CN107943705B - Method and device for testing process approval system - Google Patents
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Abstract
The application provides a testing method and a testing device for a process approval system, a path is extracted according to step elements and parameter configuration of a process, a test file is generated according to the extracted path, the purpose of automatically extracting the path from the process is achieved, the test file is generated according to the path, and therefore efficiency of process testing is improved.
Description
Technical Field
The present application relates to the field of electronic information, and in particular, to a method and an apparatus for testing a process approval system.
Background
The process approval system is a system for providing a service approval function. For example, in a banking system, a bank at a level below two evaluates a security item and then requires an upper bank to approve the security item. The second-level bank can initiate an approval business in the process approval system, and the upper-level bank can approve the evaluation value through the process approval system. Generally, the process approval system has the characteristics of multiple departments, multiple roles, multiple links, complex authority setting and the like.
In order to ensure stable operation of the process approval system, the process approval system needs to be tested. For the test of the process approval system, a test outline and a test case need to be compiled according to each path in the approval process. The process approval system usually spans a plurality of departments and a plurality of levels in the service, and has different approval authorities according to specific departments and specific service posts, each step node has a plurality of operations, each operation has different constraint conditions, and the circulation directions of approval lists are different, so that the number of approval paths is a geometric multiple of the number of paths related to the process operation system based on the combination of the various levels, authorities, operations and constraint conditions.
According to the traditional testing method of the process approval system, the approval path needs to be manually extracted according to the process diagram of the approval process, and based on the characteristics of the approval path, the manual extraction mode of the approval path inevitably has the problems of low efficiency, high possibility of error and incapability of comprehensive coverage, so that the testing effect of the process approval system is poor.
Disclosure of Invention
The application provides a method and a device for testing a process approval system, and aims to improve the testing effect of the process approval system.
In order to achieve the above object, the present application provides the following technical solutions:
a test method of a process approval system comprises the following steps:
acquiring step elements, wherein the step is a step of examining and approving the process in the process examining and approving system, and the step elements are preset factors for limiting the step execution;
acquiring parameter configuration for extracting a path, wherein the parameter configuration is a condition for extracting the path;
extracting a path according to the step elements and the parameter configuration, wherein the path is a set of steps according to the execution sequence of the flow;
and generating a test file according to the extracted path.
Optionally, the obtaining step includes:
displaying an interactive interface, wherein the interactive interface comprises selectable items of the step elements;
receiving target options through the interactive interface, wherein the target options are selected options from the selectable options.
Optionally, the step elements include nodes, operations, rules, subsequent nodes, and flow types;
the node is one step in the approval process; the operation is a specific operation mode under the type of the operation executed by an executing party in the node; the rule is a condition which needs to be met when the specific operation mode is executed; the subsequent node is the next node of the current node in the approval process; the circulation type comprises two types of automatic circulation and manual operation.
Optionally, the step elements further include:
at least one of critical path weight, mechanism and role;
the critical path weight is the weight of the node; the mechanism is the executor in the node; the role is the type of the operation performed by the executor in the node.
Optionally, the parameter configuration includes: return runs, case size and analysis granularity; the return round is the maximum round of return operation; the case scale is the scale of the extracted path and comprises a full path, a key path and a random key path; the analysis granularity is the length of the extracted path, including the full flow level, the sub-flow level and the node level.
Optionally, the parameter configuration further includes:
and the retraction mode is the type of the retraction operation and comprises gradual retraction, any retraction and one-step completion.
Optionally, the configuring and extracting a path according to the step element and the parameter includes:
storing the step elements in a chained data structure;
traversing the chained data structure, and storing the accessed nodes in a preset stack;
in the case of a return operation, saving the number of nodes which are pushed, wherein the number is used for representing the return round;
storing a plurality of paths between two nodes in a list;
and extracting the path according to the number and the list.
A test device of a process approval system comprises:
the first acquisition module is used for acquiring step elements, wherein the step elements are the steps of the approval process in the process approval system, and the step elements are preset factors for limiting the execution of the step;
the second acquisition module is used for acquiring the parameter configuration for extracting the path, and the parameter configuration is the condition according to which the path is extracted;
an extraction module, configured to extract a path according to the step elements and the parameter configuration, where the path is a set of steps according to the execution order of the process;
and the generating module is used for generating a test file according to the extracted path.
Optionally, the first obtaining module is configured to obtain the step elements by:
the first obtaining module is specifically configured to display an interactive interface, where the interactive interface includes selectable items of the step elements; receiving target options through the interactive interface, wherein the target options are selected options from the selectable options.
