Scrum solo application in a project with a strong integration component

In Portugal, 90% of software developing companies are micro companies. In 2002, in the Brazilian market, about 60% of the software developing companies would start their activities with just a single developer (Pagotto, Fabrti, Lerario, and Gonçalves, 2016). The Scrum Solo methodology was developed having in mind, that there is a big need for organizing and managing the software development of teams comprised by a single individual. The underlying complexity of big systems and the underlying integration complexity makes the usage of techniques and processes that guarantee the control of the project vital. The methodology described in this document is validated with two application cases in a context of development. The first one is an extensive project, with strong integration component, and the second one the development of an application for process dematerialization. The Scrum Solo methodology performed well in both cases despite their differences. Nevertheless, more cases should be analysed with the emphasis in using different contexts namely other organizations.FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/202

Virtual customer service: building your chatbot

Nowadays, there is a significant evolution in the simulation of conversations with humans through chats. These chatbots provide an improvement in organizational efficiency and enhance the performance in supporting customers and partners. That is why they are increasingly a trend on the web. There are several solutions to conversational virtual agents and chatbots at this time. Many of these solutions have built-in artificial intelligence, natural language processing, and understanding systems. This research aims to build a roadmap for those who want to develop a virtual assistant using a framework or a pre-built solution. This work compares the several products related to chatbots providing information that helps one to find the best solution for each case.INCT-EN - Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção(UID/CEC/00319/2019

IJTGR Volume 1(i) Table of Contents

Table of Contents for the Inaugural Issue of The International Journal of Tour Guiding Researc

Performance comparison of Machine Learning algorithms in classifying information technologies incident tickets

Technological problems related to everyday work elements are real, and IT professionals can solve them. However, when they encounter a problem, they must go to a platform where they can detail the category and textual description of the incident so that the support agent understands. However, not all employees are rigorous and accurate in describing an incident, and there is often a category that is totally out of line with the textual description of the ticket, making the deduction of the solution by the professional more time-consuming. In this project, a solution is proposed that aims to assign a category to new incident tickets through their classification, using Text Mining, PLN and ML techniques, to try to reduce human intervention in the classification of tickets as much as possible, reducing the time spent in their perception and resolution. The results were entirely satisfactory and allowed to us determine which are the best textual processing procedures to be carried out, subsequently achieving, in most of the classification models, an accuracy higher than 90%, making its implementation legitimate.This work has been suported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020

Development of self-diagnosis tests system using a DSL for creating new test suites for integration in a cyber-physical system

Testing Cyber-physical systems (CPS) requires highly qualified engineers to design the tests since its computational part is programmed in low-level languages. The origin of this work arises from the need to find a solution that optimizes this problem and allows abstracting the current methods so that the tests can be created and executed more efficiently. We intend to do this by creating a self-diagnosis tests system that allows us to automate some of the current processes in the creation and execution of test suites. The work presented here addresses the problem by creating a new self-diagnosis tests system that will guarantee the reliability and integrity of the CPS. In detail, this paper begins by exposing a study on the current state of the art of test automation, Keyword-driven Testing (KDT) methodology and Domain-specific Languages (DSL). A new modular and extensible architecture is proposed for self-diagnosis tests systems based on two main concepts: the creation of a DSL combined with the use of the KDT methodology, as well as a methodology to extend it and integrate it into a CPS. A new self-diagnosis tests system has been proposed that applies the proposed architecture proving that it is possible to carry out the self-diagnosis in real-time of the CPS and allowing the integration of any type of test. To validate the implementation of the system, 28 test cases were carried out to cover all its functionalities. The results show that all test cases passed and, therefore, the system meets all the proposed objectives.(undefined

Architecture based on keyword driven testing with domain specific language for a testing system

For Cyber-physical systems (CPSs), whose task is to test industrial products, to carry out these tests, highly qualified engineers are always needed to design the tests, since the computational part of the tests is programmed in low-level languages. To optimize this process, it is necessary to create an abstraction of current methods so that tests can be created and executed more efficiently. Although this problem has arisen within the CPS, the architecture we propose will be generic enough to solve the problem in any testing system. We intend to do this by automating some of the current processes to minimize human error. In this paper, we present a novel architecture for a testing system that abstracts single low-level programming and coding of tests, based on two main concepts: the use of Keyword Driven Testing (KDT) that will abstract tests to the person responsible for the machine; the creation of a Domain Specific Language (DSL) to help configure and design new tests without requiring the experience of a highly qualified engineer.This paper is a result of the project POCI-01-0247-FEDER-040130, supported by Operational Program for Competitiveness and Internationalization (COMPETE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF)