Essay on Technology Revolution: Enhancing Efficiency in Workplace

Introduction

The world has undergone several changes, and one of them is the rise in technology. The rise in technology has been significant to the human race in the sense that it has helped people in various ways. One of the impacts of technology is that it has led to efficiency in who various activities are being done (Bhadouria, Rucker & Carver, 2017). For example, technology has led to the rise of software as well as systems that are needed to accomplish various tasks. The need for this system has resulted in the rise in software engineering (Al-Khiat & Ahmed, 2016). The development of these systems involves various concepts. One of these concepts is the development of class diagrams (Zhang, Grignard, K Lyons & Aubuchon, 2018). Class diagrams in Unified Modelling Language (UML) refers to the static structure diagram that is used to describe the structure of a system by showing their operations, attributes, as well as the relationship between diagrams.

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Class Diagram

The class diagram below is an example of an automated teller machine (ATM) that is made up of various attributes, operations, and the relationship between the diagram to ensure that there are effective interactions between all the components (Augustijn & Kounadi, 2019). Moreover, the ATM system consists of a set of criteria that have to be met to ensure that the requested commands can be accomplished effectively.

In the above class diagram, it is seen that there are several relationships between the components. These attributes have been labeled with different names for proper understanding. Some of these attributes include bank account, customer account, customer details, current account, customer account, and ATM transaction (Gonzalez-Usach, Palau & Julian, 2018). According to the class diagram, for them when the first step is to vary the password. After that, for the ATM to process a cash transaction for a bank customer, it has to access the bank code to identify the code as well as address.

Consequently, the ATMs access the bank account that matches with the details of the customers (Sadowska & Huzar 2017). The system then checks for the bank balance of the customer and determines whether the amount that has been requested can be withdrawn. However, before the money is withdrawn, the ATM systems check whether the account being used is a current or saving account (Song, Poonawala & Wynter, 2018). After all these relationships have been established and meet all the required criteria, the amount of money that the client has requested will then be withdrawn.

Conclusion

In a nutshell, it is just to say that technology has emerged as one of the major advancements that have been important to the human race. Technology has helped human beings to be able to carry out various activities effectively through its numerous features. One of the notable features of technology is that it has enabled the creation of software and systems that humans can be used to carry their daily activities normally. The development of these systems is not an easy task as it involves various activities such as the creation of class diagrams. The class diagrams are structures of how the system will operate once it has been completed. An example of such a system that has been presented in this paper is the ATM system, which coordinates all the activities that are needed to ensure the effective withdrawal of money from bank accounts. The system is made of various attributes and operations that should be related to ensure that the main goal is attained.

References

Al-Khiaty, M. A. R., & Ahmed, M. (2016). UML class diagrams: Similarity aspects andmatching. Lecture Notes on Software Engineering, 4(1), 41.https://pdfs.semanticscholar.org/2dab/0c3bf961430fab1a8a5c1939926efd834c9b.pdf

Augustijn, E. W., Kounadi, R., Kuznecova, T., & Zurita-Milla, R. (2019, September). TeachingAgent-Based Modelling and Machine Learning in an integrated way. In 15thGeocomputation 2019: Adventures in GeoComputation.https://auckland.figshare.com/articles/Teaching_AgentBased_Modelling_and_Machine_Learning_in_an_integrated_way/9848804/files/17662211.pdf

Bhadouria, S. M., Rucker, A. T., & Carver, J. W. (2017). U.S. Patent Application No.15/099,137. https://patents.google.com/patent/US20170300862A1/en

Gonzalez-Usach, R., Palau, C. E., Julian, M., Belsa, A., Llorente, M. A., Montesinos, M., &Sala, P. (2018). Use cases, applications and implementation aspects for IoTinteroperability. Distributed Intelligence at the Edge and Human Machine-To-Machine Cooperation, River Publishers, 139-173.http://www.ibspan.waw.pl/~paprzyck/mp/cvr/research/IoT_papers/Use%20Cases%20Applications%20and%20Implementation%20Aspects%20for%20IoT%20Interoperability.Pdf

Sadowska, M., & Huzar, Z. (2017). Semantic validation of UML class diagrams with the use ofdomain ontologies expressed in OWL 2. In Software Engineering: Challenges andSolutions (pp. 47-59). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-43606-7_4

Song, B., Poonawala, H., Wynter, L., & Blandin, S. (2018, November). Robust commutermovement inference from connected mobile devices. In 2018 IEEE InternationalConference on Data Mining Workshops (ICDMW) (pp. 640-647). IEEE.https://ieeexplore.ieee.org/abstract/document/8637519/

Zhang, Y., Grignard, A., Lyons, K., Aubuchon, A., & Larson, K. (2018, July). Real-timemachine learning prediction of an agent-based model for urban decision-making.In Proceedings of the 17th International Conference on Autonomous Agents andMultiagent systems (pp. 2171-2173). International Foundation for Autonomous Agentsand Multiagent Systems. https://dl.acm.org/citation.cfm?id=3238109