Behavior-Driven Development of Microservice Applications

As the number of microservice applications rises, different development methodologies for them are under consideration. In this manuscript, we propose a behavior-driven development method for microservice applications. The proposed method starts with writing end-to-end tests at the system or application level and then moves down to the microservice level, where component and unit tests are written. Next, code that passes these tests is developed one by one for each level. Once user stories are covered, our method loops again to integrate negative tests to achieve holistic testing for the microservices and the application. Finally, the proposed method is validated with an application with five microservices. Results confirm that the proposed method matches with the generally accepted test pyramid.

On the question of a method for researching user requirements for software

Методы User Story все чаще используются в качестве основы артефактов проектирования требований при разработке программного обеспечения. На практике доказано, что метод User Story является более эффективным для описания основных целей системы. Но непрерывное управление работой программного обеспечения может быть особенно трудоемким и подверженным ошибкам, особенно при оценке качества или объема пользовательских историй и наблюдении за общей картиной системы. С другой стороны, эти модели были признаны эффективными инструментами коммуникации и анализа цели. В рамках данной работы рассмотрены и проанализированы методы выявления и представления требований к разработке программного обеспечения. В статье предлагается генеративный подход для создания диаграмм надежности на основе автоматизированного анализа пользовательских историй. Истории преобразуются в диаграммы, что позволяет разработчикам требований и пользователям проверять основные концепции и функциональные этапы, лежащие в основе историй, и обнаруживать искаженные или избыточные истории. Такие модели также открывают двери для автоматизированного систематического анализа. The User Story methods (user stories) increasingly are used as the basis of requirements design artifacts in software development. In practice, it is proved that the User Story method is more effective for describing the main goals of the system. But continuous management of software operation can be particularly time-consuming and error-prone, especially when evaluating the quality or volume of user stories and observing the overall picture of the system. On the other hand, these models were recognized as effective tools for communication and goal analysis. Within the framework of this work, methods for identifying and presenting requirements for software development are considered and analyzed. In the article, we propose a generative approach for creating reliability diagrams based on automated analysis of user stories. Stories are converted into diagrams, which allow requirements developers and users to check the basic concepts and functional stages underlying the stories, and detect distorted or redundant stories. Such models also open the door for automated systematic analysis.

DiSSCo e-Services to Serve Global Community Needs

DiSSCo (Distributed System of Scientific Collections) is a research infrastructure (RI) under development, which will provide services for the global research community to support and enhance physical and digital access to the natural history collections in Europe. These services include training, support, documentation and e-services. This talk will focus on the e-services and will give an overview of the current status, roadmap and first results as an introduction to the next talks in the session, which focus on some of the services in more detail and the standards work undertaken in Biodiversity Information Standards (TDWG) to enable them. The RI community will provide the envisioned e-services, which will use the novel FAIR Digital Object (FDO) infrastructure serving digital specimens from the European collections. The infrastructure will provide integrated data analysis, enhanced interpretation, annotation and access services for community curation and visualisation. The FDO infrastructure enables specimen data to be (re-)connected with genomic, geographical, morphological, taxonomic and environmental information through the digital specimen, making them Digital Extended Specimens. A large number of user stories have been collected through the DiSSCo-linked projects ICEDIG, SYNTHESYS+ and DiSSCo Prepare, to guide which e-Services to build and what functionality to provide. These user stories are publicly available in a github repository. The e-services are developed based on the user stories and prioritization provided by collection providers and the scientific community. A variety of mechanisms are used to collect input: surveys, workshops, roundtables and workpackage meetings, and feedback from users that have already been using beta versions of some of the services. DiSSCo aims to become operational in 2026 but several of the services are already being piloted or implemented. Experimental services and demonstrators are publicly available through DiSSCo Labs for testing and feedback. By connecting the specimen data with derived and related information in a FAIR way (Findable, Accessible, Interoperable and Reusable), the e-services will accelerate biodiversity discovery and support novel research questions. The FDO infrastructure has a data model that also integrates the PROV Ontology (PROV-O), which allows for the e-services to capture activities and improve the visibility of researcher contributions. This vision towards FAIR and high quality data is essential for community curation of the specimen data and making better use of the limited number of experts available. To provide the DiSSCo e-services in a FAIR way, the data derived from the natural history collections in Europe needs to be integrated as one virtual collection. The data has to be findable and accessible as soon as it is being created for services like a Specimen Data Refinery prior to publication in a facility like GBIF (Global Biodiversity Information Facility). This requires new standards for describing collections and specimen data. Standards being created to fill these gaps are TDWG CD (Collection Descriptions) and TDWG MIDS (Minimum Information about a Digital Specimen). The DiSSCo e-Services vision brings the data, standards, and processes together to serve the user community.