Research Article | Open Access
Roberto Rodriguez-Echeverria, Juan C. Preciado, Álvaro Rubio-Largo, José M. Conejero, Álvaro E. Prieto, "A Pattern-Based Development Approach for Interaction Flow Modeling Language", Scientific Programming, vol. 2019, Article ID 7904353, 15 pages, 2019. https://doi.org/10.1155/2019/7904353
A Pattern-Based Development Approach for Interaction Flow Modeling Language
Development and deployment technologies for data-intensive web applications have considerably evolved in the last years. Domain-specific frameworks or model-driven web engineering approaches are examples of these technologies. They have made possible to face implicit problems of these systems such as quick evolving business rules or severe time-to-market requirements. Both approaches propose the automation of redundant development tasks as the key factor for their success. The implementation of CRUD operations is a clear example of repetitive and recurrent task that may be automated. However, although web application frameworks have provided mechanisms to automate the implementation of CRUD operations, model-driven web engineering approaches have generally ignored them, so automation has not been properly faced yet. This paper presents a pattern-based development approach for the Interaction Flow Modeling Language as a way to finally automate repetitive specification tasks. Our approach is illustrated by defining and applying IFML patterns for CRUD operations. Additionally, a supporting tool, which enables automation, is shown. The suitability of our approach and the utility of its tool have been evaluated by its application into several real projects developed by a software company specialized in model-driven web application development. The results obtained present evidence of a significant productivity improvement obtained by the automation of the IFML specification of CRUD operations.
Model-driven web engineering (MDWE)  approaches provide methodologies and tools for the design and development of most kinds of web applications. They address different concerns by using separate models (navigation, presentation, data, etc.) and are usually supported by model compilers that automatically produce most of the application’s web pages and logic code. The benefits of using MDWE are clear from different points of view such as team productivity, software quality, or adaptation to ever evolving technologies [2, 3].
Among the different MDWE approaches, it is worth mentioning IFML (Interaction Flow Modeling Language) , an OMG standard for the development of data-intensive applications that has become a reference in industrial developments [5, 6]. Its main development tool, WebRatio, allows the edition and validation of IFML models. But even more important, it also provides code generators to automatically derive the final application code for a particular technological platform, reducing the time-to-market and the development effort for these web applications.
Concerning the development effort, one of the most redundant tasks in data-intensive web application development is the implementation of CRUD operations. As Martin Fowler argued, “disappointing as it is, many of the use cases in an enterprise application are fairly boring “CRUD” (create, read, update, delete) use cases on domain objects” .
However, and surprisingly, while several development frameworks such as Ruby on Rails , Django , MonoRail , or Catalyst , just to cite a few, have adopted solutions to optimize the implementation of CRUD operations, no MDWE approach (i.e., IFML/WebRatio) has proposed an automatic approach to perform these tasks yet, even though there are works claiming a significant productivity gain (more than 90%) when these tasks are automated by model-driven techniques [12, 13].
This paper presents a pattern-based development approach for the Interaction Flow Modeling Language. A collection of IFML patterns specifying a possible representation of CRUD operations are proposed. Moreover, a WebRatio plug-in, developed for the automatic instantiation of IFML patterns, is presented as a supporting tool. Furthermore, an industrial case study is presented to validate our approach and to assess the utility of the supporting tool developed. For such validation, we have relied on the collaboration with an industrial partner specialized in the professional development of data-intensive web applications using WebRatio.
This work provides a relevant extension of previous publications [14, 15]. This work has been conceived from a methodological point of view by concentrating on the introduction of a pattern-based development approach for IFML. Furthermore, we present the definition and instantiation of IFML patterns for CRUD operations. Conversely, previous works were mainly focused on the supporting tool development and description. In , we focused on presenting a first version of the tool and assessing its utility. While in , a new version of the tool was published (code available), featuring pattern customization, a renovated user interface, and pattern-level editing operations.
