JP2010198529A - Method and apparatus for roughly estimating actually used amount of system memory - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method, apparatus and program for roughly estimating a used amount of memory in an actual system, which can estimate the used amount of memory with use of a modeling language before building an actual system environment. <P>SOLUTION: The apparatus for roughly estimating an actually used amount of system memory has a modeling tool 100, and an operational environment 200. Moreover, the apparatus includes a modeling means for producing a model with the modeling language, and a simulation execution means 104 for executing simulation of the produced model, and roughly estimates the used amount of memory without coding. The apparatus further includes a memory used amount information collecting-and-storing means that divides processing, which cannot be simulated only with the model, into minimum processing units to collect and store the information about the used amount of memory. The modeling means includes a platform non-depending model producing means 101, a platform specialized model producing means 102, and a source code producing means 103. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an actual system memory usage estimation method and apparatus in an information processing system using a computer, and more particularly to an actual system memory usage estimation method, apparatus, and program using a modeling language.

  Conventionally, there is a method described in Patent Documents 1 and 2 as a method for estimating the amount of system memory usage of this type.

  Patent Document 1 relates to an on-vehicle electronic control device, a CPU that executes a program, an input process from sensors based on a command from the CPU, an output process for actuators, an input process with a program rewriting device, and an actuator. A program and data for output processing and CPU calculation processing are stored, and a storage device is provided that is divided into a plurality of storage blocks and stores various programs for each storage block. Each storage block of the storage device stores a flag indicating whether the program or data is good or bad. This flag is written after the program has been written to the storage block and the program has been verified to determine whether it is acceptable.

  Further, Patent Document 2 relates to an object-oriented evaluation apparatus, analyzes object-oriented design information that defines a class structure, and uses the execution environment information registered in advance for each execution environment to predict the memory usage used in the class. An equation is derived, and an analysis / prediction equation deriving unit is provided.

In the conventional system construction, the memory usage of the system cannot be measured unless the actual operation environment is constructed. Therefore, it is necessary to optimize the program after the system environment construction. Since optimization of the system involves modifying the source code, it is necessary to modify the specifications corresponding to the changed part, and the amount of modification is large, which is not easy. In addition, there was a problem that bugs are likely to occur because the source code is modified.

JP 2001-84134 A JP 2002-73380 A

  So far, in system development, the amount of memory used by the system is measured at the time of execution. Therefore, it has been necessary for the designer to estimate how much memory is used at the time of design by a unique method.

  In addition, if there is a change in specifications, middleware such as OS or server software, or the version of the library being used, measure the memory usage again after correcting the source code, compiling, deploying, etc. Had to do.

  For this reason, optimization of memory usage is performed after confirming the system operation. If there is a problem with memory usage, the optimization of the program accompanying tuning of system setting items or version upgrade is possible. Was necessary.

  Further, when the source code is modified along with the optimization, the design document needs to be modified, so that the modification cost is increased.

  Therefore, a technical problem of the present invention is to provide an actual system memory usage estimation method, apparatus, and program using a modeling language that can calculate the memory usage before constructing an actual system environment.

  According to the present invention, there is provided a real system comprising a modeling stage for creating a model by a modeling language and a simulation execution stage for simulating the created model, and calculating an approximate memory usage without coding A memory usage estimation method is obtained.

  According to the present invention, in the real system memory usage estimation method, further, memory usage information for collecting and storing memory usage information by dividing a process that cannot be simulated by the model alone into minimum processing units. A storage step, and the simulation execution step performs simulation processing of the model while referring to information on the memory usage, and for each activity that is a system processing arranged in time series in the simulation processing. By recording the memory usage to be used, an actual system memory usage estimation method can be obtained, characterized in that an approximation of the memory usage is calculated without coding.

  According to the present invention, the real system memory usage estimation method includes a modeling process and an operational environment process, and the operational environment process operates a process that cannot be simulated in the operational environment to reduce the memory usage. Including a monitoring stage to be acquired, and the modeling process includes a platform independent model creation stage for creating an analysis model and a design model of a system using a modeling language in a system analysis and design process, and a created platform independent model A platform-specific model creation stage that creates a platform-specific model using platform information including language information and mapping information, and is described in the target language based on the language information from the platform-specific model. Create source code A basic template extraction stage in which a code creation stage, a process that cannot be simulated only by the platform specific model information is divided into minimum processing units and extracted as a platform independent model basic template, and monitoring results and monitoring obtained by monitoring An operation information storage step for storing operation information combined with mapping information describing environment information of the environment, and the simulation execution step, wherein the modeling step includes the platform-independent model creation step, the platform Including a specialized model creation step and a source code creation step, wherein the memory usage information collection and storage step comprises the basic template extraction step, the monitoring step, and the operation information storage step, and the simulation ® down execution stage, the platform-specific model, the actual system memory usage amount approximating method characterized by performing pseudo obtained based on the operation information.

