1,720,955 research outputs found
Exact Online Plugins for the Salesforce Platform
No full textExact is a global supplier of business software. Their online business solution, called Exact Online provides its users with a toolkit for Customer Relationship Management (CRM), HR, logistics and manufacturing with a particular focus on small- and medium sized businesses. Salesforce is a popular CRM system that is used by companies worldwide. Exact’s recent focus with Exact Online is on creating an ecosystem of (partner) companies around Exact Online by opening up data via an Application Programming Interface (API), offering a set of mobile apps, and by offering the possibility to integrate data from Exact Online into other business applications. For this Bachelor project, a project group consisting of two students created a plugin framework and a set of plugins that enable Exact to facilitate and develop plugins for Exact Online. The possibility to embed plugins with data from Exact Online within other business applications, will be a possible advantage for customers to choose for Exact Online above other business administration software. In particular, Exact wanted to have a set of plugins for CRM-system Salesforce. The project team, proposed to make the assignment more abstract by using a more generic approach. An advantage of such an approach is that a platform independent set of plugins can be offered. Consequently, it will be possible to embed plugins within multiple different business applications. The main challenge in this project was to maintain the features that an integration within a specific platform will offer, yet keeping a generic approach in order to realize a high degree of adaptability, extendability, maintainability and to allow a secure environment for data exchange. With the final prototype that the project team delivered at the end of this project, those goals have been achieved. The final prototype of the Exact Online Plugin framework can be embedded in two different ways in another application. Firstly, it is possible to use a plugin as a ‘stand-alone‘ version. A plugin can be embedded within another application, and show all data related to accounts in Exact Online. Secondly, it is possible to embed a plugin into another application while sending along data that belongs to the other application. These data can be for example company names or phone numbers. The plugin framework will then attempt to match the provided account data with accounts from Exact Online, and show a customized view adapted on and integrated with the ‘host‘ application. Matching is an essential part of the integration of external accounts with accounts from Exact Online. Algorithms that can be used to achieve this matching make use of the distance property of a set of words. In the implementation of the Exact Online Plugin framework this means that organization names are compared to see the degree of similarity between them. Moreover, the algorithms of Levenshtein, an algorithm of Jaro-Winkler and a combination of both are used in specific. The matching module is a feature that have been thoroughly tested, because of the use of a test-driven approach for development. This approach, helped to optimize the level of acceptance for the matching algorithms. Next to unit and user test, a detailed assessment has been made on the security of the application. The creation of a threat model helped to identify potential threats from a security point of view. Based on the findings, application improvements could be made. Concluding, the Exact Online Plugin Framework provides a flexible and maintenance-extensive way to create plugins for Exact Online. By maintaining a generic approach, it is possible to embed plugins within multiple different third-party applications, yet showing application-specific data because of a matching module that is built in.Technische InformaticaComputer ScienceElectrical Engineering, Mathematics and Computer Scienc
Mobiel Notificatie Systeem
No full textVoor ons bachelorproject doen we daarom onderzoek naar het versturen van mobiele notificaties. Hierbij hebben we als onderzoeksvraag: "Welke eisen en technische implicaties zijn er verbonden aan het implementeren van een applicatie voor het versturen van mobiele notificaties naar aanleiding van gebeurtenissen gegenereerd door een webapplicatie?" We hebben een notificatie systeem geïmplementeerd, dat als een "proof of concept" dient. Het systeem bestaat uit een Notificatie Applicatie en een Android Demo App. De Notificatie Applicatie is in staat om gebeurtenissen af te vangen en een notificatie te verzenden. Terwijl de Android Demo App zich kan registreren en de verstuurde notificatie kan ontvangen en weergeven. Hiermee hebben we een volledige cirkel gemaakt van het verzenden van een notificatie naar de gebruiker tot het ontvangen van de notificatie.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Performance Optimization of Deployed Software-as-a-Service Applications
No full textPreprint submitted to Elsevier. The goal of performance maintenance is to improve the performance of a software system after delivery. As the performance of a system is often characterized by unexpected combinations of metric values, manual analysis of performance is hard in complex systems. In this paper, we propose an approach that helps performance experts locate and analyze spots – so called performance improvement opportunities (PIOs) –, for possible performance improvements. PIOs give performance experts a starting point for performance improvements, e.g., by pinpointing the bottleneck component. The technique uses a combination of association rules and performance counters to generate the rule coverage matrix, a matrix which assists with the bottleneck detection. In this paper, we evaluate our technique in two cases studies. In the first, we show that our technique is accurate in detecting the timeframe during which a PIO occurs. In the second, we show that the starting point given by our approach is indeed useful and assists a performance expert in diagnosing the bottleneck component in a system with high precision.Software Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Using Pattern Recognition Techniques for Server Overload Detection
No full textOne of the key factors in customer satisfaction is application performance. To be able to guarantee good performance, it is necessary to take appropriate measures before a server overload occurs. While in small systems it is usually possible to predict server overload using a subjective human expert, an automated overload prediction mechanism is important for ultra-large scale systems, such as multi-tenant Software-as-a-Service (SaaS) systems. An automated prediction mechanism would be an initial step towards self-adaptiveness of such systems, a property which leads to less human intervention during maintenance, resulting in less errors and better quality of service. In order to provide such a prediction mechanism, it is important to have a solid overload detection approach, which is (1) a first step towards automated prediction and (2) necessary for automated testing of a prediction mechanism. In this paper we propose a number of steps which help with the design and optimization of a statistical pattern classifier for server overload detection. Our approach is empirically evaluated on a synthetic dataset.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Server Overload Detection and Prediction Using Pattern Classification
Get PDFOne of the key factors in customer satisfaction is the application performance. In traditional settings, it is usually not very difficult to manually detect a performance problem, however, with the advent of ultra-large-scale (ULS) systems [4], manual performance monitoring and prediction becomes tedious and would thus ideally require automation. A typical situation in such a system is depicted by Figure 1, in which a server overload occurs when approximately 500 requests are handled per second by the system. In order to prevent the overloaded state, we should be able to predict this state when the system is handling approximately 400 requests per second, so that it can be scaled up. Automating this prediction is typically hard, because many factors influence performance, and it is typically the human mind that excels at making the right (subjective) decisions based on multiple factors. It is our aim to automate performance prediction, for which we have two distinct goals in mind: (1) warn the system administrator for the need of an impending hardware upscaling and (2) provide an automatic overload prevention mechanism. An application in which such an automated prediction mechanism is very useful is in self-adaptive systems, which are capable of adapting their own behavior according to changes in the environment and the system itself [5]. Having such a mechanism will improve the quality of service as it helps these systems decide when to scale up. In this paper, we propose an approach for server overload prediction. An important aspect of our overload prediction mechanism is the performance monitoring method. Our performance monitoring is based on measuring a wide variety of so-called performance counters [1], such as the Memory\ Available Mbytes and Processor\%Processor Time counters. Rather than defining exact threshold values for the monitored performance counters, we propose to use pattern classification, which can assist with recognizing complex performance counter patterns. Paper accepted as a poster for the 8th International Conference on Autonomic Computing (ICAC 2011)Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