The rest of the paper is organized as follows: Section 2 presents the motivation and the related work, highlighting both studies about optimization in MDWE and proposals for automatic generation of CRUD operations. Section 3 provides a brief introduction to IFML. A web application is presented in Section 4 as an illustrative example. Section 5 presents the core concepts of our approach: pattern definition and instantiation. The tool for automating pattern application is exposed in Section 6. Section 7 presents the main results obtained after applying the approach in an industrial case study for validation. Finally, Section 8 summarizes the main contributions of this work and gives an overview of the future research lines.
2. Motivation and Related Works
The optimization of development effort in the domain of web engineering has been addressed by several previous works. In , an assessment of the variation in productivity due to the use of a MDWE approach instead of a code-centric development process was introduced. They observed an important productivity gain by using their model-driven approach. In , the authors also compared the use of an MDWE approach (OOH4RIA ) in web information systems development to a code-centric one in the .NET platform. In particular, they focused on maintainability characteristics of these systems. This work was an extension of the work presented in , where authors performed a similar study but focusing on WebML [20, 21], as MDWE approach, and PHP, as code-centric alternative. In both works, the authors observed that the utilization of an MDWE approach highly improved maintainability compared to a code-centric implementation process; for example, OOH4RIA improved the actual efficiency of the changeability tasks 317 times and also improved its effectiveness by up to 27%. Nevertheless, although all these works reveal a clear optimization of the development effort, they do not specifically address CRUD operations, which is the main objective of other works such as [12, 13].
In , the authors presented a model transformation approach that automatically generates the code implementing the CRUD operations for a web system taking as input class diagrams based on a specific UML profile. In , the authors also evaluated the productivity improvements obtained by a model-driven approach that automatically generates the CRUD operations source code for a web information system. This approach also takes as input the UML class diagrams for the system. By using the approach, the authors observed an important development of time reduction (up to 90.98%). They also surveyed developers about the difficulties found compared to the manual coding approach and obtained better results for the model-driven one. However, in [12, 13], the proposed approaches, first, lack of a particular language to specify the navigational concern of web applications and, second, cannot be easily applied in professional environments using MDWE tools, as WebRatio.
Finally, the automatic generation of CRUD operations has been the focus of different works at different levels of abstraction: at code level (e.g., grocery CRUD for PHP ) or at framework level (Ruby on Rails , Django , MonoRail , or Catalyst ). These frameworks provide specific tools to automate the implementation of CRUD operations, like software scaffolding toolkits, which allow generating the structural parts of the applications expressed in some simplistic specification language (normally XML or YAML). Once the code is generated, it has to be manually refined by developers, discarding the initial specifications. As main limitation, such approaches force a specific technological platform and architecture. They posses the advantages of automatic code generation to speed-up the initial stages of the development. However, these proposals are defined at a lower level of abstraction than model-driven approaches. Hence they cannot leverage on MD main benefits, such as the independence of specific platforms and, in general, the optimization of development efforts outlined at the beginning of this section.
To the best of our knowledge, and although the advantages seem considerable, no MDWE approach has addressed those issues by effectively automating redundant and repetitive development tasks. This is the rationale for this work.
3. IFML Overview
IFML is a modeling language standardized by the OMG (object management group) to represent an application front-end independently of the implementation technology or target devices. Basically, it defines a set of visual elements to represent the user interaction and the front-end behaviour. WebRatio has led the standardization of this language, and WebML has been used as its foundation. The language was adopted as a standard by the OMG in March 2013 (changing its name to IFML). And in March 2014, OMG Architecture Board formally adopted the specification of IFML 1.0 . Among other improvements, it is worth noting that the binding with the business and content models has been generalized to allow the usage of non-UML models.
IFML defines the following core elements: View Container, View Component, Binding, Parameter, Event, Action, Navigation Flow, and Data Flow. Figure 1 presents their visual concrete syntax.
