USRE41903E1 - Systems and methods for recording and visually recreating sessions in a client-server environment - Google Patents
Systems and methods for recording and visually recreating sessions in a client-server environment Download PDFInfo
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- USRE41903E1 USRE41903E1 US11/247,001 US24700105A USRE41903E US RE41903 E1 USRE41903 E1 US RE41903E1 US 24700105 A US24700105 A US 24700105A US RE41903 E USRE41903 E US RE41903E
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/323—Visualisation of programs or trace data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3414—Workload generation, e.g. scripts, playback
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3495—Performance evaluation by tracing or monitoring for systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/366—Software debugging using diagnostics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3664—Environments for testing or debugging software
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/875—Monitoring of systems including the internet
Definitions
- the present invention relates to a system and method for auditing network applications. More particularly, the present invention relates to a system and method for visually recreating a user session to analyze various aspects of the network application.
- a client requests information from a server.
- the server provides information to the client.
- a typical server may be responding to several hundred clients at one time, while the client may access several servers intermittently and over a very short period of time.
- problems associated with the application are difficult to isolate, repeat, and/or diagnose. Furthermore, such problems are difficult to attribute to either the server or the client.
- the present invention is directed to a system and method for auditing network applications.
- the present invention captures requests and responses sent between a client and a server during a particular user session of a network application.
- the present invention stores the requests and responses in an auditor storage. Subsequently, the present invention retrieves the requests and responses from the auditor storage to visually recreate the user session.
- One of the features of the present invention is that an analyst is able to retrieve a particular user session from the auditor storage and step through a particular user session thereby viewing the user session as the client viewed the user session. This enables the analyst to understand the sequence of events that occurred during a particular user session exactly as they occurred.
- Another feature of the present invention is that the analyst can determine the exact sequence of events that occurred prior to an error occurring in the network application.
- the present invention stores information describing the client/server environment during the user session so that the analyst may be able to attribute certain errors to loading or traffic on the server or the communication link.
- Another feature of the present invention is that the analyst can view data associated with multiple user sessions to analyze how different clients navigated through a particular website. Such analysis is useful to determine how particular websites might be improved to achieve a particular result.
- OLAP analysis can be used, for example, to provide better response times to clients who routinely purchase by shifting them to a faster application server.
- clients who routinely purchase could also be offered a direct path to a particular location in the website thereby avoiding the path through the website provided to other clients.
- the analyst can ascertain the value of advertising on the website by viewing the number of purchases before and after such advertising.
- FIG. 1 illustrates an embodiment of the present invention capturing session data in a client/server environment
- FIG. 2 illustrates an embodiment of the present invention analyzing captured session data in an auditing environment
- FIG. 3 is a flowchart that illustrates the operation of one embodiment of the present invention as it captures session data
- FIG. 4 is a flowchart that illustrates the operation of one embodiment of the present invention as it visually recreates a user session
- FIG. 5 is a flowchart that illustrates the operation of a preferred embodiment of the present invention as it performs the step of recreating and visually displaying the dynamically generated screen;
- FIG. 6 illustrates an analyzer according to a preferred embodiment of the present invention in further detail
- FIG. 7 illustrates an analyze module according to a preferred embodiment of the present invention in further detail
- FIG. 8 is a flowchart that illustrates the step of storing data in auditor storage according to one embodiment of the present invention.
- FIG. 9 illustrates a star structure for storing OLAP data for an internet based environment according to one embodiment of the present invention.
- FIG. 10 illustrates a star structure for storing OLAP data for an SAP R/3 environment according to one embodiment of the present invention
- FIG. 11 illustrates a viewer table data structure for an internet based environment according to one embodiment of the present invention
- FIG. 12 illustrates a viewer table data structure for an SAP R/3 environment according to one embodiment of the present invention.
- FIG. 13 illustrates a dimension buffer data structure according to one embodiment of the present invention.
- a client 110 communicates with a server environment 140 through a communication link 125 .
- server environment 140 may comprise a single network server or several servers acting in conjunction with one another.
- a particular set of related communications between client 110 and server environment 140 is referred to as a user session 130 .
- User session 130 includes a series of requests 134 made by client 110 to server environment 140 , and a series of responses 132 from server environment 140 to client 110 in response to requests 134 .
- a particular request 134 and its associated response 132 is referred to herein as a hit 135 or alternatively as a request/response pair.
- client 110 may access server environment 140 in any of several manners, as is known in the art.
