In 2016, the Japanese Council for Science, Technology and Innovation (CSTI) proposed a project about sustainable smart societies known as Society 5.0. Society 5.0 advocates the use of advances in computer science and software engineering such as internet of things, artificial intelligence, augmented and virtual reality, as a way of resolving societal issues such as reducing the number of deaths in everyday traffic, reducing the amount of greenhouse gas emissions, and so forth. In this thesis, we report on the planning, execution, and results of a systematic mapping study aiming at understanding the role of software engineering in Society 5.0. To this end, we focus on identifying the main software engineering technologies enabling Society 5.0 as well as the main software engineering open challenges hampering its realisation. Starting from an initial set of 829 peer-reviewed publications and by means of a rigorous selection process, we selected a final set of 58 primary studies, which we analysed following a meticulous data extraction, analysis, and synthesis process. The selected primary studies described a set of 13 software engineering technologies acting as enablers of Society 5.0. The application of these technologies comes with technical challenges. In this respect, the selected primary studies identified 9 software engineering open challenges hampering the realisation of Society 5.0.

Context: Modeling is an important activity, which is used, in different phases of software engineering. Without models and modeling, it is nearly impossible to design and develop software systems, which demands the need for modeling to be taught in software engineering. There exist a number of reported models, methods, tools and languages to teach modeling in software engineering, which suggests the need for a classification and an overview of the area. This research investigates the state of published research on teaching modeling in software engineering in order to provide a systematic overview and classification of these different ways of teaching modeling with an insight on their importance and relevance to this research area. Objectives: The overall goal of the research was achieved with fulfilling the following objectives: understanding how systematic mapping is conducted, developing a systematic mapping process that will properly provide data for investigating the published research, applying the process, and finally reflecting on the results of the mappings, analyzing the importance and evaluating relevance of the published research. Methods: Systematic literature review was used as a tool to understand and inspect how systematic mapping was carried out in the area of software engineering. Based on the results of systematic literature review, new guidelines were formulated to conduct systematic mapping. These guidelines were used to investigate the published research on teaching modeling in software engineering. The results obtained through the systematic mapping were evaluated based on Industrial relevance, Rigor and citation count to examine their importance and identify research gaps. Results: 131 articles were classified into five classes such as Languages, Course Design, Curriculum design, Diagrams, others using semi-manual classification scheme and classification facets such as the type of audience, type of contribution, type of research, type of publication, type of publication year, type of research method and type of study setting. After the evaluation of Industrial relevance, rigor & citation ranking on the obtained results of the classification, 8 processes, 4 tools, 3 methods, 2 measurement-metrics and 1 model were extracted to teach modeling in software engineering. Also, this classification when compared with an existing classification, which is based on interviews and discussions, showed that our classification provides a wider overview with a deeper insight of the different ways to teach modeling in software engineering. Conclusions: Results of this systematic mapping study indicate that there is an increase in the research activity on teaching modeling in software engineering, with Unified Modeling Language (UML) being the widely research area. Much research is emphasized on teaching modeling to students from academia which indicates a research gap in developing methods, models, tools and processes to teach modeling to students/practitioners from the industry. Also, considering the citation ranking, industrial relevance and rigor of the articles, areas such as course design and curriculum development are highly neglected, suggesting the need for more research focus. / Sammanhang : Modellering är en viktig verksamhet , som används i olika faser av programvaruteknik . Utan modeller och