Resumen
The article focuses on the object-oriented and goal-oriented requirements analysis. The growing influence of object-oriented programming on programming practice has led to the rise of a new paradigm for system and software requirements analysis, popularly known as object-oriented analysis (OOA). This paradigm adopts ideas from object-oriented programming and blends them with ideas from semantic data modeling and knowledge representation into modeling framework that is more powerful than traditional techniques such as data flow diagrams, structured analysis and the like. The Object-Oriented Systems Analysis technique adopts the Entity-Relationship model to capture the declarative aspects of a software system. OOA is popular because it significantly advances the state of practice in requirements modeling. OOA techniques offer a coherent framework which integrates a comprehensive set of modeling concepts for capturing declarative, behavioral and interactive aspects of a system. In addition, OOA techniques strongly support two structuring mechanisms, generalization and aggregation, in terms of which a modeler can organize and manage the immense amount of information captured by her models.

Resumen
The article focuses on the design of financial monitoring system software. The author suggests that a society of intelligent agents can work together to monitor financial transactions and yield important information regarding potential financial calamities. It is believed that intelligent agents are well suited to dealing with the problem of monitoring vast volumes of dynamic information in a distributed fashion. In this way, they are able to detect hidden financial problems, such as financial fraud, unhedged risks, and other inconsistencies. The intelligent agents in the prototype system are assisted by a formal conceptual model that makes up an unambiguous understanding of the institution, transactions, instruments involved, and the business processes. The development of conceptual model for the agent-based financial monitoring system has drawn on results from data modeling, business modeling, and process modeling. The scheme used to model the problem domain of the financial monitoring system is based on the Unified Modeling Language, known as UML.