  Also, according to the present invention, in the actual system memory usage estimation method, the monitoring step uses the mapping file suitable for the operation environment in which a test created in advance is easy to perform, and the platform independent model basics Create platform-specific model basic template from template, generate source code and execution file, monitor operation using input data for operation confirmation, and the simulation execution stage is included in platform-specific model Dynamic information is used to simulate program operations and the data handled at runtime is set by the input data for the actual system. Based on this, the operation is determined and the amount of memory used for actual operation is calculated. Real system memory usage Calculation method is obtained.

  In addition, according to the present invention, it is characterized by comprising modeling means for creating a model by a modeling language and simulation execution means for simulating the created model, and calculating an approximate amount of memory usage without coding. A real system memory usage estimation device is obtained.

  Further, according to the present invention, in the real system memory usage estimation device, memory usage information collection storage that collects and stores memory usage information by dividing a process that cannot be simulated only by the model into minimum processing units. The simulation execution means performs simulation processing of the model while referring to information on the amount of memory used, and is used for each activity that is a system processing arranged in chronological order in the simulation processing. An apparatus for estimating the actual system memory usage, which records the memory usage, is obtained.

According to the present invention, the actual system memory usage estimation device includes a modeling tool and an operating environment, and the operating environment acquires a memory usage by operating a process that cannot be simulated in the operating environment. The modeling tool includes a platform independent model creating means for creating a system analysis model and a design model using a modeling language in a system analysis and design process, and the created platform independent model and language. Platform-specific model creating means for creating a platform-specific model using platform information including information and mapping information, and a source described in the target language from the platform-specific model based on the language information Source code to create code And de creation unit, and the base template extracting unit operable to divide the process is can not be simulated by information platform-specific model the minimum processing unit, and extracts as a platform-independent model base template,
Operation information storage means for storing operation information combining the monitoring results obtained by monitoring and mapping information in which the environment information of the monitoring environment is described, and the simulation execution means, the modeling means, The platform-independent model creation means, the platform-specific model creation means, and the source code creation means, the memory usage information collection storage means, the basic template extraction means, the monitoring means, and the operation information storage And a simulation execution unit that executes the platform-specific model in a pseudo manner based on the operation information.

  Further, according to the present invention, in the actual system memory usage estimation device, the monitoring means uses the mapping file suitable for the operation environment in which a test created in advance is easy to perform, and the platform independent model basic Create a platform-specific model basic template from the template, generate source code and executable files, monitor the operation using input data for operation confirmation, and the simulation execution means is included in the platform-specific model Dynamic information is used to simulate program operations and the data handled at runtime is set by the input data for the actual system. Based on this, the operation is determined and the amount of memory used for actual operation is calculated. Real system memory usage Calculation device is obtained.

  Further, according to the present invention, the computer is caused to function to calculate an approximate memory usage without coding as a modeling means for creating a model in a modeling language and a simulation execution means for simulating the created model. A real system memory usage estimation program is obtained.

  According to the present invention, in the real system memory usage estimation program, the computer further divides processing that cannot be simulated by the model alone into minimum processing units, and collects and stores memory usage information. The simulation execution means is a system process arranged in time series order in the simulation process while performing the simulation process of the model while referring to the usage amount information of the memory. A real system memory usage estimation program is obtained, which functions to record the memory usage used for each activity.