Optionally, the step elements include nodes, operations, rules, subsequent nodes, and flow types;
the node is one step in the approval process; the operation is a specific operation mode under the type of the operation executed by an executing party in the node; the rule is a condition which needs to be met when the specific operation mode is executed; the subsequent node is the next node of the current node in the approval process; the circulation type comprises two types of automatic circulation and manual operation.
Optionally, the step elements further include:
at least one of critical path weight, mechanism and role;
the critical path weight is the weight of the node; the mechanism is the executor in the node; the role is the type of the operation performed by the executor in the node.
Optionally, the parameter configuration includes: return runs, case size and analysis granularity; the return round is the maximum round of return operation; the case scale is the scale of the extracted path and comprises a full path, a key path and a random key path; the analysis granularity is the length of the extracted path, including the full flow level, the sub-flow level and the node level.
Optionally, the parameter configuration further includes:
and the retraction mode is the type of the retraction operation and comprises gradual retraction, any retraction and one-step completion.
Optionally, the extracting module is configured to extract a path according to the step element and the parameter configuration, and includes:
the extraction module is specifically configured to store the step elements in a chained data structure; traversing the chained data structure, and storing the accessed nodes in a preset stack; in the case of a return operation, saving the number of nodes which are pushed, wherein the number is used for representing the return round; storing a plurality of paths between two nodes in a list; and extracting the path according to the number and the list.
According to the testing method and device of the process approval system, the path is extracted according to the step elements and the parameter configuration of the process, the test file is generated according to the extracted path, the purpose of automatically extracting the path from the process is achieved, the test file is generated according to the path, and therefore the efficiency of process testing is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a testing method of a process approval system according to an embodiment of the present application;
FIG. 2 is a diagram illustrating an example of an interface for acquiring elements of a step in a testing method of a process approval system according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a testing method of another process approval system disclosed in the embodiments of the present application;
FIG. 4 is an example of a flowchart generated in a testing method of a process approval system disclosed in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a testing apparatus disclosed in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a testing method of a process approval system disclosed in an embodiment of the present application, including the following steps:
s101: and acquiring step elements.
The steps are the steps in the approval process, and the step elements refer to factors for limiting the execution of the steps.
Specifically, as shown in table 1, the step elements include nodes, organizations, roles, operations, rules, subsequent nodes, flow types, and path weights.
TABLE 1
The node refers to a step in the process, and comprises an executing party and the type of operation executed by the executing party. For example, one node in the flow is: and initiating a secondary row.
The mechanism refers to an executive party included in the node, and in the above example, the mechanism is as follows: and (5) secondary rows.
The role refers to the type of operation performed by an executor included in the node. In the above example, the roles are: and (4) initiating.
An operation is a specific manner of operation under the type of operation performed by the executing party. For example, the specific operation modes initiated include: commit and rollback. Commit refers to proceeding to a subsequent node. Return refers to returning to the previous node.
A rule is a condition that needs to be satisfied to perform a particular mode of operation. I.e. the operation can only be performed if the rules are satisfied. For example, submitting the corresponding rule is checked.
The subsequent node refers to the next node in the flow of the current node. It should be noted that if the operation is commit, the subsequent node is a new node, and if the operation is rollback, the subsequent node is a previously executed node.
The flow type refers to an operation type of jumping to a subsequent node, and in this embodiment, the operation type includes two types, namely automatic flow and manual operation. The automatic circulation refers to automatic jump to a subsequent node. The manual operation refers to jumping to a subsequent node through human-computer interaction.
The critical path weight refers to the weight of the node, and is used for representing the importance of the node.
Based on the definitions of the above elements, in the present embodiment, the mechanism, role, and path weight are optional elements.
In this embodiment, in order to facilitate subsequent automatic identification of the approval route, the source of the step element is a preset standardized element library. That is, the user selects step elements from the standardized element library according to the business requirements.
Therefore, each of the elements shown in table 1 is selected from the standardized element library exemplified in table 2.
TABLE 2
In table 2, the first row includes various step elements, and each column is an option under one step element. For example, the options under the 4 th column of operation step pixels include commit and rollback.
The granularity of the step elements shown in table 2 can be flexibly applied to various process approval scenarios by various combinations and arrangements, with repeated consideration and sufficient grasp of the applicant. And the method is light and easy to understand and has no ambiguity, so that an inexperienced analyst can quickly select step elements for the approval business process.
