Indicators dashboards and their usage in business analytics

У даній роботі розглянуті питання щодо застосування приладових панелей для вирішення задач бізнес-аналізу, що дозволяє поліпшити якість вирішення задач управління та аналізу діяльності підприємства.This paper considers the use of indicators dashboards in order to solve business analysis problems. It allows improving the quality of solving the management and analysis problems related to enterprise activities. The relevance of this research is defined by the need for continuous improvement of business performance of Ukrainian and foreign organizations due to the constant calls of the competitive environment. Therefore, this paper discusses the foundations of using dashboards in business analysis, their purpose, and role in organizational management. According to the considered survey, modern organizations tend to be interested in applying dashboards systems. This growing interest depends on huge analytical abilities of operational, tactical, and strategic dashboards that provide information for management decisions on each level of organizational governance. As the example, this work considers the prototype of the operational dashboard intended to visualize the selected indicators of the supply process. The common procedure of building the dashboard system based on indicators is outlined

Real-Time Business Process Recommendations

Process Mining is a discipline focused on the analysis of the data logged by the execution of deployed business processes. Business process’ execution is not linear and might entail many decisions that affect the process execution. Decision Mining is a sub-field of Process mining, focused on finding and supporting these decision points. The decision criteria used in these decision points is often not explicit or optimized. Most research, techniques and algorithms in this area have been focused on providing off-line management support as means of explicitly representing implicit decisions. The solution proposed in this document presents a system that will provide the business actors a Best Next Action recommendation during the execution of business processes. To do so, it will be automatically identifying possible decision points, mine its data objects, apply probabilistic supervised learning algorithms and predict the best actions

Enriching Business Process Models with Decision Rules

Making the right decisions in time is one of the key tasks in every business. In this context, decision theory fosters decision-making based on well-defined decision rules. The latter evaluate a given set of input parameters and utilize evidenced data in order to determine an optimal alternative out of a given set of choices. In particular, decision rules are relevant in the context business processes as well. Contemporary process modeling languages, however, have not incorporated decision theory yet, but mainly consider rather simple, guard-based decisions that refer to process-relevant data. To remedy this drawback, this paper introduces an approach that allows embedding decision problems in business process models and applying decision rules to deal with them. As a major benefit, it becomes possible to automatically determine optimal execution paths during run time

Constraint-based runtime prediction of SLA violations in service orchestrations

Service compositions put together loosely-coupled component services to perform more complex, higher level, or cross-organizational tasks in a platform-independent manner. Quality-of-Service (QoS) properties, such as execution time, availability, or cost, are critical for their usability, and permissible boundaries for their values are defined in Service Level Agreements (SLAs). We propose a method whereby constraints that model SLA conformance and violation are derived at any given point of the execution of a service composition. These constraints are generated using the structure of the composition and properties of the component services, which can be either known or empirically measured. Violation of these constraints means that the corresponding scenario is unfeasible, while satisfaction gives values for the constrained variables (start / end times for activities, or number of loop iterations) which make the scenario possible. These results can be used to perform optimized service matching or trigger preventive adaptation or healing

Desenvolvimento de ferramentas de apoio ao planeamento de industrialização de novos produtos

O presente trabalho resultou da realização de um estágio curricular na empresa Bosch Termotecnologia, SA. localizada em Cacia, Aveiro, Portugal. O trabalho consiste na proposta e implementação de um conjunto de ações de melhoria na área do planeamento de projetos de industrialização de novos produtos, com base na metodologia de planeamento Scrum e com apoio das melhores práticas. Ao longo do projeto é possível verificar uma adaptação à realidade de gestão e planeamento de projetos da organização e da equipa em questão, assim como a realização de um levantamento das dificuldades e necessidades do departamento. As soluções propostas e implementadas baseiam-se essencialmente num conjunto de medidas para simplificar e acelerar o processo de planeamento de projetos de industrialização, mantendo a exigência e eficiência técnica dos projetos desta envergadura. A metodologia Scrum, foi essencial para este projeto e para atingir as melhorias apresentadas.The current work represents the result of a curricular internship at Bosch Termotecnologia, SA. located at Cacia, Aveiro, Portugal. The work is based on a set of actions to improve industrialization of new products, project planning, taking the Scrum planning methodology and further best practices of project planning, as it basis. Throughout the project, it is possible to verify an adaptation to the team’s and the company’s, new planning and management practices, and also, an interpretation of the requirements and the needs in question. The proposed and implemented solutions are based essentially on a set of measures, created to simplify and increment some velocity on the industrialization planning process, keeping the demand and technical efficiency related to these type of projects. Scrum, methodology was essential to this project and to achieve the proposed goals