The main element is the View Container that specifies an interface view and its composition. This element may represent, for instance, a window in a desktop application or a web page in a web application. View Container elements can be nested or contain View Component elements to define richer front-ends. Nested View Containers usually represent panels or tabs in the interface, which could be shown simultaneously or mutually excluded ([XOR] tag). View Components represent front-end elements to display content or data input. For example, a web form, a listing of objects, or a detail view of a data object are all View Components. Additionally, Data Binding elements link the displayed content to its corresponding data entity of the domain model, which is represented by a class diagram, an entity relationship diagram, or an ontology. Moreover, parameters allow the definition of filters over the displayed content.
Event elements represent the dynamic front-end behaviour, e.g., the events triggered by the user or the system itself. For example, a user may trigger an event when clicking a menu item. They are commonly associated with View Containers and Components. Furthermore, they may be specialized to represent customized events, e.g., multiselection in a list of elements or form submission.
Action elements represent the business logic from an abstract point of view. They may reference behaviour models (UML activity diagrams, UML sequence diagrams, BPMN diagrams, etc.) describing the actual business logic to be performed. In addition, Actions may trigger a different kind of events, called ActionEvents, as the result of business logic computation termination or the occurrence of exceptions. Moreover, Actions may reside on the server or on the client side.
Interaction Flow elements represent a front-end state change. They can be of two different types: navigation flow and data flow. The former represents an input-output dependency between two different IFML elements, specifying their execution sequence, normally triggered by an event. Additionally, they may transport data, as parameter binding groups from one IFML element (source) to the other (target). Data flow represents data passing between view components or actions as a consequence of a previous user interaction.
IFML was designed to be easily extended so that different domains could define its own concepts as extensions of the IFML core elements. This is the case of WebRatio, which provides a richer set of concepts by extending IFML elements. In this work, we have used the following WebRatio-specific elements (Figure 2).
3.1. View Component Extensions
(1) Selectors, they fetch data from a database according to a condition and may output these data to other elements; and (2) Messages, they display feedback information to the user.
3.2. Navigation Flow Extensions
(1) OK/KO flows, they define the control flow based on the result of an operation execution: success is represented by an OK flow, while fail is depicted by a KO flow.
3.3. Action Extensions
(1) Create, (2) Modify, (3) Delete, (4) Connect, (5) Disconnect, and (6) IsNotNull. They define common data operations. Moreover, WebRatio provides an additional element extension, called Action Definition, to define operation chains. They define input and output ports (squares in the figure) to pass data in and out.
4. Illustrative Example
In order to illustrate this approach, we use a previous case study named the Conference Review System (CRS) (https://www.eweb.unex.es/eweb/migraria). CRS is a web application implemented by two different developer teams of our software laboratory. The first team implemented it using Java Enteprise Edition Platform, while the second team built it by means of WebRatio. This system is based on the case study proposed in the First International Workshop on Web-Oriented Software Technology (http://users.dsic.upv.es/∼west/iwwost01/).
Figure 3 presents four screenshots of this web application for illustrative purposes: Figure 3(a) is showing a submission (paper) list in the PC member area; Figure 3(b) presents a web form to create a new submission (Paper); and Figures 3(c) and 3(d) implement the master-detail view pattern for submissions (papers) in the author area.
Additionally, Figure 4 displays a partial IFML specification of the previous web pages. Using a MDWE approach usually implies to work, at least, with two different models: the interaction model (e.g., IFML) and the domain model (e.g., entity relationship diagram). Figure 4(a) shows a simplified IFML specification for the master-detail view represented by web pages 3(c) (master) and 3(d) (detail). Basically, this IFML model contains two different view containers, one for each page. The first one displays a list containing all the submissions of a particular author by means of a list view component bound to the Paper entity. The second one contains three view components, one for each entity to display (1) a detailed view component displaying the properties of the selected paper, bound to the Paper entity; (2) a list view component listing the coauthors of that paper, bound to the Author entity; and (3) another list view component listing the available reviews for that paper, bound to the Review entity. Moreover, a navigation flow, triggered by the selected user event, transports the id of the paper from one view container to the other, so target view components can be properly populated with the corresponding data. Note that Author and Review entities are not shown in Figure 4(b) for the sake of brevity. In addition, an excerpt of the domain model for this system is presented in Figure 4(b), which contains a simplified version of the following entities.
