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Communication Action as an Integrating Dynamic Relation of Enterprise Modelling

Communication Action as an Integrating

Dynamic Relation of Enterprise Modelling

Remigijus Gustas

Department of Information Technology

University of Karlstad

S-651 88 Karlstad, Sweden

Ph: +46-54 83 87 65

Fax: +46-54 83 84 46

E-mail: Remigijus.Gustas@hks.se

Abstract

The focus of this paper is on the modelling primitives which are not only taking into account semantic models

of traditional approaches for information system development, but also put a communication aspect into the

foreground of system analysis. Integration of static, dynamic and non-traditional communication dependencies

is considered as a most important feature of the suggested framework. In this paper is presented an integrated

set of the basic semantic modelling primitives that is adequate to analyse the static and dynamic aspects of

business processes. It is useful for the purpose of understanding and reasoning about information systems at

the enterprise modelling level.

1. Introduction

There is a growing interest to integrate information system development methodologies from different areas such as requirements engineering, method engineering, workflow management, business process modelling, object –oriented approach, etc. Many system analysts recognise that it is not enough to describe semantics of organisational system by concentrating distinctly on one of the methods. For instance, often system designers tend to start by focusing on the static concept dependencies or on behaviour [Yourdon 89] by concentrating either on activity triggering effects or on the control of flows. When re-engineering information systems such view tends to neglect communication aspects [Goldkuhl 95] among several actors of organisation. Dependencies of communication and co-operation between actors and their actions describe a very important part of knowledge about business processes. Unfortunately, communication approaches often neglect some behavioural aspects of system modelling that are basic in information system engineering.

In any information system being developed, the supporting system activity needs to be defined in a context of organisational processes. Therefore, two levels of information system models are necessary [Davis & Olson 85]. Organisational level model which specifies the ideal system structure is referred to as an enterprise model. This model defines the boundaries within which actions and decisions of individuals are to be made. Supporting (implementation) information system model determine information processing needs for a specific application. Conventional methodologies for information system development are heavily centred around the supporting system.

Enterprise modelling takes place in the early and middle phases of information system development cycle. The most difficult part of it is arriving at a complete and consistent description of a new system that sometimes is known as conceptual, semantic or requirements model. Despite of apparent clarity of the semantic models used

by various Object – Oriented methods and CASE tools, the research has shown that a large part of the maintenance costs can be attributed to improper conceptual modelling or to misconception of real requirements [Siau et al. 97].

Recent research in information system requirements engineering, the same as in business and knowledge modelling has indicated a growing attention to the so-called communicative action tradition [Winograd & Flores 86] which is concentrating on the interaction among actors of an information system. Dependencies of communication and co-operation describe a very important part of knowledge about organisational activities [Winter et al. 95]. These activities can be viewed as purposeful human actions that are supported by computerised information systems.

The way in which organisational activity is conceptualised will define what supporting information system is appropriate. Therefore, enterprise models can be used to define information processing needs. Since, activities in the organisational system are expressed in terms of actions of communication and collaboration, this kind of knowledge is crucial to reason about purposeful implications of organisational processes. Most of semantic models, that have been used in traditional static and behavioural modelling approaches for information system development, usually neglect essential communication dependencies of organisational processes.

Various graphical diagrams are used to define semantics of information systems. It is obvious that all notations have been designed to describe one or a few, but not all aspects of information systems. This means that enterprise models should comprise a combination of several notations, each for some particular aspect. This may lead to a difficult question: ‘how is it possible to use several notations in a complimentary way to develop clear models?’ [Riddle 96]. More importantly, it is often possible to employ a notation to describe some other aspects than those it has been designed to use for. A solution could be found in the development of the interaction principles for the basic semantic modelling primitives that are more adequate to analyse static and dynamic aspects of business processes. In this paper we will present and analyse the relationships among a set of abstractions that can be considered as a necessary basis to built an integrated enterprise model.

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A starting point in a business process re-engineering research, are initial requirement statements that express the wishes of stakeholders about new organisation of a system. These initial requirements are usually presented as a natural language text which is often ambiguous, incomplete and inconsistent. Although the system re-engineering processes can be driven by these pragmatic requirements, usually traditional models are not taking into account dependencies between activities and goals of stakeholders. Moreover interdependencies between goal models and process models are usually defined in a very fuzzy way. Some requirements engineering methodologies have already identified the problem of making system requirements precise, unambiguous, complete and consistent. The process of bridging goals to information system specifications was entitled 'from fuzzy to formal' [F3 Consortium 94].

Various business process diagrams exist because they express the needs and rationales of goals represented by various stakeholders. Therefore, goals may motivate completeness of process descriptions. Pragmatic specifications may explain the presence of some parts of process specifications, which are not necessarily comprehensible without appropriate understanding of goals [Dardenne et al. 93]. Goals lead to the integration of processes and can be used to understand responsibilities of actors and consequences of their actions. Dependencies between goals provide basic elements for detecting and resolving conflicts that arise from the different points of view.