modellering , är det nästan omöjligt att utforma och utveckla mjukvarusystem , vilket kräver behovet av modellering för att undervisas i programvaruteknik . Det finns ett antal rapporterade modeller, metoder , verktyg och språk för att undervisa modellering i programvaruteknik , vilket tyder på att det behövs en klassificering och en överblick över området . Denna forskning undersöker tillståndet av publicerad forskning om undervisning modellering i programvaruteknik för att ge en systematisk överblick och klassificering av dessa olika sätt att undervisa modellering med en insikt om deras betydelse och relevans för detta forskningsområde . Mål : Det övergripande målet med forskningen uppnåddes med att uppfylla följande mål : att förstå hur systematisk kartläggning genomförs , att utveckla en systematisk kartläggning process som riktigt kommer att ge data för att undersöka publicerad forskning , tillämpning av processen , och slutligen reflektera över resultaten av de avbildningar, som analyserar betydelsen och utvärdera relevansen av den publicerade forskningen . Metoder : En systematisk litteraturstudie användes som ett verktyg för att förstå och kontrollera hur systematisk kartläggning genomfördes inom området programvaruteknik . Baserat på resultaten av en systematisk litteraturgenomgång har nya riktlinjer som formulerats för att bedriva systematisk kartläggning . Riktlinjerna användes för att undersöka den publicerade forskning om undervisning modellering i programvaruteknik . De resultat som erhållits genom systematisk kartläggning utvärderades baserat på industriell relevans , Rigor och stämningen räkning för att undersöka deras betydelse och identifiera kunskapsluckor . Resultat: 131 artiklar klassificerades i fem klasser , t.ex. språk , kurs Design , Curriculum design, diagram , andra med hjälp av semi - manuell klassificeringssystem och klassificerings fasetter såsom typ av publiken , typ av bidrag , typ av forskning , typ av publikation , typ av årtal , typ av forskningsmetod och typ av studieinställning. Efter utvärderingen av industriell relevans , noggrannhet och stämningen ranking på de erhållna resultaten av klassificeringen , 8 processer , 4 verktyg , 3 metoder , 2 mät - mått och 1 modell extraherades att lära modellering i programvaruteknik . Även denna klassificering i jämförelse med en befintlig klassificering , som bygger på intervjuer och diskussioner , visade att vår klassificering ger en bredare överblick med en djupare insikt om de olika sätten att lära modellering i programvaruteknik . Slutsatser : Resultaten av denna systematiska kartläggning visar att det finns en ökning av forskningsverksamheten på undervisning modellering i programvaruteknik , med Unified Modeling Language ( UML ) är den brett forskningsområde. Mycket forskning framhävs att lära modellering för studenter från den akademiska världen , som indikerar en lucka forskning för att utveckla metoder, modeller , verktyg och processer för att lära modellering för studenter / utövare från branschen . Dessutom , med tanke på stämningen ranking , industriell relevans och noggrannhet av artiklarna , områden som kursdesign och utveckling av läroplaner är mycket eftersatt , vilket tyder på att det behövs mer forskning fokus. / Flat # 503,Sri Krishna Residency, Mangapuram Colony,Vizag, Andhra Pradesh, India- 530017. +9989733724

In 2015, the United Nations (UN) put forward 17 Sustainable Development Goals (SDGs) to beachieved by 2030. Each member state should spare no effort to fulfill the goals for better lives. Thefirst objective of this study was to explore how Big Data could be used to monitor the progress,including the opportunities and challenges that such novel technologies brought. Previous studieswere reviewed critically for the first objective. The second objective was to find out what datainfrastructures were helpful in monitoring the achievement of SDG 7. A systematic mapping studywas performed to accomplish the second objective. 53 SDG-related academic papers were obtained.Their research data and where they were sourced from were manually analyzed and categorized togenerate data infrastructures for SDG 7. Besides, the automated qualitative coding was conductedbased on the manual structure to verify the manually identified data infrastructures and comparetheir frequencies in the selected papers. The methodology of combining manual and automatedqualitative analysis proposed in this study helped find a list of SDG 7 related data infrastructures.Although there were differences between the manual and automated results, the World Bank, UNdatabases, Eurostat, and IEA were considered the most frequently referred data sources; electricitydata and satellite imagery were regarded as the most commonly used data types.