  Further, according to the present invention, in the actual system memory usage estimation program, the computer further functions as a modeling tool and an operating environment, and the operating environment operates a process that cannot be simulated in the operating environment to use the memory. The modeling tool functions as a monitoring means for acquiring a quantity, and the modeling tool uses a modeling language in a system analysis and design process to create a system independent model and a design model, and a created platform Platform-specific model creation means for creating a platform-specific model using an independent model, platform information including language information, and mapping information, and a target language based on the language information from the platform-specific model Source code creation means for creating the described source code, basic template extraction means for dividing a process that cannot be simulated only by the information of the platform specific model into the minimum processing units, and extracting it as a platform independent model basic template, and monitoring Function information storage means for storing operation information combining the monitoring results obtained and the mapping information in which the environment information of the monitoring environment is described, and function as the simulation execution means, and the modeling means It functions as a platform-independent model creation means, the platform-specific model creation means, and the source code creation means, and the memory usage information collection storage means includes the basic template extraction means, the monitoring means , And the operation information storage means, wherein the simulation execution means functions to execute the platform specific model in a pseudo manner based on the operation information. A program is obtained.

  Further, according to the present invention, in the actual system memory usage estimation program, the monitoring means uses the mapping file suitable for the operation environment in which a test created in advance is easy to perform, and the platform independent model basic A platform-specific model basic template is created from the template, source code and an execution file are generated, operation monitoring is performed using input data for operation confirmation, and the simulation execution means is a platform The dynamic information contained in the specialized model is used to simulate the operation of the program and the data handled at the time of execution is set by the input data for the actual system. Based on this, the operation is determined and used at the actual operation It functions to calculate memory usage. Real system memory usage estimate program that is obtained.

  According to the present invention, it is possible to provide a real system memory usage estimation method, apparatus, and program capable of calculating a memory usage before constructing a real system environment by performing a simulation and calculating a memory usage. it can.

  In addition, according to the present invention, a modeling language can be used at the design / analysis stage to calculate the memory usage of the system, and it is not necessary to perform coding. It is possible to provide an actual system memory usage estimation method, apparatus, and program using a modeling language capable of optimizing system memory usage.

1 is an overall view of a system according to an embodiment of the present invention. It is the figure which paid its attention to the flow of the simulation execution means of the system by embodiment of this invention. It is the figure which paid its attention to the flow of the operation | movement information acquisition means of the system by embodiment of this invention. It is a figure which shows the example of the data which the system by embodiment of this invention utilizes. (A) And (b) is a flowchart figure which shows operation | movement of the system by embodiment of this invention. FIG. 5 is a diagram showing detailed information when a system is simulated according to an embodiment of the present invention, where (a) shows dynamic information, (b) shows static information, and (c) shows simulation results and memory usage information. ing. (A), (b) and (c) is a figure which shows the flowchart which shows the operation | movement at the time of the simulation execution of the system by embodiment of this invention. (A), (b), (c), (d), (e), (f) are diagrams showing the flow of simulation in the case of UML, (a) is a sequence diagram of dynamic information, (b) Is a diagram showing static information, (c) is a diagram showing mapping information, (d) is a diagram showing input data for a real system, (e) a simulation result, and (f) a diagram showing memory usage information.

  Hereinafter, the configuration of a system according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is an overall view of a system according to an embodiment of the present invention. FIG. 2 is a diagram focusing on the flow of the simulation execution means of the system according to the embodiment of the present invention.

  FIG. 3 is a diagram focusing on the flow of operation information acquisition means of the system according to the embodiment of the present invention. FIG. 4 is a diagram showing an example of data used by the system according to the embodiment of the present invention.

  Referring to FIG. 1, in the present invention, when developing a system having a program used in an information processing apparatus such as a computer, a model diagram 111 created in an analysis and design process using a modeling language and an actual system construction are shown. By using the platform information 113 such as middleware, implementation language, and OS, the memory usage of the system is estimated in the design process, and support for designing an optimum configuration is provided.

  Further, the present invention will be described more specifically with reference to FIG.

  The actual system memory usage estimation system according to the embodiment of the present invention includes a modeling tool 100 and an operation environment 200.

  The system of FIG. 1 can be largely divided into FIG. 2 or FIG. 3 depending on the function to be used.

  The modeling tool 100 includes a platform independent model (PIM) creating unit 101, a platform specific model (PSM) creating unit 102, a source code creating unit 103, a simulation executing unit 104, a basic template extracting unit 106, a monitoring Means 105 and operation information storage means 107.

  Each of these means generally operates as follows.