- Client 110 accesses server environment 140 through a dynamically generated screen 120 which displays information to client 110 from server environment 140 for a particular network application. Based on requests 134 and responses 132 , server environment 140 provides information to update dynamically generated screen 120 .
- dynamically generated screen 120 is generated by a work station (not shown) of client 110 based on information included in response 132 from server environment 140 .
- dynamically generated screen 120 is generated by the work station based on a response 132 that includes a markup language such as HTML, XML, SGML, etc., used in various client/server environments 100 .
- dynamically generated screen 120 is generated by a work station of client 110 based on a response 132 that includes information compatible with formats utilized in a dedicated on-line environment such as a SAP R/3 environment.
- client/server environment 100 operating in an Internet or Web-based environment.
- server environment 140 such as in the SAP R/3 environment. It will be apparent to one skilled in the art how the following discussion applies to such hardwired or “dedicated” systems.
- an auditor capture filter 150 monitors communication link 125 to capture communications (i.e., requests 134 and responses 132 ) between client 110 and server environment 140 .
- auditor capture filter 150 captures request 134 from client 110 to server environment 140 and captures response 132 from server environment 140 to client 110 .
- auditor capture filter 150 captures request 134 from communication link 125 after server environment 140 has received request 134 but before server environment 140 has processed request 134 .
- auditor capture filter 150 captures response 132 after server environment 140 has processed request 134 and determined response 132 but prior to server environment 140 sending response 132 . It should be understood that the capturing function of a preferred auditor capture filter 150 does not interfere with or interrupt communication between client 100 and server environment 140 .
- server environment 140 would include the necessary modifications to provide auditor capture filter 150 with access to requests 134 and responses 132 .
- server environment 140 would provide auditor capture filter 150 with the necessary hooks to the session data as would be apparent.
- auditor capture filter 150 captures requests 134 and responses 132 with the cooperation and possibly the active participation of server environment 140 .
- auditor capture filter 150 would not require the modifications to server environment 140 discussed above. In this alternate embodiment of the present invention, auditor capture filter 150 would capture requests 134 and responses 132 directly from communication link 125 and server environment 140 would function without regard to the presence of auditor capture filter 150 .
- Auditor capture filter 150 stores captured request 134 and captured response 132 in an auditor storage 160 .
- captured request 134 and captured response 132 are stored as a hit 135 .
- Auditor storage 160 includes a storage device such as a disk drive, a RAM, a database or other such memory device as would be apparent.
- auditor storage 160 stores all hits 135 in a particular user session 130 as stored hits 175 in a stored user session 170 .
- the series of captured requests 134 and captured responses 132 that comprise a particular user session 130 are stored collectively as stored user session 170 .
- user session 130 is conducted over an Internet.
- client 110 and server environment 140 are not in active communication (i.e., they are effectively disconnected).
- a unique session identification also referred herein as a state identification
- the session identification is sent with each request 134 to uniquely determine the user context.
- server environment 140 is able to handle client 110 over the Internet as if client 110 was continuously connected to server environment 140 .
- client 10 and server environment 140 are continuously connected via dedicated communication link 125 .
- a session identification is not necessary for each request 134 ; rather, the session identification is implicit in each transmission between client 110 and server environment 140 as a result of the dedicated communication link 125 .
- an analyzer 220 enables an analyst 210 to analyze user session 170 .
- analyst 210 may evaluate user session 170 to determine how client 10 moves through a particular network application to achieve a particular result.
- Such evaluation is useful, for example, in commercial or e-commerce Internet applications.
- application developers are interested in understanding how a client 110 navigates through a particular application to arrive at a particular result, such as a purchase.
- the present invention permits analyst 210 to evaluate the particular application for different clients 110 , at different times, etc.
- analyst 210 may evaluate user session 170 to isolate errors that occurred during user session 130 .
- analyst 210 can recreate the entire user session 130 in an effort to identify and isolate a problem with a particular network application.
- analyst 210 uses analyzer 220 to access auditor storage 160 .
- analyst 210 is able to access a particular user session 170 and visually recreate it.
- analyst 210 is able to step through the particular user session 170 and individually evaluate each request 134 and each response 132 as it occurred during user session 170 .
- analyzer 220 visually recreates user session 170 by generating the various screens 120 that were presented to client 110 by server environment 140 during user session 130 . In this manner, analyst 210 is able to view the identical screens 120 that client 110 viewed during user session 130 .
- Analyst 210 is also able to evaluate any request made by client 110 and evaluate any subsequent response 132 of server environment 140 .
