Abstract:
Systems and methods that automatically arrange, or re-arrange, object nodes in a diagram such that the total length of all associations between nodes and the number of overlapping associations is reduced or minimized. In mathematical terms, the process simplifies the graphical representation of an arbitrary graph. In one aspect, processes of the invention use a physical model of particle interactions to determine a minimal energy state, with object nodes modeled as particles and the associations between the object nodes modeled as interaction forces. Perturbations applied to the system allow for a determination of a minimal energy state

Description:
BACKGROUND OF THE INVENTION  
       [0001]     The present invention relates to systems and methods for simplifying nodes in a network display, and more particularly to systems and methods for simplifying an object model display by automatically arranging or re-arranging objects in the model.  
         [0002]     One goal of modeling systems, such as the Unified Modeling Language (UML) and other modeling systems, is to provide a means to specify, construct, document and visualize the artifacts of a distributed system such as a distributed object system in the case of UML. The display rendered in such systems provides the user with a visual feedback that allows the user to simply and easily understand the model paradigm being created or implemented. In the case of UML, or other object modeling systems, object nodes are displayed in a topology along with relationships (e.g., associations) between the various object nodes so as to create an object network topology. Object nodes are typically connected by connector lines which represent various associations between objects nodes. In the case of workflow, for example, the connector lines represent the direction of control flow between objects, and in the case of UML tools, the connector lines represent association or inheritance relationships between the objects.  
         [0003]     However, such network topology displays become very confusing for large topologies (e.g., large number of objects and associations): the user is often presented with a complex web of tangled connections. Above a certain level of network complexity, it becomes difficult for the user to make much sense of the display and to determine which nodes are connected. For example, if two object nodes in opposite corners of a displayed diagram are connected by an association, the corresponding connector line may cross the entire diagram and possibly other object nodes. Consequently, it may be very difficult to determine to which object nodes the connector line is associated. Current development tools, such as Rational Rose and Oracle&#39;s JDeveloper, only provide limited means for re-organizing object nodes and do not provide a robust automatic solution to such problem.  
         [0004]     Accordingly, it is desirable to provide systems and methods for automatically simplifying a network display, and in particular an object node display, to allow a user to easily identify and determine which nodes are connected.  
       BRIEF SUMMARY OF THE INVENTION  
       [0005]     The present invention provides systems and methods for arranging, and re-arranging, interconnected network nodes in a display in a manner that simplifies the network view, and therefore also improves the visual understanding of the network imparted to a viewer of the display.  
         [0006]     According to the present invention, a process is provided that automatically arranges, or re-arranges, object nodes in a diagram such that the total length of all connector lines between nodes and the number of overlapping connector lines is reduced or minimized. In mathematical terms, the process simplifies the graphical representation of an arbitrary graph. In one aspect, the process uses a physical model of particle interactions to determine a minimal energy state, with object nodes modeled as particles and the associations between the object nodes modeled as interaction forces. Perturbations applied to the system allow for a determination of a minimal energy state.  
         [0007]     The process of the present invention provides for automatically arranging object nodes when rendering a new diagram, for example when combining objects from two or more UML diagrams, or automatically re-arranging object nodes for an existing diagram, for example after a UML object diagram has been created.  
         [0008]     According to an aspect of the present invention, a computer-implemented method of automatically re-arranging nodes in a display is provided. The method typically includes displaying a plurality of nodes in a first configuration on a display, wherein each node has associations with one or more nodes, each association being represented by a physical connector between the associated nodes on the display, and automatically re-arranging the displayed nodes to a second configuration such that a total length of all connectors is minimized and such that a number of overlapping connectors is minimized. In one aspect, the nodes represent objects in a UML diagram and the connectors represent associations between objects.  
         [0009]     According to another aspect of the present invention, a computer-implemented method of automatically arranging a plurality of nodes in a display is provided. Each node has associations with one or more nodes, each association being represented by a physical connector between the associated nodes on the display. The method typically includes determining an original configuration of a plurality of nodes to be displayed, each node having a pair of display coordinates, and determining the associations for each node, each association to be represented on the display as a physical connector between the associated nodes. The method also typically includes determining a node configuration wherein a total length of all connectors is minimized and wherein a number of overlapping connectors is minimized, and displaying the plurality of nodes in the node configuration on the display. In one aspect, the nodes represent objects in a UML diagram and the connectors represent associations between objects.  
         [0010]     According to yet another aspect of the present invention, a computer system configured to automatically re-arrange nodes in a display is provided. The system typically includes a display for displaying node configurations, wherein a plurality of nodes is displayed in a first configuration on the display, wherein each node has associations with one or more nodes, and wherein each association is represented by a physical connector between the associated nodes on the display. The system also typically includes a means for automatically re-arranging the displayed nodes to a second configuration on the display such that a total length of all connectors is minimized and such that a number of overlapping connectors is minimized.  
