Automated analysis of feature models: Quo vadis?

Feature models have been used since the 90's to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances and settling the basis of the area of Automated Analysis of Feature Models (AAFM). From then on, different studies have applied the AAFM in different domains. In this paper, we provide an overview of the evolution of this field since 2010 by performing a systematic mapping study considering 423 primary sources. We found six different variability facets where the AAFM is being applied that define the tendencies: product configuration and derivation; testing and evolution; reverse engineering; multi-model variability-analysis; variability modelling and variability-intensive systems. We also confirmed that there is a lack of industrial evidence in most of the cases. Finally, we present where and when the papers have been published and who are the authors and institutions that are contributing to the field. We observed that the maturity is proven by the increment in the number of journals published along the years as well as the diversity of conferences and workshops where papers are published. We also suggest some synergies with other areas such as cloud or mobile computing among others that can motivate further research in the future.Ministerio de Economía y Competitividad TIN2015-70560-RJunta de Andalucía TIC-186

Fostering a consistent SPL service ecosystem

Nowadays, Software Product Line (SPL) researchers and practi tioners have a diversity of Automated Analysis of Feature Models (AAFM) tools at their disposal. However, only a few applications are compatible between them. This, increases time to market of new applications and hinders application usage by researchers and prac titioners. In this tutorial, we present how we can successfully create an ecosystem of SPL tools that can be integrated to o er a better user experience. Concretely, we will show how to i) easily provide a common REST interface to an SPL analysis tool thus, fostering application integration; ii) automatically o er a web graphical edi tor to interact with the tool, thus, promoting its usage by end users; and, iii) enable the governance of the applications and create a customized portal for pricing plans. Also, we show other bene ts such as the automatic creation of demo sites for review purposes

A Component-Based Architecture for Suspense Modelling

Suspense is a key narrative issue in terms of emotional gratification, influencing directly the way in which the audience experiences a story. Disciplines like psychology, neurology or e-learning study the suspense as the basis of useful techniques for the treatment of mental diseases or improving memory skills and the comprehension. In the field of creativity, it’s an essential cross strategy found in almost any book, film and video-game plots, regardless of technology and genre. With the objective of generating engaging stories, some automatic storytelling systems implement a suspense generation module. These systems are mainly based on narrative theories. However, we observe a lack of aspects from behavioral sciences, involving the study of empathy and emotional effect of scene objects in the audience. Generated plots with an adequate treatment of these features may involve benefits in areas as education and psychology. In this paper, we propose a component-based architectural model that firstly aims to identify and extract all these individual factors of the suspense from a scene; in a second step, the system calculates the level of suspense using a weighted corpus; in the last step, it alters those elements to increase or decrease the original suspense level and reassembles them in a new scene. Further, we discuss the model facing the development challenges and its practical implications.This work has been funded by the Andalusian Government under the University of Cadiz programme for Researching and Innovation in Education. This paper has been partially supported by the projects WHIM 611560 and PROSECCO 600653 funded by the European Commission, Framework Program 7, the ICT theme, and the Future and Emerging Technologies FET program.8 page

El análisis de la competitividad de la industria manufacturera de exportación en México

Esta investigación tiene como objetivo evaluar la competitividad de la industria manufacturera de exportación en México. Se trata de una investigación documental de tipo cuantitativo longitudinal, donde se recopilaron los datos estadísticos de 2007 al 2014 y se aplicó una regresión lineal para determinar el crecimiento de la productividad por tipo de rama manufacturera. La conclusión a la que se llegó es la existencia de una dualidad industrial de México por un lado las industrias que están mayormente integradas a las economías globales, más sin embargo no tienen un encadenamiento productivo con la industria local significativo. Y por el otro, aquellas industrias que dependen del crecimiento endógeno del país existe una propensión mayor a su encadenamiento productivo

Quantifying the relationship between public sentiment and urban environment in Barcelona

Public sentiment provides an important social reference for urban management and planning. The relationship between public sentiment and a single type of land use has yielded stable results in previous studies. Hitherto, there has been relatively little research on the correlation of the entire urban environment with public sentiment. Based on the unit of statistical area in Barcelona city, this research uses Twitter sentiment to represent public sentiment and develops a regression model for understanding the interrelationship of four layers: sociodemographic, built-environment, human mobility and socioeconomic activities. The result shows that: 1) The long-term spatial difference in public sentiment has correlations with the urban environment, though it is not decisive. 2) Regardless of disruptive events that are directly associated with public sentiments, the wealthier areas show a more positive correlation with higher public sentiment. 3) The distribution of sentiment tweets (non-neutral) has a close relationship with places where there is a high flow of human activities. This study contributes to the systematic literature of urban applications of sentiment analysis with new empirical observations and a transferable methodology