Predominance of the fuzzy thinking in modelling of business activities and goals has led to serious lack of interaction between semantic and pragmatic descriptions of processes. More often, a process goal is merely postulated rather than expressed in terms of semantic diagrams. Such ignorance of a power of goals was recognised in the area of cognitive modelling [Castelfranchi 90]. A very useful framework to consider goal models as an important part of business process representations is presented in change analysis [Goldkuhl & Rostlinger 88].

Organisational processes consist of actions that change and control the situation. Usually desirable situations are formulated in terms of various goals of stakeholders. Considerably less attention in this area has been given to studies of pragmatic dependencies between actors and their actions that may be viewed as possibilities to avoid problematic situations by achieving new situations. The new situations depending on how the intended system would meet specified requirements can be interpreted either as opportunities or goals. Such pragmatic view to process modelling would enable the understanding of 'how' and 'why' [Sowa & Zachman 92] various communicative actions came about.

Enterprise goal modelling [F3 Consortium] is aiming to identify, to document and to analyse the business

in terms of the pragmatic level entities such as goals, problems, causes of problems and opportunities. The goal model addresses the 'why' perspective. It is motivating and driving processes of enterprise re-engineering. Goals are usually understood as states of affairs or situations [Barwise & Perry 83] that should be reached or at least striven for. Situations are resulting from the actions. It does not suffice to talk about the possible states surrounding a present state only, but why a certain path through the transition diagram is chosen must be accounted for. An important part of this is study of the ways in which different goals are related [Gustas et al. 96]. A meta-model of an interplay between pragmatic and semantic specifications is represented in Fig. 2.1.

Fig.2.1. An Interplay between Semantic Specifications and Pragmatic Categories Here: is the total multivalued dependency, is the total functional dependency, is a

In this approach, goals can be defined in terms desirable situations that are interpreted by an actor as final. Such pragmatic notions as objective, vision, goal, etc. express wishes and desires of actors concerning a system they design or control. Problems can be represented in terms of undesirable situations. Usually the problematic situations are defined in terms of restrictions that actors try to avoid. If a specification define the actual situation of a system under development then the expected specification is able to describe the desired changes that are represented by the development action.

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Typically semantic diagrams of an information system specify the dependencies of intended business processes in many different perspectives such as the "why", "what", "who", "where", "when" and "how" [Sowa & Zachman 92]. Various semantic constraints can be described by using intensional and extensional [Martin & Odell 95] dependencies of various kinds. The intensional dependencies define static and behavioural constraints on relationships between information system concepts. Concepts can be either classes or instances (sometimes, instances are referred to as objects or individuals) of classes. The extensional dependencies are constraining the membership of objects. The membership dependency between an object and a concept in object-oriented approach is entitled to as a classification link [Martin & Odell 95]. Semantics of static intensional dependencies can be defined as cardinalities. Cardinalities are represented by a minimum and maximum number of individuals of one concept that can be associated for each individual of another concept, and vice versa [Tsichritzis & Lochovsky 82]. Static dependencies of concepts [Gustas 97] stem from several kinds of semantic models applied in the area of information system analysis and design.

Behavioural constraints of concepts can be defined in terms of dynamic dependencies. Dynamic dependencies typically describe transitions between states and specify the "how" perspective. Actor dependencies represent activities using and producing flows for responsible actors involved. Flow dependencies between actors describe the "who" perspective. Many diagrams, that are used to specify dynamics of processes, concentrate either on the state transition or on the actor communication links.

Most behavioural diagrams in software engineering put into foreground a dynamic link, which is very similar to the understanding of a state transition in a finite state machine. Such transition link, constitute a modelling basis of several diagrams of object-oriented approaches in order to define dynamics of an information system. States are resulting from the actions [Falkenberg et al. 96]. Specification of actual and desired states is crucial to understand semantics of action. What is not included in the definition of a desired state is not part of the goal. Actual static constraints define set of conditions for the object in the current state. The expected state define a set of conditions for an object in the desired state [Gustas 95]. Any action is able to change a state, and visa versa, in order to change a state, the action is needed. Sometimes, a change can be referred to as an event. A real world process is usually not instantaneous, but modelling it as an event, indicates that we do not care about the internal structure [Rumbaugh et al. 91] of it. If we do care, then the event can be interpreted as an action. In this approach, an action is defined in terms of two states. If these states are connected by a transition dependency, then any object of the actual state the action can be transferred to the next state. Actions will be represented by ellipse. The graphical illustration of the transition dependency is presented in Fig. 3.1.

Fig.3.1. The transition dependency between actual and desired situations

The presented state transition dependency (ACTUAL STATE)

the actual state to anew state. Usually, a set of actions carries out a specific task.