  The platform-independent model creation means 101 is a means for creating a system analysis model diagram and a design model diagram using a modeling language in the system analysis and design process. The model diagram drawn by the platform independent model 110 is described using a standardized modeling language. The model diagram of this process does not include information depending on the execution environment and language, and describes the model analyzed in the target domain. The created model diagram contains at least one of static information (program structure and data structure information) and dynamic information (flow diagram and algorithm that operates in time series). To do. In order to use the functions described in the present invention, a diagram describing dynamic information is required.

  The platform-specific model creating unit 102 is a unit that creates the platform-specific model 111 using the created platform-independent model, platform information 113 (language information, environment information, etc.), and mapping information 114. In the platform-specific model, language information is used to reflect information specific to the programming language in the model diagram. Also, by using the environment information, middleware information such as the OS, the DB to be used, and the application server to be used at the time of execution is incorporated. In addition, by using the information of the framework used at the time of execution, it becomes possible to drop the processing described in general purpose into a form specialized for the framework.

  Referring to FIG. 4, examples of data used by the system according to the embodiment of the present invention include platform information (environment-dependent information (AP server 1), environment-dependent information (DB2, language information 4), mapping information 3 and the like. Has been.

  The source code creating means 103 is means for creating a source code 112 described in a target language based on the language information 4 from the platform specific model. Using a platform specific model, the data structure part is automatically generated from static information, and the source code of the logic part is automatically generated from dynamic information.

  The simulation execution means 104 is a means for executing the platform specific model in a pseudo manner. Uses dynamic information contained in a platform-specific model to simulate program behavior. Data to be handled at the time of execution is set by the actual system input data 125, and an operation is determined based on this data to calculate the amount of memory used for actual operation.

  The basic template extraction means 106 is a means for dividing a process that cannot be simulated only by platform-specific model information into minimum processing units and extracting it as a platform-independent model basic template 116. The processing that cannot be simulated only by the platform-specific model information described here is processing when detailed processing information is not described in the model diagram even though the processing is called from the model. This is the library function that is not developed. The extracted processing unit is recorded in the measurement target designation information 119.

  The platform-independent model basic template collects memory usage information through the monitoring means 105 and the operation information storage means 107.

  Platform-independent model basic templates are stored inside the tool and managed so that the same process is not duplicated.

  The monitoring unit 105 is a unit for acquiring a memory usage amount by operating a process that cannot be simulated in an operating environment. A platform-specific model basic template 118 is created from a platform-independent model basic template using a mapping file 117 tailored to the operational environment 200 in which a test created in advance is easy to implement. Thereafter, the source code 120 and the execution file 121 are generated, and the operation is monitored using the input data 122 for operation confirmation.

  The operation information storage unit 107 is a unit for storing the monitoring result 123 obtained by monitoring and the mapping information 117 in which the environment information of the monitoring environment is described together.

  In order to make the value of the simulation result information accurate, it is also possible to calculate a statistical value using the value of operation information obtained using a plurality of mapping information.

  Next, the operation of the system according to the embodiment of the present invention will be described in detail with reference to the flowchart of FIG. FIGS. 5A and 5B are flowcharts showing the operation of the system according to the embodiment of the present invention.

  With reference to FIG. 5A, first, a platform-independent model is created according to the requirements (step SA1). The platform-independent model is a model diagram that does not depend on the implementation language or the operating environment. General modeling support tools such as a BPEL (Business Process Execution Language) design support tool and a UML (Unified Modeling Language) creation support tool can be used as means for realizing creation of a platform-independent model.

  Next, it is determined whether mapping information has been created (step SA2).

  If it is not set, it is set (step SA3). Next, it is determined whether or not platform information is set (step SA4). If it is not set, it is set (step SA5).

  If the setting information is not set, the user sets platform-dependent information (language information and execution environment information) of the system to be built before creating the platform specific model.

  A platform-specific model is automatically generated based on the set platform-dependent information (step SA6). Further, the source file (source code) is automatically regenerated (step SA7). These processes can be realized by a tool for realizing MDA (Model-Driven Architecture). At the same time, the platform) independent model basic template and measurement target designation information are extracted (step SA8).

  Next, before performing the simulation, it is determined whether or not the operation information is set (step SA9). If the operation information is not set, it is determined whether or not the operation information is set (step SA10). If the operation information is to be performed by itself, the operation information is set (SA11). If a rough value can be set, set it manually.

  If it cannot be set, operation information is acquired (step SA12).

