Name
Title | ||
|---|---|---|
On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems. |
Abstract | ||
|---|---|---|
The software ecosystem of an enterprise is usually composed of an heterogeneous set of applications,databases, documents, spreadsheets, and so on. Such resources are involved in the enterpriseâs daily activitiesby supporting its business processes. As a consequence of market change and the enterprise evolution,new business processes emerge and the current ones have to be evolved to tackle the new requirements. It isnot a surprise that different resources may be required to collaborate in a business process. However, most ofthese resources were devised without taking into account their integration with the others, i.e., they representisolated islands of data and functionality. Thus, the goal of an integration solution is to enable the collaborationof different resources without changing them or increasing their coupling. The analysis of integrationsolutions to predict their behaviour and find possible performance bottlenecks is an important activity thatcontributes to increase the quality of the delivered solutions. Software engineers usually follow an approachthat requires the construction of the integration solution, the execution of the actual integration solution, andthe collection of data from this execution in order to analyse and predict their behaviour. This is a costly, risky,and time-consuming approach. This paper discusses the usage of Markov models for formal modelling ofintegration solutions aiming at enabling the simulation of the conceptual models of integration solutions stillin the design phase. By using well-established simulation techniques and tools at an early development stage,this new approach contributes to reduce cost, risk, development time and improve software quality attributessuch as robustness, scalability, and maintenance. |
Year | Venue | Field |
|---|---|---|
2015 | ICEIS (3-1) | Data mining,Enterprise application integration,Business process,Software engineering,Computer science,Enterprise software,Knowledge management,Enterprise information integration,Enterprise integration,Software quality,Software ecosystem,System integration |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Z. Frantz | 1 | 47 | 11.00 |
| Sandro Sawicki | 2 | 14 | 4.76 |
| Fabricia Roos-Frantz | 3 | 56 | 9.12 |
| Iryna Yevseyeva | 4 | 72 | 14.98 |
| Michael T. M. Emmerich | 5 | 247 | 22.74 |