Dependencies between actors involved in a particular action, describe the "who" perspective. Dependency links between two actors (agent and recipient) indicate that one actor depends on the other for some flow. The agent can be any actor (customer or performer) who is able to send a flow, for example, individual, group of people, job-role, position, organisation, machine, computer, information system, etc. Flow dependency links notation of the flow dependency between an agent and recipient (AGENT FLOW

represented in Fig.3.2.

F L O W

A G E N T R E C IP IE N T

Fig.3.2. Flow dependency

The flow dependency represents transfer of the ownership right for a particular object of FLOW. Before sending the flow, it is owned by an AGENT and later, dependent on whether the flow would be accepted or not, this ownership may be transferred to a RECIPIENT. The flows can be informational or material. Recipient by depending on agent is able to achieve his goals that he was not able to do without agent. At the same time, the recipient becomes vulnerable to the failure on agent. If agent fails to deliver the flow, a recipient would be unfavourably affected in a capability to achieve his goal. Some details about pragmatic (goal) dependencies [Gustas 95], [Gustas 96], [Gustas 97] can be found in the chapters 6 and 7.

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Any flow dependency may imply a communicative action. It is then considered to be an action and a communication flow. It should be noted that many approaches in the area of business process re-engineering do not view actions in these two different perspectives [Goldkuhl 95]. Composition of such action and flow in the process modelling activity result into a more complex abstraction. In such a case, the flow dependency link between two actors specifies that the recipient depends on the agent not just only by the specific flow, but by the action as well.

In the area of information system analysis, a part of requirement specification may be defined in terms of actors and use cases [Jacobson et al. 92]. Usually, the semantic category (type of entity) of an actor is the aid to describe what exist outside [Checkland 81] of the computerised system, and the category of use case shows what should be performed inside of this system. Therefore, a use case model is bounded by a box which defines the boundary between supporting and supported parts of the overall system. In the case of software system

development, an actor is representing the environment of computerised system. Often designers do not define actors in detail. An example of a use case model is presented in Fig.4.1.

Fig.4.1. Use cases and actors

(ACTOR

opposite direction, i.e. ACTION

be performed without a flow. Cohesion of the flow dependency (AGENT

FLOW action dependencies (AGENT

ACTION and ACTION which will be referred to as the communicative action dependency. A graphical notation of it is represented in Fig.4.2.

AGENT RECIPIENT

FLOW Fig.4.2. The communicative action dependency between two actors

The communicative action dependency link between two actors indicates that the recipient depends on the agent by a specific action that transfers the ownership of flow from the agent to recipient. Underlying concepts and dependencies play an important role in various business modelling approaches which are based on communication [Winograd & Flores 86]. A typical action workflow loop can be defined in terms of two communicative action dependencies between actors. Sequences of communicative actions in the workflow diagrams [Action Technologies 93] may serve as a basis to define obligations, authorisations and contracts

[Weigand et al. 97]. Example of the typical workflow loop that is defined in terms of two communicative actions into opposite directions is represented in Fig. 4.2.

CUSTOMER

SUPPLIER

Fig.4.2. Action workflow loop between Customer and Supplier

This graphical example shows that a customer is authorised to send an order to a supplier by using the predefined ordering action. If this order will be accepted by a supplier then he is obliged to supply the specific item. The supplier is also responsible to follow the contract which can be defined in terms of relationships between incoming (ORDER) and outcoming flows (ITEM).

Similar approach was demonstrated in the Strategic dependency model [Yu & Mylopoulos 94]. Strategic dependency links between two actors indicate that one actor depends on the other actor for something in order to attain some goal [Gustas 96]. Strategic dependencies have been defined as resource, task and goal dependencies.By matching the dependencies from agents to recipients, one can reason about opportunities that are available to these actors.

5. An Extended View to the Communicative Action Dependency

Any action can be viewed in two different perspectives. An agent is an active element that carries out a specific task in order to transfer a flow. At the same time, the purpose of action is to change the state of a specific object from the current to expected. Therefore, an action may be considered as a transition between two states. In our approach, an action is also a part of the cooperation process. Therefore, a communicative action represents intentional knowledge about dependency between two actors on some flow.

To produce any kind of flow means to accomplish a task. Therefore, in this approach, an action can be defined at least from two different perspectives: static and dynamic. Described above dependency of a flow between to actors is a basic to define the static view to the process modelling. According to this perspective, an action must carry out its task in the flow processing regardless of what happen elsewhere. Conversely, the dynamic component of the process modelling may denote a relationship between two consequential states that are connected by action. States define two different sets of conditions to initiate and to finish an action. Therefore, a communicative action in this approach is also similar to the notion of a dynamic transition between two states.

Interdependencies between states of actions in a same workflow loop may also involve set of constraints to be considered as definition of a contract between two actors. In the following, we shall use a combined notation to represent two described perspectives of action. It includes both communication action and transition dependencies that are required to specify the semantics of action. Graphical notation of such understanding is presented in Fig.5.1.