- analyst 210 may evaluate user session 130 off-line, that is, after user session 170 is complete, or in near real-time, that is, while user session 170 is occurring.
- analyzer 220 may retrieve hits 175 from auditor storage 160 or directly from auditor capture filter 150 (thereby by passing auditor storage 160 ).
- FIG. 3 is a flowchart that illustrates an operation 300 of auditor capture filter 150 as it captures requests 134 and responses 132 during user session 130 according to one embodiment of the present invention.
- server environment 140 receives a request 134 from client 110 .
- auditor capture filter 150 captures request 134 .
- auditor capture filter 150 captures request 134 at server environment 140 .
- auditor capture filter 150 captures request 134 from server environment 140 after server environment 140 receives request 134 but prior to server environment 140 processing request 134 .
- server environment 140 may pass request 134 to auditor capture filter 150 as would be apparent.
- auditor capture filter 150 may be passed to auditor capture filter 150 as would be apparent.
- other mechanisms exist that permit auditor capture filter 150 to gain access to request 134 as would be apparent.
- the capture of request 134 does not interfere with or interrupt communication between client 110 and server environment 140 .
- auditor capture filter 150 captures request 134 directly from communication fink 125 without cooperation from or participation with server environment 140 .
- capturing request 134 includes capturing or determining particular environmental data (not shown) associated with client 110 and server environment 140 at or about the time request 134 was sent or captured.
- This environmental data includes parameters such as loading, traffic volume, status, or other such information available on communication link 125 and well known in client/server environment 100 .
- the environmental data permits analyzer 220 to evaluate the effect of client/server environment 100 on a particular user session 170 .
- server environment 140 determines a response 132 to request 134 from client 110 .
- server environment 140 sends response 132 to client 110 .
- auditor capture filter 150 captures response 132 from server environment 140 to client 110 .
- server environment 140 may pass response 132 to auditor capture filter 150 as would be apparent.
- auditor capture filter 150 captures response 132 directly from communication link 125 .
- capturing response 132 includes capturing environmental data associated with response 132 .
- auditor capture filter 150 stores captured request 134 and captured response 132 as a hit 175 in auditor storage 160 .
- each hit 175 (or alternately, each request/response pair) is stored in auditor storage 160 together with other hits associated with a particular user session 170 .
- auditor capture filter 150 stores captured request 134 in auditor storage 160 as soon as it is captured rather than waiting for an associated captured response 132 .
- captured request 134 and captured response 132 are stored as they are captured.
- auditor capture filter 150 captures or receives requests 134 and/or responses 132 from server environment 140 .
- auditor capture filter 150 may reside on and operate in conjunction with server environment 140 .
- software, hardware, or a combination of software and hardware associated with auditor capture filter 150 is not required at client 110 nor does client 110 require any modifications to the hardware or software residing therein.
- auditor capture filter 150 captures requests 134 and responses 132 directly from communication link.
- software, hardware, or a combination of software and hardware associated with auditor capture filter 150 is not required at either client 110 or server environment 140 .
- FIG. 4 is a flowchart that illustrates the operation 400 of analyzer 220 as it facilities the analysis of a user session 170 according to one embodiment of the present invention.
- analyzer 220 locates a particular user session 170 in auditor storage 160 .
- analyzer 220 specifies to auditor capture filter 150 a particular user session 170 that analyzer 220 wishes to analyze.
- User session 170 may be located by any number of mechanisms as would be apparent. Such mechanisms may permit analyzer to access auditor storage 160 according to the date and/or session number which correspond to a particular user session 170 sought. However, such date and session number may not always be known. Hence, analyzer 220 may include other mechanisms for locating user session 170 such as searching auditor storage 160 using key words, identifiers, etc., or any other manner of searching auditor storage 160 as would be apparent to one skilled in the art.
- analyzer 220 retrieves request 134 from auditor storage 160 . Likewise, in a step 430 , analyzer 220 retrieves response 132 corresponding to request 134 from auditor storage 160 . As discussed above, in an alternate embodiment of the present invention, analyzer 220 may retrieve request 134 and response 132 directly from auditor capture filter 150 .
- analyzer 220 when analyzer 220 retrieves request 134 and response 132 , analyzer 220 also retrieves associated environmental data that may have been stored with each request 134 and response 132 as discussed above.
- analyzer 220 uses the retrieved request and the retrieved response, and in the preferred embodiment, the retrieved environmental data associated with each, to recreate and display the dynamically generated screen 120 . In this manner, analyzer 220 is able to present to analyst 210 a dynamically generated screen 120 that is the same as that viewed by client 110 during user session 130 .