It represents the submissions in the system and holds one relationship with each of the other two entities.
It represents the tracks of a conference and holds a onetomany relationship with Paper.
It represents the submission topics of a conference and holds a manytomany relationship with Paper.
5. IFML Pattern-Based Approach
As commonly stated, design patterns must represent well-known solutions to recurrent problems. In this case, the CRUD patterns presented in this work stem from the vast experience of our industrial partner on the development of web applications using WebRatio for more than 10 years. Nevertheless, our approach fosters the definition and instantiation of new patterns in order to maintain a richer pattern repository for a given domain.
Pattern-based development comprises two main stages: (1) pattern definition, when engineers specify in detail the elements and structure of a new pattern and include it in the company repository, and (2) pattern instantiation or application, when developers select the right pattern from the repository and instantiate it into the web application specification. Following this, we present how patterns are defined in our approach and also how they are applied in the context of the illustrative example.
5.1. Pattern Definition
In order to define IFML patterns, we follow the approach proposed for object-oriented design patterns, which basically show relationships and interactions between classes or objects, without specifying the final application classes or objects that are involved. Therefore, IFML patterns are structured IFML model snippets, sharing a common purpose or mission. For example, a Create pattern entails a collection of interconnected IFML elements representing the view containers, view components, events, interaction flows, and actions involved in the input of new data by users. Eventually, some of those IFML elements will be parametrized when instantiated to define a final element in the IFML model of the web application under development.
The primary parameter for patterns considered in this work is the target data entity (domain model), which represents the data model entity over which the data operation will be performed. Moreover, this entity likely posses attributes and relationships with other entities, which may act as additional parameters in other elements of the pattern. For example, they may be used for data displaying in view containers, data filtering, and data binding specified in navigation flows, among other things. Regarding the latter, the target entity relationships may play a fundamental role in the instantiation of a pattern because additional IFML elements may be needed to represent them. As a result, the pattern definition must enable the specification of optional IFML elements, whose instantiation will be triggered by the presence of a particular relationship.
In summary, a pattern is a structure of IFML elements, which will be instantiated by the target data entity. Such entity attributes, and relationships will act as additional parameters for the pattern.
5.1.1. IFML CRUD Patterns
In this section, CRUD patterns are specified for IFML following the coding style guides of our industrial partner. Note that they are specified from a generic point of view to keep them independent of the app scenario.
Figure 5 presents the Create pattern. In this case, its main elements are: (1) the Create page as the main view container of the pattern; (2) a view component defining a web form for users to input data, which will contain a field for every entity attribute (instantiation of parameters); (3) an event triggered by users to execute the proper action chain by means of a navigation flow, which contains a data binding group passing the form fields to the action chain; (4) a Create action chain, whose main element is a Create action eventually serializing data into the database; (5) OK and KO navigation flows outgoing from the create action to the (6) message view component, which displays feedback information to users regarding the result of the performed data operation. The sequence of execution in IFML is basically defined by the navigation flows (create, OK and KO flows in the figure). When the user triggers the creation event, all the data operations are executed following the sequence defined by the navigation flows until reaching the message view component, which represents the end of the interaction flow for this pattern. So far, we have just presented the mandatory elements of the Create pattern; however, there are also optional elements that need to be dynamically considered when data entity relationships are taken into account. Those optional elements are highlighted in red in Figure 5 to be easily identifiable. For each relationship, no matter its cardinality, a selector component and its corresponding selection field inside the form are needed. They represent the data population of a selection field according to the entity related to the target data entity by means of the selected relationship. For example, a data entity representing the values of available shipping countries for an online store. Furthermore, for each manytomany relationship, first, a multiselection field is included in the form instead of a selection field, and second, a Connect action in the business logic must be executed to properly serialize it into the database.