  That is, as shown in FIG. 5B, when automatically calculating, an environment to be operated is prepared, and mapping information according to the environment is described. A platform-specific model basic template is created from the platform-independent model basic template based on the created mapping file (step SB1). Further, a source code is generated using the platform-specific model basic template and the measurement target designation information (step SB2). In this source code, in addition to the processing described in the normal platform specific model basic template based on the measurement target designation information, processing necessary for monitoring is added. After the execution file is generated based on the source file (step SB3), it is executed in the operating environment, input data is set (step SB4), and monitoring is performed (step SB5). The monitored result is output as the monitoring result. Using the output monitoring result and mapping information, operation information is set and stored (step SB6).

  Returning to FIG. 5A, the actual system input data is set before the simulation is performed (step SA13). A simulation is performed based on the operation information and actual system input data (step SA14).

  FIG. 6 is a diagram showing detailed information at the time of executing the simulation of the system according to the embodiment of the present invention, and FIG. 7 is a flowchart showing the operation at the time of executing the simulation of the system according to the embodiment of the present invention.

  Referring to FIG. 6, FIG. 6A shows dynamic information, FIG. 6B shows static information, and FIG. 6C shows simulation results and memory usage information.

  Referring to FIGS. 7A, 7B, and 7C, the model diagram used at the time of the simulation expresses the processing in time series, and the start to the end can be expressed by one tree structure. .

  Here, in the present invention, the operation of the system described in the model is called an activity, and in activities arranged in chronological order, one executed first is called a parent activity, and one executed later is called a child activity. Depending on the language, activities that are executed in parallel rather than in time series are called sibling activities.

  In the simulation, the memory usage is calculated by sequentially searching the tree-structured data. The priority of analysis of the child activity and the sibling activity is determined based on the dependency of each activity. If a child activity expects all sibling activities to be executed, the sibling activity must take precedence.

  Referring to FIG. 7A, when simulation is started, PSM dynamic information is read (step SA71), an activity is set (step SA72), and an activity process is executed (step SA73).

  Referring to FIG. 7C, when the execution of the activity process is started, the activity is read from the start point (step SC1) and executed. Specifically, when the activity is executed, an area for recording the memory usage is secured (step SC2), it is determined whether the process can be executed (step SC3), and if the process is possible, the activity is selected. It is executed (step SC4), and it is determined whether or not external data is necessary. If external data is required, input data is read (step SC6) and memory usage information is recorded (step SC6). If not necessary, memory usage information is directly recorded (step SC6). Next, it is determined whether or not a variable is created (step SC8).

  If a variable is created, variable creation processing is executed (step SC9).

  When a variable is created in an activity, the variable to be generated and the structure of the variable being used are checked from static information, and the amount of memory used is calculated by mapping it with language information.

  Specifically, as shown in FIG. 7B, when execution of the variable creation process is started, the data structure of the variable is read from the sexual information (step SB71), and the number of used bytes is read from the language information (step SB71). SB72) and memory usage information is recorded (step SB73). The amount of memory used for each activity is recorded.

  If an activity that cannot be simulated, such as library call, is executed, that is, if “No” in step SC3, the operation information is used (the operation information is read (step SC4 ′) and the memory is used). The amount information is recorded (step SC5 '), and the amount of memory used when the system is executed is calculated by using each piece of information in this way.

  As an example, the flow of simulation in the case of UML as shown in FIG. 8 is shown.

  As shown in FIG. 8A, the system first performs mapping with platform information using the mapping information shown in FIG.

  [1] First, the system executes an action () activity using PSM. At this time, since input from the outside is required, the actual system input data information shown in FIG. 8D is read and the corresponding value is set.

  When the action () activity is executed, the system secures a storage area for recording information on memory usage. Since the action () activity uses String and int as arguments, the memory usage used from the language information shown in FIG. 8C is acquired and recorded in the memory usage information shown in FIG. .

  Next, since B [] is declared in the action () activity, the memory usage to be used is acquired from the language information shown in FIG.

  Similarly, information is acquired from the language information shown in FIG. 8C when the memory such as the declaration of i at the time of loop in FIG. 8A and the parameters at the time of generating the object B is used, and the memory shown in FIG. Write to the usage information table.

  [2] When generating the object B, the required memory amount is calculated using the static information shown in FIG. When the simulations of the activities [3] and [4] are finished, the memory usage in the scope is totaled and recorded in the simulation result shown in FIG.