         [0011]     Reference to the remaining portions of the specification, including the drawings and claims, will realize other features and advantages of the present invention. Further features and advantages of the present invention, as well as the structure and operation of various embodiments of the present invention, are described in detail below with respect to the accompanying drawings. In the drawings, like reference numbers indicate identical or functionally similar elements.  
     
    
     BRIEF DESCRIPTION OF THE DRAWINGS  
       [0012]      FIG. 1  illustrates an exemplary display system  10  according to the present invention.  
         [0013]      FIG. 2  illustrates an example of a network diagram before and after simplification according to one embodiment.  
         [0014]      FIG. 3  illustrates an example of a UML object-node diagram, where the various objects, designated by letters “A” through “X”, are arranged in a simple four column grid  
         [0015]      FIG. 4  illustrates the object node UML diagram of  FIG. 3  after processing according to the present invention  
         [0016]      FIG. 5  illustrates the object-node UML diagram of  FIG. 4  after minor manual re-positioning by the user. 
     
    
     DETAILED DESCRIPTION OF THE INVENTION  
       [0017]      FIG. 1  illustrates an exemplary display system  10  according to the present invention. Display system  10  includes a client device  20 , coupled to, or including a display device  25  and a user interface device  30 . Client device  20  could be a desktop personal computer, workstation, laptop computer, or any other computing device. Client device  20  preferably includes components capable of interfacing directly or indirectly with a network  40 . Network  40  can be the Internet, a local area network (LAN), wide area network (WAN), virtual private network (VPN) or any other type of network. Each client  20  typically runs an application program  22  allowing a user of client  20  to create and visualize a topology of network nodes as will be discussed in more detail below. Each client device  20  also typically includes one or more user interface devices  30 , such as a keyboard, a mouse, touchscreen, pen or the like, for interacting with a graphical user interface (GUI) provided by the application program  22  on a display device  25 . In general, display device  25  is any device capable of rendering a display of a network topology including, for example, a monitor screen, LCD display, printer, etc.  
         [0018]     The application program  22  typically includes computer code run using a central processing unit  23  such as an Intel Pentium processor or the like. Computer code for operating and configuring client  20  (e.g., application program  22 ) as described herein is preferably stored to memory  24  such as a hard disk, but the entire program code, or portions thereof, may also be stored in any other memory device such as a ROM or RAM, or provided on any media capable of storing program code, such as a compact disk (CD) medium, digital versatile disk (DVD) medium, a floppy disk, or the like. Additionally, the entire program code, or portions thereof may be downloaded from a software source to client  20  over network  40 , for example, over the Internet as is well known, or transmitted over any other conventional network connection as is well known, e.g., extranet, VPN, LAN, etc., using any communication medium and protocols (e.g., TCP/IP, HTTP, HTTPS, Ethernet, etc.) as are well known. Additionally, portions of the program code may be downloaded or provided to client device  20  and executed on client device  20 . In one aspect, portions of the program code are executed simultaneously at different locations (e.g., client-server process wherein one or more clients  20  are connected to one or more servers) and the communication between the different parts is transmitted over the Internet or other network connection/medium.  
         [0019]     In one embodiment, application program  22  is configured to interface with an object modeling system process, such as UML, executing on client  70  to provide simplified views of an object model being created or implemented. The invention will now be described with reference to an object model wherein objects are displayed as object nodes and wherein associations between objects are displayed as connector lines, or connectors. It is understood, however, that the present invention is useful for simplifying displays of other network topologies, such as a computer network topology, a circuit diagram, etc. or any other topology requiring nodes and interconnections or associations.  
         [0020]     In one embodiment, each object node is identified by an x-coordinate and a y-coordinate representing where on the display (e.g., x-y graph) a point of the object node will be displayed. In one aspect, the x-y coordinates represent the center point of each node, however, each x-y coordinate could represent any arbitrary point in the displayed node, such as one of the corners or along one of the edges of a node represented as a square or rectangle. The coordinates are preferably stored as arrays of x-y coordinates. Thus, in one aspect, objects nodes are identified by an array of x-y coordinates: x[i], y[i], where i ranges from 1 to N, the number of object nodes to be displayed.  
         [0021]      FIG. 2  illustrates an example of a generic network diagram before and after simplification by application program  22  according to one embodiment. In this example, each node is displayed as a rectangular object (not necessarily an “object” in the programming sense), and associations between nodes are displayed as connector lines, or connectors. In  FIG. 2 , five nodes are displayed with connector lines. In the above representation, before simplification, two intersections representing overlapping connectors are evident, specifically, the connector between nodes A and E (A-E) intersects the connectors C-B and D-B. In the lower representation, after processing by the simplification process (e.g., embodied in application program  22 ), the sum length of all associations is minimized as are the number of intersections.  