Figure 6 shows the Update pattern, which presents a structure pretty similar to the previous pattern. Therefore, we are just commenting the differences here. Basically, as mandatory IFML elements, it includes the following additional elements: (1) a list view component, which will list all the objects available of the target data entity and will act as the starting point of the data operation; (2) an update event, triggered by the user when clicking on a particular object of the list; (3) a navigation flow propagating the object id to a (4) selector view component, which will fetch the data of the corresponding object from the database; and (5) a transport flow passing the object data to the web form (view component) to properly populate all the related fields. Additionally, the object id is passed within the data binding group of the navigation flow between the form and the Update action chain. Furthermore, optional elements are specified as before when relationships are considered.
Figure 7(a) presents the Read pattern. For the sake of brevity and simplicity, we just introduce a simple case of this pattern implementing a master-detail view, without optional elements associated to the presence of relationships mainly because there are no important differences between both versions of the pattern. The main elements of this pattern are (1) the Read page as the main view container of the pattern; (2) a view component (master) defining a list with all the objects available of the target data entity and acting as the starting point of the read operation; and (3) a navigation flow propagating the object id to a (4) view component (detail), which will fetch the data of the corresponding object from the database to display them to the user.
Finally, Figure 7(b) presents the Delete pattern. Again, in this case, there is no need to consider relationships, so no optional elements are specified. Note that the deletion of related objects is commonly defined at data level by means of foreign keys and cascade deletion. The main elements of this pattern are (1) the Delete page as the main view container of the pattern; (2) a view component listing all the objects available of the target data entity and acting as the starting point of the deletion; (3) a navigation flow propagating the object id to a (4) Delete action, which will eventually execute the deletion statement in the database; and (5) OK and KO flows outgoing from the Delete action to the (6) message view component, which displays feedback information to users regarding the result of the data operation.
5.2. Pattern Instantiation
In our approach, the process of instantiating a pattern entails the following steps: (1) selecting the particular pattern from the repository; (2) identifying the target data entity from the domain model (the data operation will be defined over this entity); (3) indicating the entity attributes to include in the pattern; and finally (5) selecting the entity relationships to consider.
Different relationship cardinality may involve some differences among the instantiations of a particular pattern by enabling the instantiation of its optional elements. As a result, we need to consider the following instantiation alternatives for every IFML pattern defined: (1) no relationship, just the target data entity; (2) a onetomany relationship, the target data entity holds a 1-N relationship with another data entity and it must be considered when instantiating the pattern; and (3) a manytomany relationship, the target data entity holds a N-N relationship with another data entity, and it must be considered when instantiating the pattern. In a complex scenario, pattern instantiations have to deal with target data entities holding multiple relationships that must be included.
According to the previous relationship choices, Table 1 shows the instantiation alternatives (cases) for the CRUD patterns considered in this work. An additional pattern (AllInOne), representing an optimal specification of all the CRUD operations on a particular data entity, is included in the table but not explained in this work for the sake of brevity.
5.2.1. Pattern Instantiation Example
For illustrative purposes, we have decided to exemplify the instantiation of the Create pattern over the data entity Paper from the Conference Review System. We model the web page shown in Figure 3(b), which represents precisely this data operation. A new submission (Paper) requires to consider data relationships with Track and Subject entities because each new submission must indicate a target track and, at least, one conference topic. As a result, this example is considering two relationships with different cardinality (onetomany and manytomany) when instantiating the pattern. So two different instantiation cases are exemplified at the same time: C-1N and C-nM, according to Table 1.
After pattern instantiation, the final IFML snippet, shown in Figure 8, is automatically included into the model of the application. Concretely, the figure shows all the mandatory elements, which are properly instantiated with the corresponding data entity. Those elements are (1) the Create Paper page as main view container; (2) the form view component containing fields for each Paper attribute (title and abstract); (3) the submit event and its navigation flow associated with the form fields as a data binding group; (4) the Create action, taking as input the output of the form and instantiated with the data entity Paper; and finally (5) the OK/KO flows departing from the action and ending into the message view component. Note that the view containers and components accurately represent the HTML elements identifiable in the web form of Figure 3(b). Now we focus on the optional elements of the pattern. Two selector view components are instantiated inside the page, one for each relationship considered: paperTrack and paperSubject. Those selectors are bound to their corresponding data entity and provide the form with the necessary data to populate the additional selection fields with the tracks available and the subjects considered. Finally, an additional action, connect, needs to be instantiated to properly store the subjects selected in the web form for the new paper. The presence of this new action makes necessary to deviate the OK flow departing from the create action because the successful execution sequence must include that connect action. Furthermore, a data flow is defined between the input port of the action chain and the new action to transport the data from the web form to the connect action.