L'automatisation de la génération des artefacts textuels à partir des modèles est une étape critique dans l'Ingénierie Dirigée par les Modèles (IDM). C'est une transformation de modèles utile pour générer le code source, sérialiser les modèles dans de stockages persistents, générer les rapports ou encore la documentation. Parmi les différents paradigmes de transformation de modèle-au-texte, la génération de code basée sur les templates (TBCG) est la plus utilisée en IDM. La TBCG est une technique de génération qui produit du code à partir des spécifications de haut niveau appelées templates. Compte tenu de la diversité des outils et des approches, il est nécessaire de classifier et de comparer les techniques de TBCG existantes afin d'apporter un soutien approprié aux développeurs. L'objectif de ce mémoire est de mieux comprendre les caractéristiques des techniques de TBCG, identifier les tendances dans la recherche, et éxaminer l'importance du rôle de l'IDM par rapport à cette approche. J'évalue également l'expressivité, la performance et la mise à l'échelle des outils associés selon une série de modèles. Je propose une étude systématique de cartographie de la littérature qui décrit une intéressante vue d'ensemble de la TBCG et une étude comparitive des outils de la TBCG pour mieux guider les dévloppeurs dans leur choix. Cette étude montre que les outils basés sur les modèles offrent plus d'expressivité tandis que les outils basés sur le code sont les plus performants. Enfin, Xtend2 offre le meilleur compromis entre l'expressivité et la performance. / A critical step in model-driven engineering (MDE) is the automatic synthesis of a textual artifact from models. This is a very useful model transformation to generate application code, to serialize the model in persistent storage, generate documentation or reports. Among the various model-to-text transformation paradigms, Template-Based Code Generation (TBCG) is the most popular in MDE. TBCG is a synthesis technique that produces code from high-level specifications, called templates. It is a popular technique in MDE given that they both emphasize abstraction and automation. Given the diversity of tools and approaches, it is necessary to classify and compare existing TBCG techniques to provide appropriate support to developers. The goal of this thesis is to better understand the characteristics of TBCG techniques, identify research trends, and assess the importance of the role of MDE in this code synthesis approach. We also evaluate the expressiveness, performance and scalability of the associated tools based on a range of models that implement critical patterns. To this end, we conduct a systematic mapping study of the literature that paints an interesting overview of TBCG and a comparative study on TBCG tools to better guide developers in their choices. This study shows that model-based tools offer more expressiveness whereas code-based tools performed much faster. Xtend2 offers the best compromise between the expressiveness and the performance.

Les Revues Systématiques (RS) offrent une méthode rigoureuse pour identifier et analyser les résultats dans la littérature relatifs à un sujet d'intérêt particulier. La réalisation d'une RS est connue pour être une tâche demandant beaucoup de temps et de travail qui nécessite un protocole bien documenté avec plusieurs itérations. Il suit un processus systématique pour atteindre des résultats reproductibles, objectifs et complets. Les outils qui permettent d'automatiser certaines tâches du processus sont d'une grande valeur pour les chercheurs. Cependant, d'importantes fonctionnalités liées à la réalisation de RS de manière collaborative et itérative font encore défaut dans les outils existants. Dans ce mémoire, nous présentons ReLiS, un outil pour installer et configurer automatiquement des projets RS à réaliser de manière collaborative et itérative en ligne. Le développement de ReLiS suit une approche de développement basée sur les modèles. Il dispose d'un éditeur de modèle spécifique au domaine adapté aux chercheurs qui réalisent des RS et d'une architecture qui permet l'installation progressive et la (re)configuration de plusieurs projets SR en cours de réalisation. / Systematic Reviews (SR) provide a rigorous method to find and analyze the literature evidence relating to a particular topic of interest. Conducting SR is known to be an effort intensive and time-consuming endeavor that requires a properly documented protocol and several iterations to setup right. It follows a systematic process to achieve repeatable, unbiased and complete outcomes. Tools that help automate some tasks of the process are of tremendous value for researchers. However, important features related the conduction of SR in a collaborative and iterative way are still lacking in existing tools. In this thesis we present ReLiS, a tool to automatically install and configure SR projects to conduct them collaboratively and iteratively on the cloud. ReLiS is engineered following a model-driven development approach. It features a domain-specific modeling editor tailored for researchers who perform SR and an architecture that enables on-the-fly installation and (re)configuration of multiple concurrently running SR projects.