Fig.5.1. The communicative action and transition dependency The communication flow dependency defines just a part of a contract between two actors. It is represented graphically by an arrow into and out of a process. Thus, flows between actors represent the static aspect of an action, whereas states referred to as the current and expected, represent the dynamic change. This notation includes both communication and transition dependencies that required to reason about possible effects of an action for the overall business process.

For any communicative action to be performed successfully, it has to satisfy the certain conditions:?Preconditions before an action is started,

?Postconditions after an action has been performed,

?Static conditions.

The preconditions before the action is started are as follows:

), where x ∈ S C , S C∩ S E= ?;

1)An object (x) of action belongs to the CURRENT STATE (S

C

2) A FLOW is owned by an AGENT.

The postconditions followed immediately after an action has been performed are the following:

), where x ∈ S E , S C∩ S E= ?;

1)An object (x) of an action belongs to the EXPECTED STATE (S

E

2) A FLOW is owned by a RECIPIENT.

Static conditions are as follows:

1) A flow is to be sent from one agent to exactly one recipient.

2)If the current and expected state has a least common generalisation X, then the concept X is totally

dependent on a concept of Flow.

Let us take a look to the example of a typical action workflow loop which has been already presented in the previous section. To initiate the ordering action for the object x, the set of constraints of a ‘Not Ordered Product’ have to be satisfied by x. In a context of the initiated flow (Order), the action (Order) is to be performed

successfully if and only if the dependencies of concept ‘Ordered Product’ would be satisfied by x and the Order y is to be accepted by the SUPPLIER (w) from CUSTOMER (z). This example is illustrated graphically in Fig. 5.2.

Fig.5.2. Two examples of communication and transition actions The consequence of the sent ORDER (CUSTOMER ORDER supplier (SUPPLIER

has to have exactly one CUSTOMER and one SUPPLIER. Also, if NOT_ORDERED_PRODUCT and ORDERED_PRODUCT is a PRODUCT, then ORDER has to be associated to one PRODUCT. This can be specified as follows:

ORDER PRODUCT, ORDER ? CUSTOMER, ORDER ? SUPPLIER,

The static dependencies that may be specified between any two concepts (including states) A and B are as follows:

? (1,1;0,1) - Injection dependency which will be denoted by A ? B ,

?

(1,1;0,*) - Total Functional dependency (A B),?

(1,*;0,1) - Surjective partial functional dependency (A ?> B ),?

(1,1;1,1) - Bijection dependency (A B),?

(1,*;1,1) - Surjection dependency (A B),?

(1,*;1,*) - Mutual multivalued dependency (A B),?

(1,*;0,*) - Total Multivalued dependency (A B),? (0,1;0,1) - Partial injectional dependency, (A |? B ) ,

? (0,1;0,*) - Functional (partial) dependency (A

B),? (0,*;0,*) - Multivalued (partial) dependency (A

B).The presented cardinality constraints represent a minimum and maximum number of individuals of the concept B that can be associated for each individual of the concept A, and vice versa [Tsichritzis & Lochovsky 82].

The existence of object x in some state would also impose the fulfilment of a set of static dependencies that are defined for the dependent on the particular state concepts. Two kinds of changes such as disconnection and connection occur concerning the associations of object during the transition of this object from one state to another. A disconnection removes an existing association from existence and connection adds a new association.Sometimes, such change is referred to as a reconnection event [Martin & Odell 96].

The disconnected and connected associations are represented by entirely different relationships of states.The definition of such noteworthy difference of the current and new state is very important to understand the nature of action. Only those processes, that conclude with a state change followed by the disconnection or connection event, can be interpreted as actions. For instance, if B then the concepts A and B can be interpreted as states. The dependency B for the state A would mean that for any object x, x ∈A, a transition of x to the next state B is applicable. To perform such transition, the communicative action is needed. For instance, a graphical example of the noteworthy difference between three states, that are important to understand actions of customer and supplier, is illustrated by Fig.5.3.

Fig.5.3. Constraints to Order and to Supply

In this diagram a graphical notation by Martin/Odell [Martin & Odell 96] is adopted to represent semantics of the static dependencies.

The transition from the state ‘Product Needs to be Ordered’ to the state ‘Ordered Product’ can be performed by the action of Ordering. Existence of object x in state ‘Ordered Product’ would imply that it must have one or many (surjection dependency) ‘Not Supplied Item s’ associated to this Product. The presented static dependencies denote a noteworthy semantic difference between the previous (Product Needs to be Ordered) and the current state of a product. Noteworthy changes performed by actions are important for actors, because they create a need to react. The reaction mechanism can be defined in terms of communication flows. If the state changes are of interest for actors, then they need to go somehow together with flows which are to be sent through actor communication links. For instance, if ‘Product Needs to be Ordered’ then a Customer has to react appropriately. In this particular situation, a Customer is supposed to send an Order to a Supplier. If an item is ‘Not Supplied Item’ then the Supplier is supposed to Supply an Item to the Customer.

