Cloud-Based Attendance Software

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Introduction

Quality in institutions of higher learning is dependent on students in academic institutions attending lectures, and that attendance is often mandatory. The old and customary way of collecting attendance at postsecondary institutions is often paper-based and manual. The lecturer is expected to pass around a sheet of paper on which students write their names and registration numbers or sign against their previously written names. This method presents several issues and obstacles as a laborious and time-consuming procedure. This research paper focuses on the development tools, deployment environment, and user interface design for cloud-based attendance software development. This system should allow students to sign the attendance register and provide staff access to the data. Numerous attempts have been undertaken throughout the years to automate the tracking and administration of student attendance in postsecondary institutions. This paper will give the technical insights essential for implementing a viable online attendance platform.

Recommended Programming Languages

The cloud-based attendance software would be implemented using web-based development techniques. Web services represent the current approach to application development, particularly when remote access to dispersed functions is required. The web service utilizes a technique that enables platform- and programming language-independent communication between apps. Frequently, a Web Service is used as the software interface that specifies a set of functions that can be accessed via the network using XML messages (Pritchard et al., 2019). XML is used by Web services to define both data and actions on data. A combination of services that interact defines a new web service.

Python modules and coding techniques would be used to scrip the functions and objects. Trends indicate that the flexibility to deploy applications on nearly any platform, including the cloud, is one of the most significant benefits of using the Python programming language to create applications (Babuji et al., 2019). It indicates that Python can be performed on cloud servers and portable devices such as desktops, tablets, and smartphones. In implementing both the front end and the backend part of the software in web development, three fundamental languages are employed, including Hypert Text Markup Link (HTML), Cascaded Style Sheet (CSS), and JavaScript.

Database Selection

In the context of data storage and retrieval, a cloud-based database is designed to operate in a public or hybrid cloud environment. Software developers use different alternatives, including Cloud databases provided as a managed database-as-a-service (DBaaS) or placed on a cloud-based virtual machine and maintained by the internal staff (Babuji et al., 2019). SQL databases are used in the project as one sort of database that runs effectively in the cloud, either as a virtual machine or as a service depending on the provider. While SQL databases are readily expandable vertically, horizontal scalability is a barrier cloud database systems based on SQL have begun to solve (Savchuk et al., 2020). Using the new hybrid cloud idea, cloud databases may gather, deliver, duplicate, and push all data to the edge, according to the project implementation design. Users no longer need to install dependent middleware to send database queries from anywhere globally. They may immediately link apps to their database.

Cloud-Based Services

The project deployment utilizes Pi cloud technology support modules to facilitate the administration of code testing and process monitoring. The project design acknowledges that combining Python as a programming language with AWS’s processing capacity results in the Pi cloud (Talha et al., 2020). It may be used for simulation without an account being formed. Amazon Web Services (AWS) allows the team to choose the required operating system, programming language, web application platform, database, and other services. With AWS, the project will obtain a virtual environment that allows software engineers to load the required software and services.

With Pi cloud, AWS offers cloud logging functionality that enables cloud monitoring, tracing, and error reporting and aids in troubleshooting performance setbacks. Developing on such platforms is advantageous since they provide the libraries, sample codes, and tools necessary to create safe and dependable applications. AWS often emerges as one of the top providers of cloud computing and infrastructure installations in large-scale project implementations. AWS provides storage, analytics, and machine learning services for blockchain and the Internet of Things (IoT), which are required for attendance software systems (Bouslama et al., 2019). Concerns exist, however, that developers and administrators attempting to assess AWS as part of their day-to-day computing operations may feel overwhelmed by the abundance of accessible resources. In addition, it is well recognized that operating AWS services are challenging, mainly when security is considered. Despite its restrictions, AWS and the Pi cloud provide the best development support for Python-based web apps with SQL databases.

Steps to Develop the Software

Software development begins with a thorough understanding of the ideal user experience while engaging with the attendance platform. In the suggested attendance system, the system should facilitate the reporting of employees or students who are present on a given day. The user must sign in and scan their identification card to record attendance. As soon as the card is scanned, the database is updated with the id number, date, and in-time and out-time information. The database will be kept on the AWS cloud, creating a dedicated internet connection between the application and the cloud server. The administrator may determine the workers’ working hours with the in-time and out-time data saved in the cloud. After logging into the system, workers may check their personal information, attendance, in-time or out-time, and total working hours. This information is obtained from the cloud database and is always accessible to the employee and administrator.