Table 2 shows the number of IFML elements, grouped by type, necessary for the instantiation of this CRUD pattern in this particular case (just C-nM). An IFML modeler needs to use 15 different IFML elements to specify a create operation over a data entity and the involved interactions. Furthermore, IFML elements have been classified into three main groups: flows, units, and bindings. These groups have been defined based on the expected effort made by a developer to specify elements of a concrete group assisted by using the WebRatio tool. In other words, the elements that require a similar effort in their specification are classified into the same group. They will also be considered in the validation of the approach. It should be noticed that OKLink and KOLink flows are never considered as binding holders because they just imply a single message passing.
According to the previous classification, Table 3 summarizes the number of IFML elements needed for the instantiation of a Create pattern over a target entity with a manytomany relationship.
5.2.2. IFML Elements Generated for Each Instantiation
The other IFML patterns for CRUD operations can be instantiated following a similar process. Although concrete details of their application are not discussed in this work, Table 4 presents a summary of the total number of IFML elements generated for the application of each CRUD pattern in every instantiation case considered. As a main conclusion, a developer has to use, connect, and configure more than 18 IFML elements in average to specify a CRUD operation over a data entity of the domain model. Note that Read and Delete patterns are not considering relationships herein, so their numbers are the same in the three different instantiation cases contemplated. Those values correspond to the no-relation case.
6. Tool Support
Along this work, we have developed two different versions of the tool supporting the pattern-based IFML specification of CRUD operations. This tool is named AutoCRUD, and its last version was published in , including its source code, user, and developer manuals. In this section, for the sake of completeness, we briefly illustrate the main use case of our tool.
AutoCRUD mainly plays the role of a scaffolding tool for WebRatio by providing engineers with a pattern repository of the most frequently used IFML snippets for their projects (pattern definition). This tool is open to extension; hence, its pattern repository may be conveniently customized by every development team to specifically tailor it to its own necessities and styles.
Once IFML patterns are defined and stored into the repository, our pattern-based development approach may be easily applied by instantiating patterns on concrete target data entities, further parametrized by their attributes and relationships. Figure 9 illustrates both the instantiation of a particular pattern (left side) and the generation of its final IFML specification in the project under development (right side).
Regarding the instantiation step, a particular wizard dialogue (left side) provides engineers with all the available patterns to apply (select pattern drop-down list), together with all the data entities of the domain model (select entity drop-down list). Moreover, relationship and attribute lists are dynamically updated according to the selected data entity. Therefore, engineers have in a single place all the data needed to perform a proper pattern instantiation in a matter of seconds. Additionally, this dialogue has a button to access the registry functionality, which maintains a detailed account of all the IFML elements created by the tool.
Regarding the IFML generation step, Figure 9 (right side) presents the generation of the IFML specification for the pattern defining all the CRUD operations for a data entity at the same time (AllInOne). In this case, the dialogue in the middle allows engineers to select between two different operation modes: (1) step-by-step mode, which interactively generates IFML elements one by one (useful for educational purposes), or (2) fast forward mode, which generates the whole final IFML snippet in just one step (useful for production).
7. Industrial Validation
With the intention of assessing the utility of our approach, this section shows the results of its application to different projects developed by our industrial partner, Homeria SL . The main goal of this evaluation is to analyze the impact of including our pattern-based approach and its supporting tool into the company development process in terms of their potential reduction in production costs.
Homeria is an official partner of WebRatio (http://www.webratio.com/site/content/es/partners) with a large team of developers certified in web application construction with WebRatio, IFML, and data-driven methodologies. In the last 9 years, this company, which relies on an important client portfolio, has carried out more than 100 projects.