The semantic difference between two states ‘Not Supplied Item’ and ‘Supplied Item’ is defined in terms of two semantic links (see ‘Ordered Product’ and ‘Product Needs not to be Ordered’). Because of the transition link between these two boxes, they may be considered as two sequential states of an item, where the state transition can be performed by the action of supply.

Simultaneous declassification of an object and classification it into another type of concept in object-oriented approach is entitled as a reclassification event [Martin & Odell 95]. Reclassification event is very similar to what is described as a state transition perspective in this approach. Sometimes, an object passes several states, and is then destroyed. If a recipient rejects the flow, then the object has to remain in the current state, which guaranties that it will not be affected by any change. This also could mean the failure of an action. If the agent is not going to deliver a specific flow to a recipient, then it will cause a failure of the action as well.

6. Pragmatic Dependencies in an Extended Action Workflow Loop

The concept of action workflow [Action Technologies 93] is central in the field of business process re-engineering. Business processes can be defined as series of coherent activities that create a result, which has a value for a customer. Business process is seen as a goal driven activity of solving a problem through performing a task for a customer. It usually cuts across organisational boundaries within an organisational system. In this approach, business processes are viewed as value creating activity chains that consist of the typical action workflow loops.

Actor goals can be interpreted as a driving force to create viable chains of activities of the overall business process. A typical action workflow loop include two communication flows sent into opposite directions. Thus, a work activity is the fulfilment of commitments by one actor to the satisfaction of another. The customer is an actor who initiate the work to achieve his goal. The performer is an actor who is doing the work. Graphical representation of a typical workflow loop is depicted in Fig.6.1.

CUSTOMER PERFORMER

FLOW

Fig.6.1. Graphical representation of a basic workflow loop

According to the presented workflow loop, the first flow is created by a customer. The receiver of this flow is a performer. Flow dependencies in two opposite directions imply that certain contractual relationships are established between those two actors. In the reality they are represented either by the commitment or the contract [Goldkuhl 95] between customer and performer. A commitment is something that must be fulfilled to achieve some goal of a customer. Sometimes, it is not only a commitment, but also an offer to the performer. The very natural way of acceptance of such offer implies initiation of the flow into the opposite direction.

Any workflow loop is a business process that defines a set of responsibilities as well as set of requests that a customer can ask a performer. Constraints on responsibilities and requests can be specified in terms of situations. Usually, the customer is an actor who initiates the action in order to achieve his goal that is referred to as a desired situation (DS2) resulting from the action of performer. The goal corresponds to a final situation in a communicative action workflow loop. Once agreement is reached, by using flow in the forward direction, a customer is asking a performer for initiation of some action. If request corresponds to a contract, it will always create a situation (DS1) that is an opportunity for a performer (PERFORMER o DS1).

A pragmatic link between an actor and his desired situation is entitled to as a goal dependency ( g ). The problem link ( p ) will be used to refer a problematic situation of an actor. The opportunity link ( o ) is referring to an intermediate situation between a problematic and desired. Sometimes, opportunities are considered to as achievable situations that are not regarded as final, i.e. situations that actors may want to take advantage. If so, they may be interpreted as intermediate goals. Graphical notations of the pragmatic dependencies are presented in Fig.6.2.

will be accepted) then, by the action of customer, this problematic situation would be replaced to a desired situation (DS1). In the next step, a performer by sending Flow 2 has a possibility to change his problematic

situation (PS2) to the expected situation (DS1) that is regarded to as a goal of customer (Customer g DS2).

Therefore, a customer by depending on a performer, is able to avoid his problem and to achieve goal. Graphical example of semantic and pragmatic dependencies of a typical action workflow loop between customer and supplier is depicted in Fig. 6.3.

Fig.6.3. Example of dependencies in an action workflow loop Satisfaction of actors is closely related to their goals and problems. In order to activate any action, an agent has to know about the opportunities available. If a recipient is viewing an intermediate situation as an opportunity to achieve his goal or to avoid his problem, then the flow that has been sent by an agent would be accepted. By matching the flow dependencies from agents to recipients, one can explore possibilities that are available to these actors. If a performer becomes vulnerable to the failure of delivering the flow then the recipient would be concerned about viability of a particular communicative action dependency. Viability of actions can be defined in terms of pragmatic links.

A communicative action workflow loop represents the unit of work within a business process. Overall business process can be specified by linking such workflow loops [Action Technologies 93]. Any actor in a loop can act as both agent and recipient. It means that a recipient in the first part of the workflow loop can be interpreted as an agent in the second. It should be noted, that this understanding of the dynamics of actions is in correspondence with a well-known modelling technique such as data flow diagram [Yourdon 89] and the object flow diagram [Martin & Odell 95]. Specification of the actor dependencies in this approach may be described in terms of the semantic and the pragmatic perspective of process modelling.