Evolution of security engineering artifacts: a state of the art survey

Security is an important quality aspect of modern open software systems. However, it is challenging to keep such systems secure because of evolution. Security evolution can only be managed adequately if it is considered for all artifacts throughout the software development lifecycle. This article provides state of the art on the evolution of security engineering artifacts. The article covers the state of the art on evolution of security requirements, security architectures, secure code, security tests, security models, and security risks as well as security monitoring. For each of these artifacts the authors give an overview of evolution and security aspects and discuss the state of the art on its security evolution in detail. Based on this comprehensive survey, they summarize key issues and discuss directions of future research

FlexMonitorWS : a solution for monitoring Web services with a focus on QoS attributes

Orientador: Cecília Mary Fischer RubiraDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Serviços Web são usados como uma das formas de se obter uma Arquitetura Orientada a Serviços (SOA). Com aspectos interoperáveis, dinâmicos e distribuídos, tais serviços agregam valores de negócio, são unidades de software com alta coesão e são utilizados para integração entre aplicações empresariais. Em um contexto de SOA, provedores de serviços devem oferecer garantias de funcionamento de seus serviços. Esta garantia é realizada através de atributos de Quality of Service (QoS) inseridos em contratos do tipo SLA (Service Level Agreement). Atributos de QoS podem ter flutuações ou mudança de estado ao longo do tempo, dado que um serviço opera em um ambiente de alta dinamicidade e alta imprevisibilidade que são propriedades inerentes ao contexto SOA. Diante deste cenário, há uma clara necessidade de se conhecer as variações que ocorrem nos atributos de QoS. Para isso, é fundamental aplicar uma monitoração que possibilite conhecer os valores de atributos de QoS para compreender o contexto geral do ambiente que opera o serviço. Uma boa solução de monitoração deve oferecer meios flexíveis de monitorar diferentes atributos de QoS (e.g. disponibilidade, desempenho e confiabilidade), de diferentes modos de operar, considerando diferentes alvos ligados ao serviço (e.g. servidor, rede e aplicação servidora). Por meio de uma Revisão Sistemática da Literatura identificamos que as soluções encontradas não apoiam a flexibilidade na monitoração. Face a este contexto, esta dissertação propôs a FlexMonitorWS uma solução de monitoração de serviços Web e de recursos de infraestrutura de TI ligada ao serviço Web. A FlexMonitorWS adota técnicas de Linhas de Produtos de Software para criar uma família de monitores a partir da variabilidade de software existente em sistemas de monitoração de serviços Web. Três estudos de caso foram executados para avaliar a viabilidade da ferramenta, obtendo-se resultados satisfatórios na entrega de valores de atributos de QoS e na compreensão do ambiente que opera o serviço Web. Ao final, apresentamos conclusões, contribuições e direções para trabalhos futurosAbstract: Web services are used as a way of obtaining a Service Oriented Architecture (SOA). With interoperable, dynamic and distributed aspects such services add business values are software units with high cohesion and are used to integrate business applications. In a SOA context, service providers must offer guarantees of the servces operations. This warranty is carried out by attributes Quality of Service (QoS) type contracts entered into SLA (Service Level Agreement). QoS attributes can have fluctuations or changes of state over time, given that a service operates in an environment of high dynamics and high unpredictability inherent in the SOA context properties. Given this scenario, there is a clear need to understand the fluctuations in the QoS attributes. Therefore, it is essential to apply a monitoring which allows to know the QoS attributes values to understand the overall context of the environment that operates the service. A good monitoring solution must offer flexible ways to monitor different QoS attributes (e.g. performance, availability and reliability) in different ways to operate, considering different targets linked to the service (e.g. server, network and server application). By analyzing existing solutions through a Systematic Literature Review identified that solutions do not support the flexibility in monitoring. Against this background, this thesis proposed a solution FlexMonitorWS monitoring of Web services and IT infrastructure resources connected to the Web services. FlexMonitorWS adopts techniques from Software Product Lines to create a monitors family from the existing variability in the Web services monitoring systems. Three case studies were performed to assess the tool feasibility, obtaining satisfactory results in delivering QoS attributes values and understanding to environment that operates the Web service. In the end, conclusions, contributions and directions for future work are presentedMestradoCiência da ComputaçãoMestre em Ciência da Computaçã