Specifically, the specific implementation manner of the obtaining step elements is as follows:
1. and displaying an interactive interface to a user, and selecting each step element in the flow on the interactive interface by the user according to the business requirement. Table 1 shows the elements of each step of an approval process. Table 1 is arranged in dimensions of one step, i.e., node, i.e., elements of one step, i.e., one node, per row.
In order to force the user to select a step element from the standardized element library, the interactive interface is as shown in fig. 2, a pull-down menu is set under each step element, the pull-down menu comprises all selectable items of the step element in the standardized element library, and the user can select one selectable item from the pull-down menu. Each step element only supports selection from a pull-down menu, and does not support input operation by a user.
2. Step elements selected by the user in the interactive interface (i.e., options selected from the selectable options) are received.
S102: and acquiring the parameter configuration extracted by the path.
A path refers to a collection of one or more steps in the order of execution of the flow.
The parameter configuration refers to conditions according to which the path is extracted.
Taking table 3 as an example, the parameter configuration includes: return round, return mode, case size, and analysis granularity.
TABLE 3
Number of return runs | Mode of return | Case size | Analysis of particle size |
2 | Arbitrarily withdrawn | Full path | Full flow stage |
Wherein, the return round refers to the maximum round of the return operation. Taking table 1 as an example, under the condition that the secondary line review does not pass, the secondary line review node returns to the secondary line initiating node from the secondary line review node, and then progresses to the secondary line review node from several points of the secondary line initiation, and if the secondary line review does not pass again, the secondary line review node also returns to the secondary line initiating node.
In table 3, the return round number is 2, which indicates that the maximum execution number of times from the secondary row review node to the secondary row initiation node is two, that is, in the approval process, after returning from the secondary row review node to the secondary row initiation node twice, if the secondary row review node does not pass again, the process is ended, and the return operation is not executed any more.
The purpose of allocating the return round is that no dead loop is caused by the return operation in the process of analyzing the path according to the step elements of the flow.
The retract mode specifies the type of retract operation, including gradual retract, any retract, and one-step-to-one. Wherein, gradually returning refers to returning one node at a time by taking the node as a unit. Any rollback means that the unit of rollback may be one or more nodes, i.e., one may rollback one or more nodes. By one step is meant a fallback to the first node of the flow at a time.
It should be noted that the rollback mode is an optional parameter, and in the case of specifying to rollback to a subsequent node in table 1, the rollback mode may not be configured here. In the case where a rollback operation is not specified in table 1 (no rollback is required or there are many and regular rollback operations), a rollback mode may be configured here.
Case scale refers to the scale of the extracted paths, including full paths, critical paths, and critical path randomness. The full path refers to all possible paths in the extraction flow. The critical path is a path whose weight satisfies a condition (e.g., the weight is the largest) extracted according to the weight of the critical path. The critical path is randomly selected from paths whose weights satisfy a condition.
The analysis granularity refers to the length of the extracted path, including the full flow level, the sub-flow level, and the node level. The full flow stage is a path from the beginning to the end, i.e. a node comprising a complete flow, e.g. a path comprising three nodes in table 1. The sub-process stage is a part of the path in the complete process, for example, the path formed by the nodes with sequence number 1 and sequence number 2 in table 1. A node level refers to a single node, such as the node with sequence number 1 in Table 1.
Selectable items may be set for the above parameters in advance, and the user may select configuration values of the parameters from the selectable items, similar to fig. 2.
S103: and configuring and extracting paths according to the step elements and the parameters.
Specifically, an approval process is generated according to the step elements, all possible paths from the beginning to the end in the approval process are traversed, and the paths are extracted according to parameter configuration.
In practical application, the following data processing mode is adopted to extract the path: 1. and storing the step elements in a background database, and converting the step elements in the database into a chained data storage structure by adopting a plug algorithm method. 2. And setting a stack for saving the path, and stacking the accessed nodes. 3. The number of nodes that have been pushed is saved for use in determining the number of retirements ("retirement rounds" of Table 3). 4. And storing a plurality of paths between two nodes in a list for judging whether the same path is accessed in the traversal process. 5. And extracting the path according to the number and the list. The details can be found in the prior art.
Assuming that the number of approved nodes is N, if 'one-back-to-bottom' is selected, N paths back to the submitting node are generated. If 'gradual return' is selected, N paths for returning to the previous step are generated, the nodes are recorded in a stack as the starting points of the next return, and several nodes are judged to be returned according to 'return turns' until a submitting node is reached. If it is "any return", then N paths are randomly generated to return to any node.