7. The Influence Dependency

The semantic and pragmatic dependencies in the action workflow loop are very important to analyse viability of business processes. It should be noted that viability of a single communicative action dependency between two actors guaranties that the desired situation create a new possibility for a recipient of the flow. A customer tries to initiate the action, because he wants to avoid a problematic situation or to achieve a new desired situation. By depending on a performer, a customer is able to achieve a situation that can not be reached without involvement of a specific performer.

Satisfaction or dissatisfaction of actors is dependent on whether a new situation is interpreted as a goal, opportunity or a problem. New situation in a first part of the typical action workflow loop, creates a problem which can be solved by some action of performer. If a performer has no possibility to use appropriate action, a customer becomes vulnerable to the failure to achieve his goal. In this case, a performer would not deliver the flow to a customer. If the performer fails to deliver a flow to the customer, then customer becomes vulnerable to the failure.

Any two goals of different actors can be contradictory, if one of them is interpreted as a problem. Contradictory goal influence negatively or hinder to achieve a desirable situation. This means that the interpretation of the notion of goal and problem is relative and it is dependent on the actor objectives. The same situation can be interpreted as a goal for one actor, or as a problem for another. If a customer’s goal is in contradiction to a performer’s goal then this customer may become unfavourably affected in his capability to achieve some goal.

In this chapter, two pragmatic relationships that are entitled to as negative influence dependency ( - )

and positive influence dependency ( + ) will be defined. The negative influence dependency has been introduced in F3 project [F3 Consortium 94] to specify contradictions between goals. The negative influence dependency from A to B (A - B) indicates that the goal A hinders to the achievement of goal B. Let us have the following semantic dependencies:

CUSTOMER PERFORMER and S1

PERFORMER CUSTOMER and S3

In the context of a typical action workflow loop, the conditions for existence of the negative influence dependency are as follows:

if CUSTOMER p S1 and CUSTOMER g S4 then S1- S4 .

This axiom specifies that a problematic situation (S1) hinders to the achievement of desired situation (S4). The graphical illustration of the negative and positive influence dependencies among a problematic, intermediate and desired situation is presented in Fig.7.1.

Fig.7.1. Graphical representation of influence dependencies

Moreover, in a context of an opportunity (S2), the following axiom is true: if CUSTOMER p S1 , CUSTOMER o S2 and CUSTOMER g S4 then S2 - S1, S2 + S4 . According to this definition, an opportunity must influence negatively a problematic situation and it must influence positively a desired situation.

The positive influence dependency ( + ) between two goals means that the achievement of the first goal, would contribute to the achievement of the second. It should be noted that any problem that hinders to a problematic situation may be considered as an opportunity for some actor, i.e.

if PERFORMER p S3 and S2 - S3 then PERFORMER o S2.

Any opportunity that influences positively a desired situation may be considered as an opportunity as well. Thus, if PERFORMER g S5 and S4 + S5 then PERFORMER o S4.

A customer is the actor who initiate an action (see action of a customer in the previous chapter) to achieve his goal that corresponds to the desired situation (S4). If both actors in the action workflow loop are not considering a new situation (S2) as an opportunity, then this action workflow loop would not be viable. Definition of the pragmatic criterion to ensure the viability of an action workflow loop can be based on the introduced set of dependencies. If two actors in an action workflow loop have contradictory goals, then this loop may be not viable. Contradictory goal can influence negatively or hinder to the achievement of a desirable situation. The pragmatic part of the viability criterion in the context of the presented action workflow loop can be described as follows:

If CUSTOMER p S1, CUSTOMER o S2, PERFORMER o S2,

PERFORMER p S3, PERFORMER o S4 and CUSTOMER g S4 then

S1- S4 , S2 + S4 , S2 - S1 , S4 -

Satisfaction or dissatisfaction of actors can be studied in terms of pragmatic dependencies. It should be noted that the additional pragmatic links can be derived according to the following inference rules:

if A+ B , B - C then A - C ,

if A- B , B - C then A + C ,

if A+ B , B + C then A + C .

The negative and positive influence dependencies have been first introduced in F3 project [F3 Consortium]. In this approach, the negative influence dependency was defined in terms of the semantic dependencies. It is useful too specify contradictions between two goals of different actors. The negative influence pragmatic relationship from one situation to another indicates that the first hinders to the achievement of the second. If one of the goals hinders to the achievement of the other, then these goals are in conflict. The positive influence dependency between two goals indicates that the achievement of one goal helps to achieve the second.

A set of the negative and positive influence dependencies in the overall business process constitute a formal basis for a pragmatic part of inconsistency analysis.

8. Example of Reasoning about Consistency of Business Processes

A way normally people analyse business processes is by reasoning on a basis of the model for a particular part of the system. Many analyst in the area of information system development, define their systems in terms of initial conceptual models, and later extend them by making a whole lot of assumptions. Very often these conceptual models are quite vague, because of several reasons. Sometimes, the concept dependencies in a semantic diagram may be not strictly defined or they can be interpreted ambiguously. Also, the system model may be still not clear enough, even if the developed by experts diagrams are presented in a formal way. This can take place for the reason that a description of the system is inconsistent. Some inference rules of the presented semantic and pragmatic dependencies can be used to reason about consistency of business processes.