- FIG. 5 illustrates the operation of a preferred embodiment of step 440 in further detail.
- analyzer 220 analyzes the environmental data and other factors associated with retrieved request 134 and retrieved response 132 .
- analyzer 220 generates a screen based on retrieved request 134 and retrieved response 132 thereby recreating dynamically generated screen 120 .
- analyzer 220 displays the analyzed environmental data and the generated screen to analyst 210 . This permits analyst 210 to view the recreated screen in the context of the environmental factors that may have effected the particular user session 170 .
- the recreated screen is updated to reflect data entered by user 110 . This data is obtained from a subsequent request 132 from client 110 to server environment 140 in the particular user session 170 .
- Analyzer 220 includes a analyze module 620 , an analyzer database 630 , and an import module 640 .
- Import module 640 extracts meaningful information out of the raw data of user session 170 stored in auditor storage 160 for use by analyst 210 .
- import module 640 extracts information from hits 175 in user session 170 from auditor storage 160 and stores it in analyzer database 630 in a particular format unique to analyzer database 630 .
- import module 640 extracts information from hits 175 captured in an Internet environment, while for another application, import module 640 extracts information from hits 175 captured in an SAP R/3 environment.
- import module 640 can extract session data associated with a variety of clients 110 and server environments 140 and combine it into one centralized, uniform database, such as analyzer database 630 .
- subsequent analysis tools (such as analyze module 620 ) can analyze session data regardless of the format of captured hits 175 .
- the subsequent analysis tools can meaningfully compare session data obtained from different clients 110 , server environments 140 , applications, etc.
- data stored in analyzer database 630 includes pertinent data from request 132 and response 134 , and the associated environmental data.
- This data includes information associated with and derived from client 110 and server environment 140 as well as the communication protocols used, and other relevant information that would be apparent to those familiar with various network protocols.
- analyzer database 630 includes two sets of tables for each application in client/server environment 100 .
- the first tables are referred to as OLAP (“On-line Analysis Program”) analysis tables.
- the OLAP analysis tables are designed and optimized for preliminary OLAP analysis.
- the OLAP analysis tables have a star-scheme structure and are fully indexed.
- FIG. 9 illustrates a preferred embodiment for a star structure for hits captured in an Internet or Web-based environment
- FIG. 10 illustrates a preferred embodiment for a star structure for hits captured in an SAP R/3 environment.
- Session viewer/analysis tables are designed and optimized for visually recreating user session 130 and for doing session-specific analysis. Session viewer analysis tables include all of the hit information as well as information about the creation of available sessions and information extracted from the session identification.
- FIG. 11 illustrates a preferred embodiment for a viewer table for hits captured in the Internet or Web-based environment
- FIG. 12 illustrates a preferred embodiment for a viewer table for hits captured in an SAP R/3 environment.
- FIG. 13 illustrates a dimension buffer data structure according to one embodiment of the present invention.
- the dimension buffer data structure is useful for speeding OLAP analysis as would be apparent.
- import module 640 also stores information from auditor storage 160 into an archive (not shown).
- the archive is preferably a more permanent storage device.
- the information stored in the archive may be the raw data as it is stored in auditor storage 160 , or it may be data from auditor storage 160 that is stripped of extraneous information not associated with the function or operation of analyzer 220 . In either case, the information stored in archive is indexed according to the session identification number associated with each user session 130 . Because each session identification is unique and non-reputable, the archive can store user sessions 170 from a variety of sources and a variety of applications without a risk of conflict resulting in the loss of data.
- Analyze module 620 includes a global analysis module 710 and a viewer module 720 .
- Viewer module 720 includes a specific analysis module 730 , an intelligent parser 740 , and a viewer component 750 .
- Global analysis module 710 allows analyst 210 to dynamically analyze user sessions 170 stored in analyzer database 720 from various clients 110 , server environments 140 , and various applications running in client/server environment 100 .
- global analysis module 710 permits analyst 210 to analyze user sessions 170 for all clients 110 that accessed a particular site in server environment 140 .
- global analysis module 710 permits analyst 210 to analyze user sessions 170 for a particular client 110 that accessed multiple sites in different server environments 140 .
- global analysis module 710 permits analyst 210 to analyze all user sessions 170 that resulted in a purchase of goods on a particular day for all clients 110 and all server environments 140 . These are merely examples of how global analysis module 710 might access analyzer database 720 and are limited only by the information available in analyzer database 720 itself.
