and the boxes are not blocked, 8.  The RM ejects the card to the customer, 9.  The RM prints a receipt to the customer
8.1 SSG-1 Choose section with select strategy
Of the three strategies proposed by SSG1, the alternative discovery strategy is chosen. This strategy suits the need to investigate variations and exceptions of the normal course of actions described in SC242  
8.2 IAG-3 Enact section with automated support
IAG3 proposes several tactics to discover alternative goals to G24. The one based on the analysis of conditions in the scenario is selected. This leads to discover G25 and G26 G25: Recycle box and bottles from RM with invalid card; G26: Recycle box and bottles with a deblocking phase

See also

  • Automatic programming
    Automatic programming
    In computer science, the term automatic programming identifies a type of computer programming in which some mechanism generates a computer program to allow human programmers to write the code at a higher abstraction level....

  • Class-Responsibility-Collaboration card
    Class-Responsibility-Collaboration card
    Class Responsibility Collaboration cards are a brainstorming tool used in the design of object-oriented software. They were proposed by Ward Cunningham and Kent Beck....

     (CRC)
  • Data mapping
    Data mapping
    Data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks including:...

  • Data transformation
    Data transformation
    In metadata and data warehouse, a data transformation converts data from a source data format into destination data.Data transformation can be divided into two steps:...

  • Domain Specific Language (DSL)
  • Domain-specific modeling
    Domain-Specific Modeling
    Domain-specific modeling is a software engineering methodology for designing and developing systems, such as computer software. It involves systematic use of a domain-specific language to represent the various facets of a system...

     (DSM)
  • Eclipse (software)
    Eclipse (software)
    Eclipse is a multi-language software development environment comprising an integrated development environment and an extensible plug-in system...

  • Generative programming (GP)
  • Glossary of Unified Modeling Language terms
    Glossary of Unified Modeling Language terms
    This glossary of Unified Modeling Language terms covers all versions of UML. Individual entries will point out any distinctions that exist between versions.-A:...

  • Intentional Programming
    Intentional Programming
    In computer programming, intentional programming is a collection of concepts which enable software source code to reflect the precise information, called intention, which programmers had in mind when conceiving their work...

     (IP)
  • KM3
    KM3
    KM3 or Kernel Meta Meta Model is a neutral language to write metamodels and to define Domain Specific Languages. KM3 has been defined at INRIA and is available under the Eclipse platform.- References :...

  • Language oriented programming (LOP)

  • List of UML tools
  • Metadata
    Metadata
    The term metadata is an ambiguous term which is used for two fundamentally different concepts . Although the expression "data about data" is often used, it does not apply to both in the same way. Structural metadata, the design and specification of data structures, cannot be about data, because at...

  • Meta-model
  • Meta-modeling technique
  • Meta-modeling
  • Meta-Object Facility
    Meta-Object Facility
    The Meta-Object Facility is an Object Management Group standard for model-driven engineering. The official reference page may be found at OMG's website.- Overview :...

  • Method engineering
    Method engineering
    Method engineering in the "field of information systems is the discipline to construct new methods from existing methods". It focuses on "the design, construction and evaluation of methods, techniques and support tools for information systems development"....

  • Model Driven Engineering (MDE)
  • Model Transformation Language
    Model Transformation Language
    A model transformation language in systems and software engineering is a language for model transformation.- Overview :The notion of model transformation is of central importance to information technology. A software system may be seen as a set of information transformations...

     (MTL)
  • Model-based testing
    Model-based testing
    Model-based testing is the application of Model based design for designing and optionally executing the necessary artifacts to perform software testing. Models can be used to represent the desired behavior of the System Under Test , or to represent the desired testing strategies and testing...

     (MBT)
  • Model-driven architecture
    Model-driven architecture
    Model-driven architecture is a software design approach for the development of software systems. It provides a set of guidelines for the structuring of specifications, which are expressed as models. Model-driven architecture is a kind of domain engineering, and supports model-driven engineering of...

      (MDA)
  • Modeling language
    Modeling language
    A modeling language is any artificial language that can be used to express information or knowledge or systems in a structure that is defined by a consistent set of rules...

  • Modeling perspectives
    Modeling perspectives
    A modeling perspective in information systems is a particular way to represent pre-selected aspects of a system. Any perspective has a different focus, conceptualization, dedication and visualization of what the model is representing....


  • Object Constraint Language
    Object Constraint Language
    The Object Constraint Language is a declarative language for describing rules that apply to Unified Modeling Language models developed at IBM and now part of the UML standard. Initially, OCL was only a formal specification language extension to UML. OCL may now be used with any Meta-Object...

     (OCL)
  • Object-oriented analysis and design
    Object-oriented analysis and design
    Object-oriented analysis and design is a software engineering approach that models a system as a group of interacting objects. Each object represents some entity of interest in the system being modeled, and is characterised by its class, its state , and its behavior...

     (OOAD)
  • MOF Queries/Views/Transformations
    QVT
    QVT is a standard set of languages for model transformation defined by the Object Management Group .- Overview :...

     (QVT)
  • Semantic spectrum
    Semantic spectrum
    The semantic spectrum is a series of increasingly precise or rather semantically expressive definitions for data elements in knowledge representations, especially for machine use.At the low end of the spectrum is a simple binding of a single word or phrase and its...

  • Semantic translation
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  • Software factory
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    In software engineering and enterprise software architecture, a software factory is an organizational structure that specializes in producing computer software applications or software components according to specific, externally-defined end-user requirements through an assembly process...

  • Transformation language
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    A transformation language is a computer language designed to transform some input text in a certain formal language into a modified output text that meets some specific goal....

     (TL)
  • UML tool
    UML tool
    A UML tool or UML modeling tool is a software application that supports some or all of the notation and semantics associated with the Unified Modeling Language , which is the industry standard general purpose modeling language for software engineering.UML tool is used broadly here to include...

  • Unified Modeling Language
    Unified Modeling Language
    Unified Modeling Language is a standardized general-purpose modeling language in the field of object-oriented software engineering. The standard is managed, and was created, by the Object Management Group...

  • Vocabulary-based transformation
    Vocabulary-based transformation
    In metadata, a vocabulary-based transformation is a transformation aided by the use of a semantic equivalence statements within a controlled vocabulary.Many organizations today require communication between one or more computers...

  • XMI
  • XML transformation language
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    (XTL)
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