Let us take an example of ordering and supplying process that has already been used in this paper (see Fig.

5.3). An action of order and supply in the workflow loop can be activated to deliver a result for a customer. The transition of object from the state ‘Product Needs to be Ordered’ to the state ‘Ordered Product’ create a new opportunity for a customer. Existence of an object in state ‘Ordered Product’ would imply (see static dependencies of Fig. 5.3) that it must have one or many ‘Not Supplied Item s’ associated to this Product. If it is so, then to avoid a problematic situation a Supplier has to react appropriately. In this particular case, a Supplier is supposed to supply a specific ‘Not Supplied Item’ to a Customer. This action would enable a transition of a specific object from ‘Not Supplied Item’ to ‘Supplied Item’. The transition of this object can be performed by the action of supply, which eventually has to be accepted by a customer.

Let our diagram under discussion will be extended and analysed in the context of the next two communication actions that are represented in Fig.8.1.

Fig.8.1. Communicative actions to invoice and to pay

Conversely to the previous action workflow loop, a business process that is represented in Fig.8.1, has to deliver a result for a supplier. If the final state ‘Paid Item’ of the second communication action will be interpreted as a goal of a customer, then the overall business process may be viable. In this case, it should be possible to transfer an object from the state ‘Not Supplied Item’ to the state ‘Paid Item’ with the condition that the state ‘Invoiced Item’would be regarded to as an opportunity for both actors. To avoid the problematic situation ‘Not Supplied Item’, a supplier is supposed to invoice a specific Customer. This action would enable the transition of an object from a ‘Not Supplied Item’ to ‘Invoiced Item’. An integrated business process consisting of two workflow loops is graphically represented in Fig. 8.2.

Fig.8.2. Example of an integrated diagram

This example shows an integration of two previously described business processes that are represented in Fig.8.1 and Fig.5.3. The diagram asserts that the action of invoice is to be triggered in parallel with the action of supply. It is represented by two transition dependencies from the same state. According to the presented semantic links, there is the only possible way to move away an object from the state ‘Not Supplied Item ’ if and only if both actions are activated at the same time. The consequence of two accepted flows such as invoice and item, must be the action of payment.

Each of workflow loops in the diagram corresponds to a separate contract between customer and supplier.Any flow in a communicative action loop in the forward direction defines an authorisation, while obligation

[Weigand et al. 97] corresponds to the flow in the backward direction. Static relationships between states of each action workflow loop define conditions of a contract. According to the conditions of integrity between static and dynamic dependencies, the contracts of the presented diagram (see Fig.8.2) can be defined as follows:

If CUSTOMER

ORDER SUPPLIER then SUPPLIER ITEM If SUPPLIER

INVOICE CUSTOMER then CUSTOMER PAYMENT The activation of the invoicing action would mean the presence of a complimentary flow (Item) that is initiated by the action of supply and visa versa. Such condition of action concurrency would imply the following rules:

If SUPPLIER

INVOICE CUSTOMER then SUPPLIER ITEM If SUPPLIER

ITEM INVOICE The presented rules and dependencies exemplify the actor communication perspective of reasoning about flows.

The second perspective of reasoning about semantic consistency of business processes is based on the inference rules that are defined for the transition dependency (). In the area of enterprise modelling, we concentrate on a particular subset of semantic links, which is entitled to as totally applicable dependencies. The formal procedure of reasoning is based on the following inference rules:

1. if A ?> C then A

2. if A

B , B

C then A 3. C then A 4. if A ? C then A

5.if A

6.if A ?

7.if A B , B C then A C ,

8.if A ?>

9. B , B C then A

Suppose we need to predict a possibility of transition from the state ‘Product Needs to be Ordered’ to the state ‘Paid Item’. The formal prove can be shown on the presented diagram (see diagram in Fig.8.2):

If Product_Needs_to_be_Ordered ?> Not_Supplied_Item then Product_Needs_to_be_Ordered

If Product_Needs_to_be_Ordered Not_Supplied_Item, Not_Supplied_Item

Not_Supplied_Item Supplied_Item if and only if Not_Supplied_Item

If Product_Needs_to_be_Ordered Not_Supplied_Item, Not_Supplied_Item

Product_Needs_to_be_Ordered

If Product_Needs_to_be_Ordered Invoiced_Item, Invoiced_Item

Product_Needs_to_be_Ordered

The presented chain of inferences illustrates consistency of the second perspective that is based on reasoning about the state transition dependency.

