Examinando por Autor "Zaraté, Pascale"
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Acceso Abierto A Modelling Approach to Generating User Acceptance Tests(2018) Antonelli, Leandro; Camilleri, Guy; Grigera, Julián; Hozikian, Mariángeles; Sauvage, Cécile; Zaraté, PascaleSoftware testing, in particular acceptance testing, is a very important step in the development process of any application since it represents a way of matching the users’ expectations with the finished product´s capabilities. Typically considered as a cumbersome activity, many efforts have been made to alleviate the burden of writing tests by, for instance, trying to generate them automatically. However, testing still remains a largely neglected step. In this paper we propose taking advantage of existing requirement artifacts to semiautomatically generate acceptance tests. In particular, we use Scenarios, a requirement artifact used to describe business processes and requirements, and Task/Method models, a modelling approach taken from the Artificial Intelligence field. In order to generate acceptance tests, we propose a set of rules that allow transforming Scenarios (typically expressed in natural language), into Task/Methods that can in turn be used to generate the tests. Using the proposed ideas, we show how the semi-automated generation of acceptance tests can be implemented by describing an ongoing development of a proof of concept web application designed to support the full process. - Documento de conferencia
Acceso Abierto Scenarios, shared understanding, and group decision support to foster innovation networks(2023) Agredo-Delgado, Vanessa; Antonelli, Leandro; Collazos, César A.; Fernández, Alejandro; Zaraté, Pascale; Camiller, Guy; Hurtado, Julio; Lezoche, Mario; Motz, Regina; Panetto, Herve; Torres, DiegoCollaborative innovation involves diverse individuals and organizations working together to develop new ideas, products, or services. Successful collaboration in networked innovation projects is challenging due to the need to cross the knowledge boundaries that exist between organizations, disciplines, and cognitive frames. We propose an approach to support knowledge mobilization and learning in networked innovation projects. Scenarios, stored in a shared repository, are used to capture and share information about application and solution domains. A collaborative process guides participants to reach a shared understanding and construct shared meaning. Stakeholders engage in a collaborative decision-making process of scenario ranking that includes identifying and negotiating comparison criteria. Although the approach is presented with examples in the domain of agriculture, where validation of the constituent elements took place, it is domain independent. - Artículo
Acceso Abierto Supporting multi-criteria decision-making across websites: the Logikós approach(2021) Fernández, Alejandro; Zaraté, Pascale; Gardey, Juan Cruz; Bosetti, Gabriela AlejandraOnline customers frequently conduct activities that involve multi- criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Pro- cess) can be e ectively o ered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two di erent countries. An illustrative scenario provides insight into the application of the approach and the role of the sup- porting tools. Evaluation showed that users appreciate creating AHP models speci c to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision pro les (i.e., AHP mod- els created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it. - Artículo
Acceso Abierto User acceptance test for software development in the agricultural domain using natural language processing(2023) Antonelli, Leandro; Camilleri, Guy; Torres, Diego; Zaraté, PascaleSoftware test case design is one of the most challenging activities since many actors with different backgrounds must cover most of the user’s needs and expectations. In the agricultural domain tasks can be done in very different ways since practices vary worldwide. Thus, in this context, it is very hard to design test cases to validate requested functionality that automatizes some farm tasks. This paper proposes an approach to make the testing step easier, designing User Acceptance Tests (UATs) from requirements captured through scenarios. The scenarios capture the knowledge of different stakeholders (farmers) and using natural language processing tools, the approach proposed to consolidate the set of scenarios in a consistent and coherent base of knowledge organised in a tree, from where the design of test cases is extracted using the Task/Method model, a tool from the Artificial Intelligence. - Documento de conferencia
