APMDWE 2019 Abstracts


Full Papers
Paper Nr: 1
Title:

Towards an Approach for Applying Early Testing to Smart Contracts

Authors:

N. Sánchez-Gómez, L. Morales-Trujillo and J. Torres-Valderrama

Abstract: Immutability - the ability for a Blockchain (BC) Ledger to remain an unalterable, permanent and indelible history of transactions - is a feature that is highlighted as a key benefit of BC. This ability is very important when several companies work collaboratively to achieve common objectives. This collaboration is usually represented by using business process models. BC is considered as a suitable technology to reduce the complexity of designing these collaborative processes using Smart Contracts. This paper discusses how to combine Model-based Software Development, modelling techniques, such as use cases models and activity diagram models based on Unified Model Languages (UML) in order to simplify and improve the modelling, management and execution of collaborative business processes between multiple companies in the BC network. This paper includes the neccessity of using transformation protocols to obtain Smart Contract code. In addition, it presents systematic mechanisms to evaluate and validate Smart Contract, applying early testing techniques, before deploying the Smart Contract code in the BC network.

Paper Nr: 3
Title:

Debugging Flaky Tests on Web Applications

Authors:

Jesus Morán, Cristian Augusto, Antonia Bertolino, Claudio de la Riva and Javier Tuya

Abstract: Testing web applications is a challenging practice because it involves managing asynchronous requests between clients and servers, the integration of heterogeneous technologies, and concurrent accesses to the resources. Therefore, rerunning the test cases of these applications under the same conditions is difficult as one test case can be executed in many different ways according to several environmental factors like memory, screen size or network. Moreover, some of these test cases could be flaky, i.e., due to environmental factors the test outcome can vary even though the application did not change. Understanding which factors are the root cause of flakiness is very important for web developers to both prevent and fix flakiness. This paper introduces a technique to locate the root causes of flakiness based on a characterization of the different environmental factors that are not controlled during the testing of web applications. The root cause of flakiness is located by a spectrum-based localization technique that analyses the execution of the same flaky test under different environmental factors that can trigger the flakiness. The technique is illustrated on an educational web platform named FullTeaching.

Paper Nr: 4
Title:

A Domain Specific Language for Web-based GIS

Authors:

Suilen H. Alvarado, Alejandro Cortiñas, Miguel R. Luaces, Oscar Pedreira and Angeles S. Places

Abstract: Geographic information systems (GIS) manage entities with a spatial component (typically, in the form of a point, line, or polygon defined according to a known geographic coordinate system), and provide specific operations to process them, and specific interfaces to visualize them. Although different GIS may provide a completely different set of functionalities, they all share a common set of concepts, architecture, and technologies. Therefore, in the development of GIS there are typically large parts of the system that can be very repetitive. In this paper, we present a domain-specific language to develop GIS from high-level declarative specifications. We present a metamodel for web-based GIS, and a domain-specific language based on that metamodel. We also present a usage example that shows how the language would be used in a real scenario.

Paper Nr: 5
Title:

Towards a Unified Model Representation of Machine Learning Knowledge

Authors:

Antonio Martínez-Rojas, Andrés Jiménez-Ramírez and Jose G. Enríquez

Abstract: Nowadays, Machine Learning (ML) algorithms are being widely applied in virtually all possible scenarios. However, developing a ML project entails the effort of many ML experts who have to select and configure the appropriate algorithm to process the data to learn from, between other things. Since there exist thousands of algorithms, it becomes a time-consuming and challenging task. To this end, recently, AutoML emerged to provide mechanisms to automate parts of this process. However, most of the efforts focus on applying brute force procedures to try different algorithms or configuration and select the one which gives better results. To make a smarter and more efficient selection, a repository of knowledge is necessary. To this end, this paper proposes (1) an approach towards a common language to consolidate the current distributed knowledge sources related the algorithm selection in ML, and (2) a method to join the knowledge gathered through this language in a unified store that can be exploited later on. The preliminary evaluations of this approach allow to create a unified store collecting the knowledge of 13 different sources and to identify a bunch of research lines to conduct.

Paper Nr: 6
Title:

A Web-based Model-driven Platform for Web Augmentation

Authors:

Matias Urbieta, Franco Mahl, Gustavo Rossi and Gabriela Bosetti

Abstract: The emergence of Web personalization allowed introducing improvements to an application that runs as a black box just considering those perceivable behaviors by the end-user. In spite of which mechanisms (personalization, customization, etc.) that a particular application supports; it is not realistic to state that any application, being idealized by few people (e.g., its owners), covers every single user’s needs. In this sense, users may have unsatisfied requirements. Nowadays available Web augmentations are making full use of server-side capabilities for meeting requirements. We present a Web Augmentation modeling approach contemplating a client-server application that hides the back-end complexity to users. In this work we present a Web CASE tool to model server-side behavior for Web augmentation. This tool provides a full web-based experience for designing and running Web augmentations that requires client and server-side components.

Short Papers
Paper Nr: 2
Title:

Systematic Development of ERP Modules using a Model-Driven Strategy Focusing on the Users

Authors:

M. A. Olivero, L. Morales-Trujillo, F. J. Domínguez-Mayo and M. Mejías

Abstract: ERP systems are composed of different functional modules on which each one addresses a different business area. Developments on these modules are managed independently on each one, which allow to handle and address the management of many related information requirements. In this context the startup G7Innovation works for its product iMEDEA. In this study we have combined two methodologies, Design Sprint and NDT 4.0; and systematized the development of ERP system modules. This combination allows you to use Design Sprint to generate and validate prototyping, and NDT 4.0 to do the study, analysis, and design of the software to be developed. In addition, according to the specifications defined in NDT, the code generation of the ERP module can be automated. This proposal has been validated in a case study in collaboration with the startup G7Innovation, where we have applied both methodologies on Odoo, an open source ERP system based in Python language. Thanks to the use of these two methodologies we have produced a module related to the needs of the clinic by reducing costs, times and human failures.