Two perspectives of reasoning at the semantic level that are based on communication and transition links are not sufficient to assure consistency of the overall business process. If customer and supplier have contradictory goals, then the presented two workflow loops would not be viable. Inconsistent goals of two actors may hinder to the achievement of the desirable state ‘Item Paid’. The pragmatic dependencies of these two workflow loops have to satisfy the viability criterion. Let the pragmatic dependencies for the presented in Fig.8.2 workflow loops are as follows:

Customer p Product_Needs_to_be_Ordered, Customer o Ordered_Product,

Customer g Supplied_Item, Supplier p Not_Supplied_Item, Supplier o

Supplier g Paid_Item, Customer o Paid_Item.

According to the presented axioms, the following negative and positive influence dependencies can be derived: Ordered_Product - Product_Needs_to_be_Ordered, Ordered_Product + Supplied_Item,

Product_Needs_to_be_Ordered - Supplied_Item, Paid_Item - Product_Needs_to_be_Ordered,

Invoiced_Item - Not_Supplied_Item, Invoiced_Item + Paid_Item,

Not_Supplied_Item - Paid_Item.

The negative and positive dependencies between various situations in a business process are imposed by different intentions of actors. If influences in the action workflow loop are incompatible (A+ B and A - B), then this situation is referred to as an inconsistency. By using a set of influences between situations from the point of view of different actors, the inconsistency of goals can be identified. It is not so difficult to see that the pragmatic dependencies that are taken from both action workflow loops are consistent.

Inconsistency between actor goals in a context of the same business process would mean that one of the actors is vulnerable to the failure in the achievement of his goal. Inconsistencies may be eliminated either through negotiation among actors. Sometimes, the inconsistency can be avoided by disregarding some of the goals or by disregarding some of the actors. To the best of our knowledge, there were no well defined formal criteria to analyse inconsistency of pragmatic links on the basis of semantic dependencies. The presented inference rules of dependencies can be regarded as a starting point for the investigation of inconsistency among diagrams of various owners.

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Modelling of organisational processes require a number of perspectives. There are often many actors in an organisation, each with a number of goals. In our approach, we have shown how to bring together semantic and pragmatic descriptions of business processes and to combine insights from the point of view of different goals. An attempt of the suggested generic framework for enterprise modelling is to bridge goals of various actors and a

way the business processes are described.Interaction of semantic and pragmatic dependencies is an essential feature of the framework. In this paper we have presented an interplay of semantic and pragmatic dependencies that can be considered as a necessary basis to reason about different perspectives of process diagrams.

The analysis of the actor and their goal dependencies begins with the premise that motivation of actions can be obtained on a basis of dependencies between goals. Every actor has motivation and rationale behind his action, which can be expressed in the form of pragmatic diagrams. Goals and desires of actors constitute an important part of knowledge about business processes. Pragmatic dependencies can explain the freedom of a specific actor and the extent to which actors are exposed to danger. In this paper, an overview and description of some properties of semantic and pragmatic dependencies is presented.

Lack of integrity among various concepts in the business process representations indicate a lower semantic quality of the enterprise modelling and may be a reason of a poor understanding what is going on in the system. Sometimes, experienced system analysts can reason about concepts that are related to one another even when the various static and dynamic constraints are not fully represented. They also play out scenarios with the objects and actively engage in analysis of semantic dependencies between business actions and actors involved. Nevertheless, the presented principle of integration seems to be a very useful tool to automate the process of enterprise engineering. Such more complex approach is needed where several business processes can be viewed differently by various stakeholders.

One of the problems of enterprise modelling is to bridge the static and behavioural dependencies of various diagrams. The basic schema of communication approach in this paper is taken as a foundation to examine an interplay of various semantic dependencies. Action workflow diagrams offer limited analytical capabilities of integration between static and dynamic aspects. Traditional data flow diagrams are closer to the technical system development stage, therefore, they do not capture organisational aspects. Although object-oriented models are quite comprehensible for users, they do not provide a complete integration between static and dynamic constraints. A set of the presented dependencies is semantically rich enough to take into account responsibilities as well as set of requests that a customer can ask a performer. Agreements can be also described in terms of static dependencies that are defined for various states of an action workflow loop.

Concept of the action workflow is central in the field of business process re-engineering. Business processes can be defined as series of coherent activities that create a result, which has a value for a customer. Traditionally, enterprise models are based on entity notations provided by several links. Links are established to capture semantic detail about relationships among concepts, activities and actors. The ability to describe a business process in a clear and sufficiently rich way is acknowledged as crucial to enterprise engineering. In this paper, some essential principles for the development of a consistent system diagram are described.

The presented set of semantic dependencies can be viewed as a uniform basis to reason about semantic integrity of the overall business process. The suggested generic framework focuses on the modelling of semantic and pragmatic constraints, where several actors co-operate to achieve new desired states. The presented dependencies provide a uniform formal basis in the area of concurrent enterprise modelling. The purpose of such analysis is that eventually enterprise models can be used as a tool to assist reasoning and validate various aspects of diagrams before they are implemented.

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