The above is a method of generating a full path by the "return round" (point 3) of tables 1 and 3. In addition, in combination with table 3 and the configuration of the "retraction mode" parameter, if the "retraction mode" is not configured in S102, the above point 3 is not executed.
S104: and generating a test outline and a test case according to the proposed path. The detailed manner can be seen in the prior art, and is not described herein.
The testing method of the process approval system in the embodiment of the present application may be executed by a testing apparatus, and based on the process shown in fig. 1, an interaction process between the testing apparatus and a user is shown in fig. 3.
1. And (3) calling a preset standardized element library by user input according to the requirement of the approval service, and inputting step elements and parameter configuration into the testing device to provide a data source for 2.
2. The testing device generates an approval process according to the step elements and the parameter configuration, and further extracts a path in the approval process according to the process. Optionally, a flow generated according to the step elements may also be displayed, and fig. 4 is an example of a visual approval flow.
3. And the testing device generates a testing outline and a testing case according to the extracted path.
As can be seen from fig. 1 and 3, in the method described in this embodiment, the steps are standardized, the path condition is parameterized, and the path is automatically extracted according to the step elements and parameters input by the user, so that compared with the existing method for manually extracting the path, the method can accurately, efficiently and comprehensively extract the path required by the test, thereby improving the test effect: the test can accurately and comprehensively cover possible paths in the flow and has high efficiency.
Fig. 5 is a testing apparatus disclosed in an embodiment of the present application, including: the device comprises a first acquisition module, a second acquisition module, an extraction module and a generation module.
The first obtaining module is used for obtaining the step elements. The second obtaining module is used for obtaining the parameter configuration of the path extraction. And the extraction module is used for configuring and extracting a path according to the step element and the parameter. The generating module is used for generating a test file according to the extracted path.
For specific implementation processes of the functions of the above modules, reference may be made to the above method embodiments, which are not described herein again.
The device of this embodiment has the following effects:
1. solves the difficulty that the complex approval process draws graphs and covers the whole path
2. The problem of analysis result deviation caused by different abilities of analysts is solved
3. The problem of low efficiency of compiling the test outline and the test case is solved.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A test method of a process approval system is characterized by comprising the following steps:
acquiring step elements, wherein the step is a step of examining and approving the process in the process examining and approving system, and the step elements are preset factors for limiting the step execution;
acquiring parameter configuration for extracting a path, wherein the parameter configuration is a condition for extracting the path;
extracting a path according to the step elements and the parameter configuration, wherein the path is a set of steps according to the execution sequence of the flow;
generating a test file according to the extracted path;
the parameter configuration comprises the following steps: return runs, case size and analysis granularity; the return round is the maximum round of return operation; the case scale is the scale of the extracted path and comprises a full path, a key path and a random key path; the analysis granularity is the length of an extracted path and comprises a full flow level, a sub-flow level and a node level;
the configuring and extracting a path according to the step element and the parameter comprises:
storing the step elements in a chained data structure, comprising: storing the step elements in a background database, and converting the step elements in the database into a chained data storage structure by adopting a plug algorithm method;
traversing the chained data structure, and storing the accessed nodes in a preset stack;
in the case of a return operation, saving the number of nodes which are pushed, wherein the number is used for representing the return round;
storing a plurality of paths between two nodes in a list for judging whether the same path is accessed in the traversal process;
and extracting the path according to the number and the list.
2. The method of claim 1, wherein the obtaining step element comprises:
displaying an interactive interface, wherein the interactive interface comprises selectable items of the step elements;
receiving target options through the interactive interface, wherein the target options are selected options from the selectable options.
3. The method according to claim 1 or 2, wherein the step elements include nodes, operations, rules, successor nodes, and flow types;
the node is one step in the approval process; the operation is a specific operation mode under the type of the operation executed by an executing party in the node; the rule is a condition which needs to be met when the specific operation mode is executed; the subsequent node is the next node of the current node in the approval process; the circulation type comprises two types of automatic circulation and manual operation.
4. The method of claim 3, wherein the step element further comprises:
at least one of critical path weight, mechanism and role;
the critical path weight is the weight of the node; the mechanism is the executor in the node; the role is the type of the operation performed by the executor in the node.
5. The method of claim 1, wherein the parameter configuration further comprises:
and the retraction mode is the type of the retraction operation and comprises gradual retraction, any retraction and one-step completion.