  Returning to FIG. 7C, the total memory usage in the scope is calculated (step SC10), and whether there is a child activity (hereinafter simply referred to as a child) or a sibling activity (hereinafter simply referred to as a sibling). Is determined (step SC11), and if there are no children and siblings, the process ends. On the other hand, if there are children or brothers, it is determined again whether there are children or brothers (step SC12). If there are no children or siblings, an activity is set (step SC14), an activity process is executed (step SC15), and the process returns to step S11. If there are children or siblings in step SC12, the priority of the children and siblings is determined (step SC13), and then step SC14 is performed.

  In the embodiment of the present invention described above, the memory usage can be calculated before the real system environment is constructed in order to perform simulation and calculate the memory usage.

  In the embodiment of the present invention, a modeling language can be used at the design and analysis stage to calculate the memory usage of the system, and since there is no need to perform coding, the modeling language is used. System memory usage can be optimized without coding.

  As described above, the actual system memory usage estimation method, apparatus, and program according to the present invention can be applied to the calculation of memory usage for system development that can perform modeling in a modeling language.

  Specifically, it is applied to analysis and design using UML in object-oriented development using Java (registered trademark), C # language, etc., and analysis and design using business process modeling languages such as WS-BPEL and BPMN. Is done.

1 Environment-dependent information (AP server)
2 Environment-dependent information (database)
3 mapping information 4 language information 100 modeling tool 101 platform independent model (PIM) creation means 102 platform specific model (PSM) creation means 103 source code creation means 104 simulation execution means 105 monitoring means 106 basic template extraction means 107 operation information Preservation means 111 Platform-specific model (model diagram)
112 Source code 113 Platform information 114 Mapping information 116 Platform independent model basic template 117 Mapping file (information)
118 Platform Specific Model Basic Template 119 Measurement Target Specification Information 120 Source Code 121 Executable File 122 Input Data 123 Monitoring Result 125 Input Data for Real System 200 Operating Environment

Claims (12)