- Viewer module 720 is responsible for visually recreating a particular user session 130 , for performing session level analysis, and for presenting it to analyst 210 .
- viewer module 720 includes specific analysis component 730 , intelligent parser module 740 , and viewer component 750 .
- Specific analysis component 730 is responsible for constantly providing statistical information associated with a particular dynamically generated screen 120 and the environmental data associated with that screen at the lime it was generated and/or displayed to client 110 .
- specific analysis component 730 also calculates congestion in client/server environment 100 on server environment 140 or on communication link 125 at the time the screen 120 was provided to client 110 by server environment 140 .
- Viewer component 750 is responsible for physically displaying user session 170 .
- viewer component 750 provides analyst 210 with means to move through user session 170 as well as to display statistics provided by specific analysis component 720 .
- a separate viewer component 750 exists.
- viewer component 750 is comprised of a web browser.
- SAP R/3 viewer component 750 is comprised of a modified version of a front end used by SAP R/3.
- viewer component 750 comprises an appropriate .viewing program as would be apparent.
- a specific viewer component 750 is used depending on the particular client/server application.
- Intelligent parser component 740 scans analyzer database 630 to determine if it includes HTML. If so, intelligent parser component 740 will determine if the HTML has any fields in it to allow intelligent parser component 740 to securely change the value of the fields upon a subsequent user request 134 . In this manner, analyst 210 is able to view data entered by client 110 on the dynamically generated screen 120 as it occurred during user session 130 . In a preferred embodiment of the present invention, intelligent parser component 740 does not implement this functionality for password fields for security reasons, as would be apparent.
- the present invention stores all requests 134 and responses 132 that occur between client 110 and server environment 140 .
- auditor capture filter 150 may only store requests 134 and responses 132 into auditor storage 160 when a significant event occurs.
- requests 134 and responses 132 are stored in auditor storage 160 only if a purchase was completed.
- the purchase is a significant event.
- significant events may be further broken down. For example, one set of session data is stored for clients 110 that purchase $10 million or more worth of goods, while another set of session data is stored for clients 110 that purchase less than $10 million worth of goods.
- This embodiment of the present invention eliminates much of the data from auditor storage 160 associated with “surfing” or “browsing” or other insignificant events that might otherwise be stored.
- “surfing” or “browsing” data may be useful to determine usage patterns (i.e. shopping patterns) and should be stored in auditor storage 160 .
- the specific significant events that trigger the storage of session data in auditor storage 160 can vary from application to application, as would be apparent.
- requests 134 and responses 132 are preferably stored in a temporary memory until the particular significant event occurs. Once the significant event occurs, requests 134 and responses 132 would be transferred from the temporary memory into auditor storage 160 . This process of transferring requests 134 and responses 132 from temporary memory into auditor storage 160 is referred to as “committing” requests 134 and responses 132 to auditor storage 160 .
- Other mechanisms for committing the session data (i.e., requests 134 and responses 132 ) to auditor storage 160 are available as would be apparent. For example, session data could be stored in auditor 160 prior to the significant event and would be marked or otherwise indicated as being temporary or uncommitted. Once the significant event occurs, this data would be marked as committed. If the significant event does not occur, this data would be subsequently deleted or erased.
- auditor capture filter 150 stores a request/response pair in a temporary database or other temporary memory.
- auditor capture filter 150 determines whether a significant event occurred. If the significant event occurred, in a step 830 , auditor capture filter 150 commits the request/response pairs stored in the temporary database or temporary memory to auditor storage 160 . At some point, if the temporary database or temporary memory was not committed, auditor capture filter 150 would delete such temporary database or temporary memory.
Abstract
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US09/113,376 US6286030B1 (en) | 1998-07-10 | 1998-07-10 | Systems and methods for recording and visually recreating sessions in a client-server environment |
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Also Published As
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ATE219586T1 (en) | 2002-07-15 |
AU772016B2 (en) | 2004-04-08 |
EP1097428A2 (en) | 2001-05-09 |
EP1097428B1 (en) | 2002-06-19 |
CA2335125C (en) | 2007-06-05 |
WO2000003323A2 (en) | 2000-01-20 |
WO2000003323A3 (en) | 2000-04-13 |
DK1097428T3 (en) | 2002-09-16 |
IL140167A0 (en) | 2002-02-10 |
CA2335125A1 (en) | 2000-01-20 |
AU6077299A (en) | 2000-02-01 |
US6286030B1 (en) | 2001-09-04 |
DE19981276D2 (en) | 2001-06-28 |
DE59901813D1 (en) | 2002-07-25 |
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