         [0022]     The association lengths, or lengths of connectors, are preferably determined based on a simple Cartesian distance metric, r. For example, the distance between an object node i and an object node j is represented by, r=sqrt(rx 2 +ry 2 ), where rx=x[j]−x[i] and ry=y[j]−y[i]. In one aspect, association lengths are preferably minimized with respect to a target value. That is, the target value defines an optimal association length for each association, as well as an optimal minimum distance between nodes not having an association or connector. In the particle interaction model analogy, particle nodes having an association length greater than the target value are attracted to each other by a virtual attractive force, and particles having an association length less than the target value are repelled by a virtual repulsion force such that the minimum energy state between two associated nodes is when the association length is at the target value.  
         [0023]     After iterative processing as will be described below, the particle nodes settle to a minimum energy state. However, it may be that some or many associations will be confined to lengths greater than or less than the target value due to other conflicting node interactions in complex diagrams. In one aspect, if object nodes do not have an association they can only repel each other if the length between the two nodes is less than the target value. For example, during the iterative process, to better spread out nodes, if two nodes have a separation value (calculated similar to an association length) that is less than the target value, these two nodes will experience a virtual repulsive force relative to each other so that they spread out and are not displayed too close to each other. In one aspect, the target value is user configurable, however a default value of, for example, 50 or 100 pixels, or some other pixel distance that would provide a non-cluttered display is provided for the target value. In another aspect, the target value is a function of the number, N, of nodes to be displayed.  
         [0024]      FIG. 3  illustrates an example of a UML object-node diagram, where the various objects, designated by letters “A” through “X”, are arranged in a simple four column grid. As can be seen, with the various associations between object nodes overlapping and even crossing over object nodes, it is difficult to determine associations and to readily glean useful information from the diagram. Although a user may be provided with tools to manually adjust the display, this can be time consuming. Advantageously, the present invention provides processes for automatically simplifying such a complex diagram.  
         [0025]     According to one embodiment of the present invention, application  22  includes code configured to iteratively process the nodes to be displayed. In particular, the code iteratively processes each node to determine a configuration having a minimum virtual energy state. The application begins by calling a main process (“Main Algorithm”). The main process, in one aspect, begins by re-assigning the coordinates of a node to one of a plurality of pre-defined positions. For example, and as implemented in the sample code below, the application sequentially processes each node by re-assigning the coordinates of the node to each of the four corners of the display. Upon each re-assignment for the node, the process performs a relaxation process (e.g., relax( ), “Relaxation Algorithm” shown below) that minimizes association lengths relative to a target value for the given configuration. The relaxation process will be described below. The main process then determines the number of intersections (intersecting connectors) in this new (relaxed) configuration, and if the number of intersections is less than before, the re-assigned coordinates are saved as the x-y coordinates for that node. The main process continues in this manner, processing the node in each of the remaining corners (or predefined positions), and then repeats for the next node until all nodes are processed. The original coordinates of each node are restored during processing of subsequent nodes. Once all nodes have been processed in each of the pre-define positions, nodes are moved to a new configuration based on the previously saved new coordinates (if any) for each node and the relaxation process is executed for this configuration.  
         [0026]     In one aspect, it is preferred that the number of pre-defined coordinate positions is comparable to the number of nodes, N, to be displayed, however, at least four pre-defined coordinate positions should be used, and any number may be used. In one aspect, as discussed above, the predefined positions have coordinates proximal each of the four corners of the display. However, it is understood that any other predefined coordinates may be used, for example proximal the middle of each side of a square display, or spaced at equidistant angular values around a circle centered on the center of the display. An example of a main process follows.  