In this analysis, we have considered the development time as the production cost unit. Therefore, shorter development times mean lower production costs. In order to obtain relevant base time measurements, the next procedure has been followed:(i)A group of developers was selected for the analysis. Concretely, 10 members were chosen from those with higher experience in WebRatio development. Hence, all the developers had a similar experience in developing data-intensive web applications with such technology.(ii)That group of developers was responsible for creating all the CRUD operations in the projects they were working at the moment of performing this study. They specified a variety of CRUD operations over different data entities in dissimilar situations. Therefore, all the possibilities considered in our approach were covered.(iii)We measured the time spent on defining the whole collection of IFML elements needed to specify each CRUD operation. For this purpose, the time taken by each developer to specify each operation was recorded in a shared timesheet. Finally, the average time for each operation was calculated.
As aforementioned, regarding similar development times, IFML elements were classified into three main groups: flows, units, and bindings. The average development time for the different groups were obtained, which are shown in Table 5. They constitute a reference for the measurements performed during the study. This table also presents the standard deviation in each case. Note that insignificant deviations are obtained for the manual measurements, mainly due to the homogeneous expertise of the selected developers. These values are not significant compared to the average time assessed. Note that, although these values could vary in terms of developers’ expertise, this study could be replicated in other companies just by adapting the development base time values according to the expertise of a particular team (just repeating the measurement for each CRUD operation).
According to the values shown in Table 5, Table 6 presents the costs involved in the manual specification of each CRUD operation definition case (considering data entity relationships). In order to be able to compare manual to tool-aided development times, Table 6 also shows how long (on average) it takes a developer to specify each case for the CRUD operations using AutoCRUD. Note that we are not considering here the time spent on the automatic generation of the final code because it is not significant enough.
Once the base time measurements were obtained, we analyzed 6 different projects previously developed by the company, whose source models were available. For this purpose, a quantitative analysis was carried out where the IFML elements needed for CRUD operations’ specification were identified.
As an example of the results, Table 7 shows for each project: (1) its size; (2) the amount of CRUD operations, organized by cases; (3) the total number of CRUD operations; (4) the total number of data entities in the data model; (5) the total number of IFML elements used to specify all the CRUD operations (classified as flows, units, and bindings); and (6) the total time (in hours) dedicated to the project (based on timesheets used by the developers). Based on the number of CRUD cases (instantiation cases according to data entity relationships, Table 1) in each project (row (2)) and the time spent on specifying each case (shown in Table 6), the total time needed for manually implementing these operations has been calculated for each project (row (7)). Based on rows (6) and (7), the percentage of time dedicated to the CRUD operations for each project is shown in row (8). Likewise, considering the time spent on specifying each CRUD operation with our tool (last column in Table 6), the time taken to define all the CRUD operations with AutoCRUD for each project has been calculated (row (9)). Finally, the table shows the difference (row (10)) between both costs (manually) vs. tool aided (showing the benefits in terms of hours and percentage).
As shown in Table 7, the development time reduction obtained by using our tool is above 95% of the total time dedicated to CRUD operations in all the projects. These results show a clear evidence of the significant productivity improvement provided by our approach and tool presented here since they practically eliminate the time dedicated to CRUD operations specification from the projects. Moreover, Table 7 shows also some evidence about a possible correlation between the benefit obtained and the project size. In other words, the larger the project, the more significant the productivity improvement obtained. As an example, a 99.88% time reduction in CRUD specification for the largest project was achieved.
Additionally, these results should also be considered regarding the percentage of time dedicated to CRUD specification in each project. Observe that, in the projects analyzed, these percentages range from 6.14% to 9.69% of the total development time (row (8) in Table 7). This means that, for instance, our tool-aided approach is able to achieve a 10% reduction in the total development time for the largest project. Moreover, such result becomes even more relevant considering the total development time involves many other activities, such as user interface design or scripting implementation. Furthermore, according developers’ timesheets, the percentage of time dedicated to IFML specification in each project is presented in Figure 10 (horizontal axis). It also shows the percentage of the IFML specification time dedicated to CRUD operations (vertical axis) so that the reduction in the time dedicated to IFML in each project has been calculated. This reduction varies from 14.99% () to 28.15% (). As a result, considering that the time dedicated to CRUD specification is almost completely eliminated, a 19.75% (mean) reduction in the time dedicated to IFML specification is eventually achieved in these projects. Finally, as Figure 10 clearly illustrates, there seem to be no correlation between the size of the project and the final time reduction achieved.
