<abstract xmlns="http://www.w3.org/1999/xhtml"> The paper presents a simulation tool for automated interactions between insurance companies and their clients during the travel insurance buying process. Insurance deal evaluation model using price and insured risks has been developed based on the study of the Latvian insurance market. The proposed model is used together with well-known agent auction protocols, thus providing a multi-agent negotiation protocol. It allows automating one-to-many negotiations between client and insurance companies simulating electronic insurance policy marketplace. The simulation tool has been developed using the MASITS methodology and tool, thus providing a case study for the methodology and tool for a new type of systems</abstract>

Multi-Agent Auction Based Simulation Tool for an Insurance Policy Market

<abstract xmlns="http://www.w3.org/1999/xhtml"> The paper presents algorithms for insurance technical provisions taking into account losses, which are incurred but not reported. Evaluation of insurance technical provisions for the kinds of insurance, such as Motor Third Party Liability (MTPL) Insurance, Property Insurance and some others, have difficulties in assessing the impact of the losses from insurance claims incurred requiring a longer time for the settlement of insurance claims. These insurance requirements are mainly associated with health insurance in the MTPL Insurance, losses related to compensation for moral injuries, as well as on life care and life-long pension. To run these payments, you need to know the financial indicators for the period of settlement of loss (such as the effective interest rate, investment income, etc.) In the article the procedures for the most accurate forecast possible losses for the expected excess of loss amount for a treaty year are provided, using the loss experience of the previous years of the occurrence with their development. However, certain adjustments should be made to take account of the impact of losses from previous years for the current period. This article describes how outstanding losses have to be projected on a year of reporting, so that they are correspond to the current values</abstract>

Estimation and Calculation Procedures of the Technical Provisions for Outstanding Insurance Claims

<abstract xmlns="http://www.w3.org/1999/xhtml"> Software configuration management is one of the most important disciplines within the software development project, which helps control the software evolution process and allows including into the end project only tested and validated changes. To achieve this, software management completes certain tasks. Concrete tools are used for technical implementation of tasks, such as version control systems, servers of continuous integration, compilers, etc. A correct configuration management process usually requires several tools, which mutually exchange information by generating various kinds of transfers. When it comes to introducing the configuration management process, often there are situations when tool installation is started, yet at that given moment there is no general picture of the total process. The article offers a model-based configuration management concept, which foresees the development of an abstract model for the configuration management process that later is transformed to lower abstraction level models and tools are indicated to support the technical process. A solution of this kind allows a more rational introduction and configuration of tools</abstract>

Intellectual Model-Based Configuration Management Conception

<abstract xmlns="http://www.w3.org/1999/xhtml"> Nowadays, in the insurance industry the use of predictive modeling by means of regression and classification techniques is becoming increasingly important and popular. The success of an insurance company largely depends on the ability to perform such tasks as credibility estimation, determination of insurance premiums, estimation of probability of claim, detecting insurance fraud, managing insurance risk. This paper discusses regression and classification modeling for such types of prediction problems using the method of Adaptive Basis Function Construction</abstract>

Adaptive Regression and Classification Models with Applications in Insurance

<abstract xmlns="http://www.w3.org/1999/xhtml"> Technological tools for the mastering of insurance software product remotely by end-users are described. To ensure distance training, two independent channels have been simultaneously used: one for video-audio conference providing trainer-trainee(s) communication and second one for collaboration between a trainer and trainee(s) showing software execution and control over trainee’s working with the software. The proposed solution has been approbated in several focus groups that give an evidence of its practical viability and applicability</abstract>

Virtual Observation Environment for Training and Monitoring of Insurance Software End-Users

<abstract xmlns="http://www.w3.org/1999/xhtml"> In the context of modern information systems, security has become one of the most critical quality attributes. The purpose of this paper is to address the problem of quality of information security. An approach to solve this problem is based on the main assumption that security is a process oriented activity. According to this approach, product quality can be achieved by means of process quality - process capability. Introduced in the paper, SPICE conformant information security process capability model is based on process capability modeling elaborated by world-wide software engineering community during the last 25 years, namely ISO/IEC 15504 that defines the capability dimension and the requirements for process definition and domain independent integrated model for enterprise-wide assessment and Enterprise SPICE improvement</abstract>

Security Process Capability Model Based on ISO/IEC 15504 Conformant Enterprise SPICE

AHEAD OF PRINT

Volume 28 (2023): Issue 2 (December 2023)

Volume 28 (2023): Issue 1 (June 2023)

Volume 27 (2022): Issue 2 (December 2022)

Volume 27 (2022): Issue 1 (June 2022)

Volume 26 (2021): Issue 2 (December 2021)

Volume 26 (2021): Issue 1 (May 2021)

Volume 25 (2020): Issue 2 (December 2020)

Volume 25 (2020): Issue 1 (May 2020)

Volume 24 (2019): Issue 2 (December 2019)

Volume 24 (2019): Issue 1 (May 2019)

Volume 23 (2018): Issue 2 (December 2018)

Volume 23 (2018): Issue 1 (May 2018)

Volume 22 (2017): Issue 1 (December 2017)

Volume 21 (2017): Issue 1 (May 2017)

Volume 20 (2016): Issue 1 (December 2016)

Volume 19 (2016): Issue 1 (May 2016)

Volume 18 (2015): Issue 1 (December 2015)

Volume 17 (2015): Issue 1 (May 2015)

Volume 16 (2014): Issue 1 (December 2014)

Volume 15 (2014): Issue 1 (July 2014)

Volume 14 (2013): Issue 1 (June 2013)

Volume 13 (2012): Issue 1 (October 2012)

Applied Computer Systems

 The Journal Applied Computer Systems is an open access scientific journal published biannually in May and December. The journal serves for experience generation in computer science and information technologies use in different applications and is a source of information for the industry practitioners, for academic personnel and students.  The journal publishes research papers describing new results, original ideas and applications or reports on the development and maintenance of actual systems addressing issues concerning theory, development, management and applications of advanced applied computer science.  The topics covered by the journal are:   Artificial Intelligence  Computer Applications  Data  Information Technology and Systems  Programming Technologies  Software Engineering   Besides, the reader will find papers on conception of framework for automated creation of graph visualisation systems, theoretical basis and practical usage of simulation for creating solutions for data management systems, modelling of software systems and business processes, comparison of programming languages, intelligent tutoring systems, semantic web development, applications of cloud-based services, issues of dynamic wireless networks, as well as surveys and papers focused on different other specific topics.  The aim of the publishers is to encourage the applied research by granting free publication possibilities to professionals in the software field, young scientists and doctoral students.  The authors of articles are researchers from various educational and research institutions and companies not only from different European countries, but also from Africa, North and South America, Asia and Australia.  Rejection Rate   47%   Publication History 　  Currently known as Applied Computer Systems 2012 – current, ISSN 2255-8683 (print), ISSN 2255-8691 (online).Formerly known as Scientific Journal of Riga Technical University, Series Computer Science. Applied Computer Systems 2000–2011, ISSN 1407-7493 (print).In 2012 the journal Applied Computer Systems separated from the RTU journal series Computer Science and the present volume numbering reflects the number of journals published within the series since 2000.   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 