Uml Diagrams
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Computing ◽  
2021 ◽  
Carlos Sáenz-Adán ◽  
Francisco J. García-Izquierdo ◽  
Beatriz Pérez ◽  
Trung Dong Huynh ◽  
Luc Moreau

AbstractData provenance is a form of knowledge graph providing an account of what a system performs, describing the data involved, and the processes carried out over them. It is crucial to ascertaining the origin of data, validating their quality, auditing applications behaviours, and, ultimately, making them accountable. However, instrumenting applications, especially legacy ones, to track the provenance of their operations remains a significant technical hurdle, hindering the adoption of provenance technology. UML2PROV is a software-engineering methodology that facilitates the instrumentation of provenance recording in applications designed with UML diagrams. It automates the generation of (1) templates for the provenance to be recorded and (2) the code to capture values required to instantiate those templates from an application at run time, both from the application’s UML diagrams. By so doing, UML2PROV frees application developers from manual instrumentation of provenance capturing while ensuring the quality of recorded provenance. In this paper, we present in detail UML2PROV’s approach to generating application code for capturing provenance values via the means of Bindings Generation Module (BGM). In particular, we propose a set of requirements for BGM implementations and describe an event-based design of BGM that relies on the Aspect-Oriented Programming (AOP) paradigm to automatically weave the generated code into an application. Finally, we present three different BGM implementations following the above design and analyze their pros and cons in terms of computing/storage overheads and implications to provenance consumers.

Madhumita Manish Kumar ◽  
Geetanjali Yatnalkar ◽  

Smart Parking System is based on Internet of Things technology and Android Application which enables the customer to view the available parking spaces and also book the parking space.Therefore, the project aimed at designing a system that will enable the customers to book the parking slot at their convenience.The data for functional, non-functional and system requirements were collected. This data was used to prepare the UML diagrams such as the Entity Relationship Diagram. This system was implemented using different IOT tools like IR sensors and also includes mobile application development for creating interfaces for booking parking slots.

2021 ◽  
Vol 26 (4) ◽  
pp. 365-373
Alyaa Hisham ◽  
Aya Ahmed ◽  
Mariam Khaled ◽  
Nour Abdullatif ◽  
Sally Kassem

Crime records management is a system that helps police keep records of citizens’ complaints files, investigation evidence and processes. In addition, it helps police keep records of the criminals who have been arrested or who are to be arrested. This paper aims to model the Crime Record Management System (CRMS) using various Unified Modeling Language (UML) diagrams, to demonstrate an explicit visualization of the system. Also, showing the communication among different actors, and the sequence of activities and interactions. The perspective of modeling the CRMS is by covering four stages, which are Counter (Station Diary Constable), Crime Investigation, Prosecution, and Adjudication. It is concluded that applying UML diagrams facilitates understanding and perceiving the processes of recording crime files, as it illustrates detailed activities and interactions.

2021 ◽  
Vol 7 (2) ◽  
pp. 190-200
Desy Apriani ◽  
Po. Abas Sunarya ◽  
Tinton Yuan Permono

PT.TNT Skypak Internasional is a foreign company doing business in Indonesia and is located in the Soekarno-Hatta airport area. PT.TNT Skypak Internasional focuses on export and import freight forwarding. Currently there are problems in the employee attendance process / Employee Attendance, because it is still being run manually, so the Employee Attendance data retrieval is time consuming and time inefficient. For this reason, a website-based Employee Attendance information system is needed as a solution to the problems that occur at PT.TNT Skypak Internasional. The research method used is Data Collecting Methods such as Observation, Interview and Library Research, then the design analysis method uses UML diagrams and database design with PHP and MySQL. The research results of this journal paper are Website-based Employee Attendance Information System Design to be applied to PT.TNT Skypak Internasional.