                                         Main Algorithm                                    // input -&gt; x[ ], y[ ] (coordinates of objects)           change = true;           max_intersections = calculateNumberIntersections( );           WHILE change DO             change = false;             // for all objects, move each object to each of the corners             // and see if this reduces number of intersecting associations             LOOP i=1:N //for all objects               LOOP j=1:4 //for all corners                 // (1) move i-th class to j-th corner                 x[i] y[i] &lt;- coordinates of corner                 // (2) relax new configuration:                 relax( );                 // (3) calculate number of intersections                 num_intersections = calculateNumberIntersections( );                 // check if we have less intersections, than before                 IF num_intersections &lt; max_intersections THEN                   max_intersections = num_intersections;                   save i, j                   change = true;                 END IF                 // restore initial x[i], y[i]               END LOOP             END LOOP             IF change THEN               use saved i, j               move i-th class to j-th corner               relax( );             END IF           END WHILE                      
 
         [0027]     The relaxation process, when called, begins by sequentially processing each node in a main processing loop (“main relaxation loop”) and then calculates a displacement value based on the virtual forces acting from all other objects (“inner relaxation loop”). For each object node (first node) being processed in the main relaxation loop, the inner loop process calculates a cartesian distance metric, r, between the first node and another object node (second node), and then calculates a displacement based on the virtual force experienced from second object node. If the first and second nodes have an association and the distance, r, between the first and second nodes is greater than the target value, the first node experiences an “attractive” virtual force and a displacement toward the second node is calculated. If no associations between the first and second node exists, no virtual attractive force is experienced. If, the distance, r, between the first and second nodes is less than a target value (regardless of whether the first and second nodes have an association), the first node experiences a “repulsive” virtual force from the second node. In either the attractive or repulsive virtual force case, a displacement in each of the x and y coordinates is calculated. In one aspect the displacement is based on a force equation of the form (1/target length−target length/r 2 ), although other useful equations may be substituted. In the case of attraction, the number of associations between the first and second nodes acts as a multiplier, such that if, for example, the first and second nodes have 3 associations, the attractive force experienced is three times as strong, and the displacement value calculated is three times greater. For this first node, the inner loop relaxation process is repeated for all other second nodes in the inner relaxation loop. The process then loops through all remaining nodes in the main relaxation loop such that each node is processed as a first node once and a second node N−1 times. Preferably all nodes are processed by each of the main relaxation loop and the inner relaxation loop in a sequential order, however any other order may be used. An example of a relaxation process follows.  
                                     Relaxation Algorithm                                // run iterations to “minimize” association length       LENGTH = 50 (pixels) // desired target average length of associations       num_assoc[i][j] -&gt; number of associations between i-th and j-th object       WHILE sum_displacement &gt; MAX_ERROR         sum_displacement = 0;         LOOP i=1:N // loop through all objects (“main relaxation loop”)           // calculate displacement for i-th object           // as a result of “forces” acting from all other objects           dx = 0; dy = 0;           LOOP j=1:N // loop through all objects (“inner relaxation loop”)             // object does not apply “force” to itself             IF i=j THEN               CONTINUE             END IF             // calculate x, y distance (r) between i-th and j-th objects             rx = x[j] − x[i]             ry = y[j] − y[i]             // calculate square of absolute distance             r = sqrt( rx{circumflex over ( )}2 + ry{circumflex over ( )}2 + 1 )             // for distance greater than LENGTH, objects that have associations               “attract”             IF r &gt; LENGTH AND num_assoc[i][j] &gt; 0 THEN               dx = dx + rx* num_assoc[i][j]*(1/LENGTH − LENGTH/r{circumflex over ( )}2)               dy = dy + ry* num_assoc[i][j]*(1/LENGTH − LENGTH/r{circumflex over ( )}2)             END IF             // for distance less than LENGTH, objects “repell”             IF r &lt; LENGTH THEN               dx = dx + rx*(1/LENGTH − LENGTH/r{circumflex over ( )}2)               dy = dy + ry*(1/LENGTH − LENGTH/r{circumflex over ( )}2)             END IF           END LOOP           // “move” objects according to calculated displacement           K = 10; // displacement coeffient, the larger K, the faster the convergence           x[i] = x[i] + dx * K;           y[i] = y[i] + dy * K;           // cummulative displacement:           sum_displacement = sum_displacement + dx*dx + dy*dy;         END LOOP       END WHILE                  
 
         [0028]     In the inner relaxation loop, the distance is calculated as r=sqrt(rx 2 +ry 2 +1) to avoid singularities or erroneous conditions during the iterative process for cases where objects may be exactly overlapping (e.g., x[i]=x[j] and y[i]=y[j]) or nearly overlapping. At the end of the main relaxation loop, the object nodes are moved according to the calculated displacements, and a total displacement value is determined. This new (relaxed) configuration is then used by the main process algorithm, either during the determination of a number of intersections or after reconfiguration at the end of the main loop in the main algorithm.  
         [0029]      FIG. 4  illustrates the object node UML diagram of  FIG. 3  after simplification processing according to the present invention. As can be seen, the number of intersecting connectors has been greatly reduced relative to the configuration of  FIG. 4  as has the total length of all connectors. Furthermore, it is clear that the displayed configuration is much simpler to read. However, additional simplification may be required, such as for example, removing connectors crossing objects or overlapping connectors. Such configuration, however, readily lends itself to easy manual manipulation by a user, and in fact provides for a quicker and simpler manual reconfiguration by a user, if deemed necessary, than the prior configuration ( FIG. 3 ).  FIG. 5  illustrates an example of the configuration of  FIG. 4  after minor manual manipulation of connectors by a user.  
         [0030]     While the invention has been described by way of example and in terms of the specific embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. To the contrary, it is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.