Effort assessment in the development of information systems projects

Abstract

There is a great lack of methods and techniques in the software development process itself, as well as the lack of the appropriate tools that would make it more efficient. The significance of the problem is repeatedly emphasized by the need to ensure a high quality of software and software−based systems. The main objective of this work is to develop and systematize the original formal procedure for assessing the development of information systems in the early stages of the software life cycle, through metrics of the data model. We calculate the metrics of data model by using data that can be read off from a base data model, which is represented with an Entity−Relationship (ER) diagram that is defined with four basic concepts: entities, relationships, attributes of entities or relationships and values. The idea is to present the complexity of the process with a function of a number of these concepts and a number of attributes for entity types. Assessment techniques represent the basis for planning and successful performance of software projects. Statistical method was used in this paper and these assessment processes go under the category of empirical parametric methods, although they have some characteristics of the expert estimation method. A developed assessment process represents a step in the efforts to reach suitable measures which we would use to assess the size and complexity of the data model and also to estimate the amount of costs and resources necessary for the development of information systems. Likewise, certain metrics are developed. By being familiar with the data model, we can use these metrics to quantify characteristics of an information system as a whole in the logic design phase. Suggested metrics were tested on specific models and the results are shown here.

Risk management of derivative financial instruments

“…Insurance activity has its own risks and illegal behavior [4]. These risks are compounded by a great lack of methods and techniques in the software development process itself, as well as the lack of the appropriate tools that would make it more efficient [5]. The market of securitization and derivative financial instruments, which are also not inherently risk-neutral, is no exception.…”