TEM Journal ◽  
2021 ◽  
pp. 1166-1174
Akshara Pande ◽  
Vivekanand Pant ◽  
Manjari Gupta ◽  
Alok Mishra

The role of design pattern mining is a very significant strategy of re-engineering as with the help of detection one could easily understand complex systems. Of course, identifying a design pattern is not always a simple task. Additionally, pattern recovering methods often encounter problems dealing with space outburst for extensive systems. This paper introduces a new way to discover a design pattern based on an Impact Analysis matrix followed by substring match. UML diagrams corresponding to codes are created using Visual Paradigm Enterprise. Impact Analysis matrices of these UML diagrams are converted to string format. Considering system code string as main string and design pattern string as a substring, the main string is further decomposed. A substring match technique is developed here to discover design patterns in the source code. Overall, this procedure has the potential to convert the representation of system design and design pattern in ingenious shapes. In addition, this method has the advantage of moderation in the size. Therefore, this approach is beneficial for Software professionals and researchers due to its simplicity.

2021 ◽  
Vol 5 (1) ◽  
pp. 128-136
Dani Anggoro ◽  
Dolly Virgian Shaka Yudha Sakti ◽  
Sejati Waluyo ◽  

Graduation is an inauguration event for students who have completed their studies at university. This event was attended by many people in the room. The Covid-19 pandemic requires us to adapt to being new normal, as well as graduation events. Events cannot be held as usual because everyone must follow health protocols, such as maintaining distance between people and not gathering indoors. Online graduation can be a solution, but in-person graduation is more expected by students and parents. The purpose of this study is to implement a QR Code-based information system to prevent indoor crowds and manage graduation queues. The method used in building the system is a prototype model with stages, namely analyzing data, designing the system using UML diagrams, coding using the PHP Native programming language and testing using Black Box Testing. The result of this research is a web-based application that can read QR Code from students. The test results show that the application created can be a solution in holding graduation directly during the adaptation period of new habits during the Covid-19 pandemic.

2021 ◽  
Vol 8 (1) ◽  
pp. 10
Evi Triandini ◽  
Reza Fauzan ◽  
Daniel O. Siahaan ◽  
Siti Rochimah ◽  
I Gede Suardika ◽  

Every piece of software uses a model to derive its operational, auxiliary, and functional procedures. Unified Modeling Language (UML) is a standard displaying language for determining, recording, and building a software product. Several algorithms have been used by researchers to measure similarities between UML artifacts. However, there no literature studies have considered measurements of UML diagram similarities. This paper presents the results of a systematic literature review concerning similarity measurements between the UML diagrams of different software products. The study reviews and identifies similarity measurements of UML artifacts, with class diagram, sequence diagram, statechart diagram, and use case diagram being UML diagrams that are widely used as research objects for measuring similarity. Measuring similarity enables resolution of the problem domains of software reuse, similarity measurement, and clone detection. The instruments used to measure similarity are semantic and structural similarity. The findings indicate opportunities for future research regarding calculating other UML diagrams, compiling calculation information for each diagram, adapting semantic and structural similarity calculation methods, determining the best weight for each item in the diagram, testing novel proposed methods, and building or finding good datasets for use as testing material.

2021 ◽  
Vol 11 (9) ◽  
pp. 4267
Bethany Gosala ◽  
Sripriya Roy Chowdhuri ◽  
Jyoti Singh ◽  
Manjari Gupta ◽  
Alok Mishra

Unified Modeling Language (UML) includes various types of diagrams that help to study, analyze, document, design, or develop any software efficiently. Therefore, UML diagrams are of great advantage for researchers, software developers, and academicians. Class diagrams are the most widely used UML diagrams for this purpose. Despite its recognition as a standard modeling language for Object-Oriented software, it is difficult to learn. Although there exist repositories that aids the users with the collection of UML diagrams, there is still much more to explore and develop in this domain. The objective of our research was to develop a tool that can automatically classify the images as UML class diagrams and non-UML class diagrams. Earlier research used Machine Learning techniques for classifying class diagrams. Thus, they are required to identify image features and investigate the impact of these features on the UML class diagrams classification problem. We developed a new approach for automatically classifying class diagrams using the approach of Convolutional Neural Network under the domain of Deep Learning. We have applied the code on Convolutional Neural Networks with and without the Regularization technique. Our tool receives JPEG/PNG/GIF/TIFF images as input and predicts whether it is a UML class diagram image or not. There is no need to tag images of class diagrams as UML class diagrams in our dataset.

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