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Open access

Konrad Leszczyński and Maciej Zakrzewicz

Abstract

It is a challenge to design a well balanced reputation system for an environment with millions of users. A reputation system must also represent user reputation as a value which is simple and easy to compare and will give users straightforward suggestions who to trust. Since reputation systems rely on feedbacks given by users, it is necessary to collect unbiased feedbacks

In this paper we present a controversial, yet innovative reputation system. Hidden and Indirect (Probabilistically Estimated) Reputations - HIPER Method splits user reputation into two related values: Hidden Reputation (HR) is directly calculated from a set of feedbacks, Indirect Reputation (IR) is a probabilistically estimated projection of the hidden reputation and its value is public. Such indirect connection between received feedbacks and a visible reputation value allows users to provide unbiased feedbacks without fear of retaliation.

Open access

Aleksander Jarzębowicz and Piotr Marciniak

. [39]Wellsandt S., Hribernik K., Thoben K., Qualitative comparison of requirements elicitation techniques that are used to collect feedback information about product use, In: Proc. of 24th CIRP Design Conference, 2014, 212-217. [40]Wiegers K., Beatty J., Software Requirements (3rd Edition), Microsoft Press, 2013. [41]Yousuf M., Asger M., Comparison of various requirements elicitation techniques, International Journal of Computer Applications, 116, 4, 2015. [42]Zhang Z., Effective requirements development - a comparison

Open access

Kristiāns Kronis and Marina Uhanova

Abstract

The paper describes the implementation of organic benchmarks for Java EE and ASP.NET Core, which are used to compare the performance characteristics of the language runtimes. The benchmarks are created as REST services, which process data in the JSON format. The ASP.NET Core implementation utilises the Kestrel web server, while the Java EE implementation uses Apache TomEE, which is based on Apache Tomcat. A separate service is created for invoking the benchmarks and collecting their results. It uses Express with ES6 (for its async features), Redis and MySQL. A web-based interface for utilising this service and displaying the results is also created, using Angular 5.

Open access

Natalija Kozmina and Darja Solodovnikova

On Implicitly Discovered OLAP Schema-Specific Preferences in Reporting Tool

We propose content-based methods for construction of recommendations for reports in the OLAP reporting tool. Recommendations are generated based on preference information in user profile, which is updated implicitly by collecting and analyzing user activity in the reporting tool. Taking advantage of data about user preferences for data warehouse schema elements, existing reports that potentially may be interesting to the user are distinguished and recommended. The approach used for recommending reports is composed of two methods - cold-start and hot-start.

Open access

Aleksandr Sukhorukov

Self-Directed Performance Testing

Performance testing of multi-user software systems is typically performed by emulating activities of multiple users working with the system simultaneously. These virtual users collect performance measures like response time and correctness while loading the system during the test. During a typical load scenario number of simultaneous virtual users gradually increases from one to some intended maximum, allowing to find out statistical relation between number of simultaneous users and performance measures.

However having fixed load scenario has several drawbacks. Usually the test has to be repeated iteratively with adjusted load scenarios, taking into account results acquired from previous test iterations. As load scenarios have to be adjusted manually and repetitions of the test may take considerable time, this approach seems to be ineffective.

This paper presents an alternative approach, where load scenario is adjusted automatically during the test, taking into account performance measures already gathered in the same test. Drawbacks of fixed load scenarios are analysed and methods of eliminating them by automatic adjustment are described. A case study showing implementation of the method and results obtained by applying it to performance testing of a real system is provided.

Open access

Madara Gasparovica, Natalia Novoselova and Ludmila Aleksejeva

Using Fuzzy Logic to Solve Bioinformatics Tasks

The goal of this research is to investigate, collect and identify published methods that use fuzzy techniques in bioinformatics tasks. Special attention is paid to studying how the advantages of fuzzy techniques are used in various stages like preprocessing, optimization and building a classifier of classification task as difficult as processing microarray data. This article also inspects the most popular databases used in bioinformatics. The most perspective methods are given more detailed descriptions. Conclusions are made about working abilities of the algorithms and their use in further research.

Open access

Antanas Mitasiunas, Jeremy Besson, Michael Boronowsky and Tanja Woronowicz

for Collecting and Interpreting Innovation data. A Joint publication of OECD and Eurostat, 3rd ed., 2005. [16] Bluemel, E., Strassburger, S., Novitsky, L., (Eds). “IT&T Solutions in Logistics and Maritime Applications,” Scientific Proc. of the project eLOGMAR-M , funded by the EC under 6 th FP. Jumi Ltd., Riga. [17] Schenk, M., Blümel, E., Schumann, M., “VIVERA - virtual network of competence for virtual and augmented reality,” in MicroCAD 2006; Mszekció: Gépgyártástechnológia és gyártórendszerek. Miskolc : Univ., S. 123–126. Kongress: MicroCAD

Open access

Antanas Mitasiunas, Tatiana Rikure, Leonids Novickis and Aleksejs Jurenoks

. J. Tidd, J. Bessant and K. Pavitt, Managing Innovation: Integrating Technological, Market and Organizational Change. West Sussex, England: John Wiley & Sons Ltd, 1998. OECD, Oslo Manual: The Measurement of Scientific and Technological Activities - Guidelines for Collecting and Interpreting Technological Innovation Data , 3 rd Edition. Paris: OECD, 2005. M. Docherty, Primer on open innovation: Principles and practice , PDMA Visions, Nr. 2, 2006, pp. 13-17. N. Du Preez, L. Louw, "A