6. A test device of a process approval system is characterized by comprising:
the first acquisition module is used for acquiring step elements, wherein the step elements are the steps of the approval process in the process approval system, and the step elements are preset factors for limiting the execution of the step;
the second acquisition module is used for acquiring the parameter configuration for extracting the path, and the parameter configuration is the condition according to which the path is extracted;
an extraction module, configured to extract a path according to the step elements and the parameter configuration, where the path is a set of steps according to the execution order of the process;
the generating module is used for generating a test file according to the extracted path;
the parameter configuration comprises the following steps: return runs, case size and analysis granularity; the return round is the maximum round of return operation; the case scale is the scale of the extracted path and comprises a full path, a key path and a random key path; the analysis granularity is the length of an extracted path and comprises a full flow level, a sub-flow level and a node level;
the extraction module is used for configuring and extracting a path according to the step element and the parameter, and comprises:
the extracting module is specifically configured to store the step elements in a chained data structure, and includes: storing the step elements in a background database, and converting the step elements in the database into a chained data storage structure by adopting a plug algorithm method; traversing the chained data structure, and storing the accessed nodes in a preset stack; in the case of a return operation, saving the number of nodes which are pushed, wherein the number is used for representing the return round; storing a plurality of paths between two nodes in a list for judging whether the same path is accessed in the traversal process; and extracting the path according to the number and the list.
7. The apparatus of claim 6, wherein the first obtaining module is configured to obtain the step elements including:
the first obtaining module is specifically configured to display an interactive interface, where the interactive interface includes selectable items of the step elements; receiving target options through the interactive interface, wherein the target options are selected options from the selectable options.
8. The apparatus of claim 6 or 7, wherein the step elements include nodes, operations, rules, successor nodes, and flow types;
the node is one step in the approval process; the operation is a specific operation mode under the type of the operation executed by an executing party in the node; the rule is a condition which needs to be met when the specific operation mode is executed; the subsequent node is the next node of the current node in the approval process; the circulation type comprises two types of automatic circulation and manual operation.
9. The apparatus of claim 8, wherein the step element further comprises:
at least one of critical path weight, mechanism and role;
the critical path weight is the weight of the node; the mechanism is the executor in the node; the role is the type of the operation performed by the executor in the node.
10. The apparatus of claim 6, wherein the parameter configuration further comprises:
and the retraction mode is the type of the retraction operation and comprises gradual retraction, any retraction and one-step completion.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1798071A (en) * | 2004-12-24 | 2006-07-05 | 华为技术有限公司 | Method for testing mechanism of data rollback |
US7631291B2 (en) * | 2004-10-01 | 2009-12-08 | Microsoft Corporation | Declarative representation for an extensible workflow model |
CN106354641A (en) * | 2016-08-30 | 2017-01-25 | 东软集团股份有限公司 | Testing method and device for process engine |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101615269B (en) * | 2009-08-11 | 2015-05-27 | 用友软件股份有限公司 | Retroversion method and device in workflow management system |
CN102880739A (en) * | 2012-07-31 | 2013-01-16 | 中国兵器科学研究院 | Network minimum path set determination method based on adjacency list |
US9846717B2 (en) * | 2012-10-23 | 2017-12-19 | Galois, Inc. | Software security via control flow integrity checking |
US9886699B2 (en) * | 2014-04-08 | 2018-02-06 | International Business Machines Corporation | Performance based approval in CMS workflow process |
CN104268724A (en) * | 2014-10-29 | 2015-01-07 | 中国农业银行股份有限公司 | Business process testing method and device |
CN105404952A (en) * | 2015-09-24 | 2016-03-16 | 鲁能集团有限公司 | Approval workflow dynamic configuration method and system based on SAP platform |
CN106845781B (en) * | 2016-12-22 | 2024-07-19 | 中信银行股份有限公司 | Scene and flow generation system and method for business test |
-
2017
- 2017-12-08 CN CN201711292802.4A patent/CN107943705B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7631291B2 (en) * | 2004-10-01 | 2009-12-08 | Microsoft Corporation | Declarative representation for an extensible workflow model |
CN1798071A (en) * | 2004-12-24 | 2006-07-05 | 华为技术有限公司 | Method for testing mechanism of data rollback |
CN106354641A (en) * | 2016-08-30 | 2017-01-25 | 东软集团股份有限公司 | Testing method and device for process engine |
Non-Patent Citations (2)
Title |
---|
Activiti如何实现流程的回退;爆破者;《https://my.oschina.net/u/3391161/blog/869291》;20170328;第1-7页 * |
基于工作流引擎的可配置回退方法研究与实现;魏培阳 等;《成都信息工程学院学报》;20140831;第29卷(第4期);第360-364页 * |
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