No Agreement Without Loss: Learning and Social Choice in Peer Review

In peer review systems, reviewers are often asked to evaluate various features of submissions, such as technical quality or novelty. A score is given to each of the predefined features and based on these the reviewer has to provide an overall quantitative recommendation. However, reviewers differ in how much they value different features. It may be assumed that each reviewer has her own mapping from a set of criteria scores (score vectors) to a recommendation, and that different reviewers have different mappings in mind. Recently, Noothigattu, Shah and Procaccia introduced a novel framework for obtaining an aggregated mapping by means of Empirical Risk Minimization based on $L(p,q)$ loss functions, and studied its axiomatic properties in the sense of social choice theory. We provide a body of new results about this framework. On the one hand we study a trade-off between strategy-proofness and the ability of the method to properly capture agreements of the majority of reviewers. On the other hand, we show that dropping a certain unrealistic assumption makes the previously reported results to be no longer valid. Moreover, in the general case, strategy-proofness fails dramatically in the sense that a reviewer is able to make significant changes to the solution in her favor by arbitrarily small changes to their true beliefs. In particular, no approximate version of strategy-proofness is possible in this general setting since the method is not even continuous w.r.t. the data. Finally we propose a modified aggregation algorithm which is continuous and show that it has good axiomatic properties.Comment: preprint submitted to a conferenc

The microstratigraphic record of human activities and formation processes at the Mesolithic shell midden of Poças de São Bento (Sado Valley, Portugal)

Shell midden formation is largely controlled by an-thropogenic processes, resulting from human exploitation of aquatic resources. This makes shell middens archives of bothhuman behaviour and palaeoenvironmental records.However, their often complex stratigraphy hampers the isola-tion of individual anthropogenic events. In the central/ southern coast of Portugal, extensive inland estuaries were preferential settings for Mesolithic groups from c. 6200 calBC. Here, we present a microstratigraphic approach to theshell midden of Poças de São Bento, one of the largest and best-knownsitesintheSadoValley.Themicrofaciesapproachwas based on sedimentary components, their abundance andarrangement, and post-depositional processes. Anthropogenic processes identified as tossing events and anthropogenicallyreworked deposits allowed inferences on spatial organisation, preferential refuse areas, occupational surfaces, and temporal-ity of the occupations. The presence of calcareous pebbles inthe anthropogenic, shell-rich sediments, together with forami-nifera, presumably from the estuarine marshes, is compared with the regional geology, providing a hypothetical location of the shellfish gathering. The microstratigraphy described reveals a full internal dynamic in the formation of the apparently homogeneous shell midden layer. The human activities inferred at Poças de São Bento have many similarities with those reported for Cabeço da Amoreira in the nearby Tagus palaeo-estuary. This evidence points to the need for further micro-morphological approaches in similar deposits. The study of shell midden formation processes, through integrative microcontextual approaches, plays a major role in understanding Mesolithic societies in the large early Holocene estuary environments of Atlantic Iberia.info:eu-repo/semantics/publishedVersio

An updated checklist of Neotropical Plecoptera

Since the publication of the Catalogue of Neotropical Plecoptera of Froehlich in 2010, the description of 85 new species and further taxonomical changes raises the number of valid names to 596, most of them belonging to the highly speciose Anacroneuria.Fil: Pessacq, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; ArgentinaFil: Zúñiga, María del Carmen. Universidad del Valle; ColombiaFil: Duarte Simoes, Tácio. Universidade do Sao Paulo. Facultad de Filosofía, Letras e Ciencias Humanas; Brasi

Tony Soprano: el hablador

The Sopranos (Los Soprano, HBO: 1999-2007) constituye un hito fundamental en la nueva edad dorada que la televisión habría comenzado a transitar a partir de la proliferación de series dramáticas producida desde mediados de los años noventa. En la actualidad, las series se presentan como el modo privilegiado de narrar el mundo en una época caracterizada, entre otras cosas, por cierto gusto por lo íntimo. Desde esta perspectiva, la primera sesión de terapia a la que asiste el personaje principal de la serie será abordada en el presente artículo como una efectiva modalidad de tematización de la intimidad que, sosteniéndose a lo largo de todos sus capítulos y haciendo emerger de la figura de este personaje algunos de los rasgos presentes en la subjetividad contemporánea, vehiculizará una de las modalidades identificatorias prevalentes en la actualidad

A Deep Neural Network Approach for Online Topology Identification in State Estimation

This paper introduces a network topology identification (TI) method based on deep neural networks (DNNs) for online applications. The proposed TI DNN utilizes the set of measurements used for state estimation to predict the actual network topology and offers low computational times along with high accuracy under a wide variety of testing scenarios. The training process of the TI DNN is duly discussed, and several deep learning heuristics that may be useful for similar implementations are provided. Simulations on the IEEE 14-bus and IEEE 39-bus test systems are reported to demonstrate the effectiveness and the small computational cost of the proposed methodology.This work was supported by the Spanish Ministry of Innovation under Grant PID2019-104449RB-I00. Paper no. TPWRS-01989-2020.Publicad