  An actual system memory usage estimation method comprising: a modeling stage for creating a model by a modeling language; and a simulation execution stage for simulating the created model, and calculating an estimation of memory usage without coding.   2. The memory usage information collecting and storing step of collecting and storing memory usage information by dividing a process that cannot be simulated by the model alone into minimum processing units, according to the method for estimating the actual system memory usage according to claim 1. The simulation execution stage performs simulation processing of the model while referring to information on the amount of memory used, and is used for each activity that is a system process arranged in chronological order in the simulation processing. An actual system memory usage estimation method characterized by recording memory usage. The real system memory usage estimation method according to claim 2, comprising a modeling process and an operational environment process,
The operational environment process includes a monitoring step of acquiring memory usage by operating a process that cannot be simulated in the operational environment,
The modeling process includes
A platform-independent model creation stage for creating a system analysis model and a design model using a modeling language in the system analysis and design process;
A platform-specific model creation stage for creating a platform-specific model using the created platform-independent model, platform information including language information, and mapping information;
A source code creation stage for creating a source code described in a target language based on the language information from the platform-specific model;
A basic template extraction step of dividing a process that cannot be simulated only by information of the platform-specific model into minimum processing units and extracting it as a platform-independent model basic template;
An operation information storage stage for storing operation information in which monitoring results obtained by monitoring and mapping information in which environment information of the monitoring environment is described are stored;
Including the simulation execution step,
The modeling stage includes the platform-independent model creation stage, the platform-specific model creation stage, and the source code creation stage,
The memory usage information collection storage step includes the basic template extraction step, the monitoring step, and the operation information storage step,
In the simulation execution step, the platform specific model is executed in a pseudo manner based on the operation information. 4. The actual system memory usage estimation method according to claim 3, wherein the monitoring step uses a platform-independent model basic template from a platform-independent model basic template using a mapping file that is prepared in advance and is easy to perform a test. Create a specialized model basic template, generate source code and execution file, use the input data for operation confirmation, monitor the operation,
The simulation execution stage uses dynamic information included in the platform-specific model to simulate the operation of the program and the data handled at the time of execution is set by the input data for the actual system, and the operation is determined based on this And calculating the amount of memory used for actual operation, and calculating the amount of memory used for actual system.   An actual system memory usage estimation device comprising: modeling means for creating a model by a modeling language; and simulation execution means for simulating the created model, and calculating an estimation of memory usage without coding. In the real system memory usage estimation device according to claim 5,
Memory usage information collection and storage means for collecting and storing memory usage information by dividing a process that cannot be simulated by the model alone into minimum processing units, and the simulation executing means includes information on the memory usage. An actual system memory usage estimation device that performs simulation processing of the model and records the memory usage used for each activity that is a system processing arranged in chronological order in the simulation processing. . The real system memory usage estimation device according to claim 6, comprising a modeling tool and an operating environment,
The operational environment includes a monitoring unit that obtains memory usage by operating a process that cannot be simulated in the operational environment,
The modeling tool is:
A platform-independent model creation means for creating a system analysis model and a design model using a modeling language in a system analysis and design process;
Platform-specific model creation means for creating a platform-specific model using the created platform-independent model, platform information including language information, and mapping information;
Source code creating means for creating a source code described in a target language based on the language information from the platform-specific model;
Basic template extraction means for dividing a process that cannot be simulated only by the information of the platform specific model into minimum processing units and extracting it as a platform independent model basic template;
Operation information storage means for storing operation information combining monitoring results obtained by monitoring and mapping information describing environment information of the monitoring environment;
The simulation execution means,
The modeling means includes the platform-independent model creation means, the platform-specific model creation means, and the source code creation means,
The memory usage information collection storage means comprises the basic template extraction means, the monitoring means, and the operation information storage means,
The simulation execution means executes the platform specific model in a pseudo manner on the basis of the operation information.   8. The actual system memory usage estimation device according to claim 7, wherein the monitoring means uses a mapping file suitable for the operation environment in which a test created in advance is easy to perform, and uses the platform-independent model basic template as a platform. Create a specialized model basic template, generate source code and execution file, monitor the operation using the input data for operation confirmation, and the simulation execution means is a dynamic model included in the platform specialized model Data is used to simulate program operations and data handled at runtime is set by actual system input data. Based on this, the operation is determined and the amount of memory used for actual operation is calculated. Real system memory usage estimation device.   Real system memory usage estimation program for causing a computer to function to calculate an estimation of memory usage without coding as a modeling means for creating a model by a modeling language and a simulation execution means for simulating the created model .   10. The real system memory usage estimation program according to claim 9, further comprising: dividing a process that cannot be simulated by the model alone into minimum processing units to collect and store memory usage information. The simulation execution means functions as information collection and storage means, and performs simulation processing of the model while referring to information on the memory usage, and for each activity that is processing of the system arranged in chronological order in the simulation processing An actual system memory usage estimation program, which functions to record the memory usage used for the system. The actual system memory usage estimation program according to claim 10, further causing a computer to function as a modeling tool and an operating environment,
The operational environment operates a process that cannot be simulated in the operational environment, and functions as a monitoring unit that acquires memory usage,
The modeling tool includes platform-independent model creation means for creating a system analysis model and a design model using a modeling language in a system analysis and design process, platform information including the created platform-independent model and language information. And platform-specific model creation means for creating a platform-specific model using mapping information, and a source for creating a source code described in the target language from the platform-specific model based on the language information Code generation means, basic template extraction means for dividing a process that cannot be simulated only by the information of the platform-specific model into minimum processing units and extracting it as a platform-independent model basic template, and obtained by monitoring Monitoring results and the operation information storage means for storing operation information environment information is combined mapping information described monitoring environment, to function as the simulation execution unit,
The modeling means functions as the platform-independent model creation means, the platform-specific model creation means, and the source code creation means,
The memory usage information collection storage means functions as the basic template extraction means, the monitoring means, and the operation information storage means,
The simulation execution means functions so as to execute the platform-specific model in a pseudo manner based on the operation information.   12. The actual system memory usage estimation program according to claim 11, wherein the monitoring means uses a mapping file suitable for the operation environment in which a test created in advance is easy to implement, to create a platform from the platform-independent model basic template. A specialized model basic template is created, source code and an executable file are generated, operation monitoring is performed using input data for operation confirmation, and the simulation execution means is a platform specialized model. The amount of memory used to simulate the operation of the program using the dynamic information contained in, and the data handled at the time of execution is set by the input data for the actual system, and the operation is determined based on this data for actual operation Characterized by functioning to calculate System memory use amount approximating program.

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