Acceso Abierto A user interface design for consistent pairwise comparisons(2021) Cimadamore, Andrés; Fernández, Alejandro; Zaraté, PascaleDecision Makers generally reason on several criteria, aiming to obtain a total or partial order of several alternatives. MultiCriteria analysis is based on the assumption that such ordering exists. Decision Makers are supported by several kinds of approaches or tools. One approach consists in comparing the criteria two by two, i.e. pairwise comparison, in order to find the relative importance of each criterion. This relative importance, called weight of criteria, is then used in order to find the final order of alternatives. One methodology, developed by Saaty, called Analytical Hierarchical Process (AHP) (1), is based on this principle of pairwise comparison. Having the weight of criteria, the decision makers have then to compare the alternatives two by two for each criteria. Pairwise comparisons are simple to use; however, as the number of items to compare increases, so do the effort of conducting all comparisons and the probability of introducing inconsistencies. In this article present an innovative approach to conduct pairwise comparisons based on a UI widget that resembles an interactive data plot. It uses the transitivity property of a consistent comparison matrix to infer comparisons. Our hypothesis is that this new approach is more efficient (as it reduces the number of actions the user must conduct to compare all items), more effective (as it limits the sources of inconsistencies), and yields better user satisfaction. Experimental evaluation is currently underway to compare the proposed widget to the more traditional questionnaire view, with focus on usability in terms of perceived ease of use, efficiency and efficacy. - Parte de libro
Acceso Abierto A User Interface for Consistent AHP Pairwise Comparisons(Springer, Cham, 2021) Cimadamore, Andrés; Fernández, Alejandro; Ye, Chenhui; Zaraté, Pascale; Kamissoko, DaoudaDecision Makers generally reason on several criteria, aiming to obtain a total consistency or partial order of several alternatives. MultiCriteria analysis is based on the assumption that such ordering exists. Decision Makers are supported by several kinds of approaches or tools. One approach consists in comparing the criteria two by two, i.e. pairwise comparison, to find the relative importance of each criterion. This relative importance, called weight of criteria, is used to find the final order of alternatives. One methodology, developed by Saaty, called Analytical Hierarchical Process (AHP), is based on this principle of pairwise comparison. Having the weights of criteria, the decision makers have then to compare the alternatives two by two for each criterion. Pairwise comparisons are simple to use; however, as the number of items to compare increases, so do the effort of conducting all comparisons and the probability of introducing inconsistencies. In this article we present an innovative approach to conduct pairwise comparisons based on a UI widget that resembles an interactive data plot. It uses the transitivity property of a consistent comparison matrix to infer comparisons. Our hypothesis is that this new approach is more efficient (as it reduces the number of actions the user must conduct to compare all items), more effective (as it limits the sources of inconsistencies), and yields better user satisfaction. We conducted a controlled experiment involving 50 participants. We observed that the proposed widget reduces the effort of making pairwise comparisons, improves the consistency of the comparisons, and leads to a better user experience. - Documento de conferencia
Acceso Abierto UX Challenges in GDSS: An Experience Report(2019) Sakka, Amir; Bosetti, Gabriela Alejandra; Grigera, Julián; Camilleri, Guy; Fernández, Alejandro; Zaraté, Pascale; Bimonte, Sandro; Sautot, LucileIn this paper we present a user experience report on a Group Decision Support System. The used system is a Collaborative framework called GRoUp Support (GRUS). The experience consists in three user tests conducted in three different countries. While the locations are different, all three tests were run in the same conditions: same facilitator and tested process. In order to support the end-users. we teach the system in two different ways: a presentation of the system, and a video demonstrating how to use it. The main feedback of this experience is that the teaching step for using Collaborative tools in mandatory. The experience was conducted in the context of decision-making in the agriculture domain. - Parte de libro
Acceso Abierto Web-augmentation, design thinking, and collaboration engineering to foster innovation in DSS for agriculture: a case study(2019) Urbieta, Matías; Firmenich, Sergio; Zaraté, Pascale; Fernández, Alejandro; Jorge E. Hernández; Janusz KacprzykDecision making in agriculture increasingly relies on software, for example to gather important information or to weight alternatives. Information systems innovation in agriculture is a challenging and very active area. Existing software products, frequently implemented as web applications, are found to lack functionality, for example to support collaboration. Augmenting the web is a widely adopted technique for enhancing existing applications with new features which are not available out-of-the-shelf. Design thinking has proven to be an effective tool to support innovation on many domains. Collaboration Engineering is an effective means to reuse design experience of collaboration strategies. This work presents an approach to involve end-users in enhancing exiting web software to produce incremental innovations. The approach relies on Design Thinking, Web Augmentation and Collaboration Engineering. The approach was successfully tried in a case study letting end-users add collaboration support to a system that did not provide it.