This paper has presented a pattern-based approach to reduce web application development effort when using IFML as specification language. The definition and instantiation of IFML patterns have been introduced with detail and exemplified by specifying common CRUD operations as IFML patterns. Those definitions have been developed in collaboration with an industrial partner to properly derive them from experience. However, they are not mandatory. Therefore, every company can define them according to its own experience and style. Additionally, our approach fosters the definition and instantiation of new patterns in order to maintain a richer pattern repository for a given domain. Furthermore, we have developed a supporting tool to simplify and automate pattern instantiation and operation. The tool has been developed as a WebRatio plug-in by explicit requirement of our industrial partner so that it can be easily integrated into its development process. Finally, we presented the results of applying our approach (and tool) to real life projects developed by our industrial partner. As main benefits, we have observed the following: (1) a clear reduction of the time spent in repetitive tasks (specification of CRUD operations); (2) a significant decrement of errors due to redundant IFML specifications; and (3) a growing consistency across projects regarding CRUD modeling, which makes applications more regular and thus more usable.
As future work, we plan to follow several research lines. We want to define IFML patterns to automate other repetitive modeling activities in IFML, probably focusing on specific domains, e.g., mobile applications. We are also working on the definition of some heuristics to guide an algorithm on the automatic generation of the most likely useful CRUD operations for every data entity given a domain model and a profile of the final application. In parallel, we plan to extend this algorithmic approach to automatically discover and register patterns from preexisting IFML models to improve their maintenance.
All the data used in the validation section are attached to the article as a supplementary file in order to allow researchers to verify the results, replicate the analysis, and conduct secondary analyses.
Conflicts of Interest
All the authors confirm that the mentioned received funding did not lead to any conflicts of interest regarding the publication of this manuscript.
The authors wish to acknowledge the collaborative funding support from (i) POCTEP 4IE project (0045-4IE-4-P) and (ii) Consejería de Economía e Infraestructuras/Junta de Extremadura (Spain)-European Regional Development Fund (ERDF) projects (GR18112 and IB16055). The authors also wish to acknowledge the valuable contribution of Homeria as the industrial partner who participated in the development of the tool and its validation.
Herewith this document, a spreadsheet with all the data needed to perform our validation has been included. Concretely, this file contains 4 different sheets, which are next described using their names as identifiers. Sheet 1 contains the data to populate Tables 5 and 6 of this paper. Such data are organized into three different tables: Table 1 shows the time spent by each developer on manually specifying each IFML element (summarized in Table 5 of the paper). Table 2 groups four different tables presenting the number of entities involved in the specification of each CRUD realization case, considering data entity relationships. This information is used in Table 6 of the paper. Table 3 just shows the mean times of manual development, which we used to calculate Table 2 (last column) of that sheet. Sheet 2 contains two tables necessary to create part of Table 7 in the paper. Concretely, Table 1 provides the values shown in its row 2, while Table 2 contains the base measurements to compute the values shown in its row 9 (CRUD operation costs (tool aided)). Sheet 3 contains data about CRUD operation cost for each project considered, useful for Table 7 in the paper. Table 1 shows manual specification cost (time) whilst Table 2 presents tool-aided cost (rows 7 and 9, respectively). Sheet 4 also contains data for Table 7 and Figure 10 in the paper. In particular, Table 1 presents the values needed for rows 6 to 10, while Table 2 shows the data to calculate the percentage of time dedicated to CRUD specification with respect to both the total project time and the time dedicated to IFML specification for each project (row 8). (Supplementary Materials)
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