The system administrator may add new employees by registering them and entering their registration information. The administrator is permitted to access the personnel files of all workers. This system enables the maintenance of up-to-date employment records. As the project’s files and database files will be kept on AWS, they will be accessible over the Web. The user experience design adheres to the five generally used online usability standards (Bouslama et al., 2019). The usability of the Web may be split down into five fundamental principles: accessibility, clarity, recognition, credibility, and relevance. A Semantic-Interoperability Solution for Multi-cloud Platform Management and Portability is used for the majority of the agile execution of the cloud project strategy (Cloud4SOA).

Regarding software implementation, the Cloud4SOA project focuses on semantic interoperability challenges in modern cloud infrastructures. It presents a new user-centric method for developing and deploying Cloud-based applications (Savchuk et al., 2020). The suggested technologies incorporate three fundamental computing paradigms: Cloud, Service-Oriented Architecture, and lightweight semantics. The solution produced by Cloud4SOA is a scalable method for connecting heterogeneous services from multiple cloud providers that share a particular technology. The design comprises collaborating models and software components that give developers essential features such as application matching, administration, monitoring, and migration.

Most project execution is based on the agile development software development approach, which anticipates the requirement for flexibility and adds a degree of realism to the final product delivery. Agile software development necessitates a culture change in many organizations since it emphasizes the clean delivery of individual software components rather than the complete solution (de Vicente Mohino et al., 2019). Agile’s merits in software development include its capacity to aid teams in a developing environment while retaining a focus on effectively delivering business value. The approach is employed such that as teams work together and understand their responsibilities within the process, the culture of collaboration fostered by Agile increases the organization’s overall efficiency. Lastly, firms using Agile software development can confidently release high-quality products since testing is undertaken throughout development. This allows the chance to make necessary adjustments and notify teams of possible problems.

Tools and Devices Needed to Develop Cloud-Based Software

The construction of the cloud-based attendance system necessitates using software applications such as Windows 7 or later and SQL Server 2008. The software developer must have access to hardware components, including a Core i3 processor, 160GB hard drive, 2GB of memory, and an Internet connection. To create a thriving cloud programming environment, the benefits and functionality of conventional desktop-based IDEs must be preserved and complemented with new features and capabilities. Web browsers contain robust code editors with a vast array of functions. Compilation and testing are executed on cloud infrastructures, and cloud providers may assist in deployment in certain circumstances.

Use of Cloud-Based Integrated Development Environment

Access to a vast array of programming tools maintained by the service provider, relieving the developer of the need to set up, configure, and update their programming environments, is a clear benefit of cloud-based integrated development environments. The IDE enables the developer to write software without using powerful local computers since the often compute-intensive compilation and testing processes are conducted remotely in the cloud. The simple method for reusing code produced by other software developers in the same cloud environment. However, a cloud application development environment must include much more than a robust toolchain for implementing, debugging, and testing code.

Logic is required for the execution of admin login, student/employee login, and signup. The project scripts the essential logic to optimize functionality and user experience using Python. A script is a Python file designed for immediate execution. This implies that scripts often include code outside the scope of classes and functions. A module is a Python file designed to be imported by scripts or other modules. Python is chosen as the preferred scripting language due to its high degree of abstraction. Python depends on structures that are translated into a low-level language, the original code that runs on the central processor unit of a machine (CPU). A programmer is expected to utilize a high-level language, and the produced code is then interpreted into a low-level language.

User Interphase Implementation

AngularJS is utilized for the front-end implementation of the software solution, notably for optimizing the user interface. AngularJS is often used in website development as a JavaScript-based, free, open-source web framework for creating user-oriented single-page applications (Větrovský et al., 2018). Stable support is provided mainly by Google and a network of people and businesses. AngularJs, a JavaScript open-source front-end framework mainly used to construct single-page web apps, enhances the user experience. The selection of the software development tool is influenced by the fact that AngularJS is an ever-expanding framework that offers improved methods for constructing web apps.

The implementation procedures employ combinatorial optimization, which provides a rigorous yet effective method for solving user interface design difficulties. User interphase and user experience design is the algorithmic integration of design choices to achieve an optimum solution determined by an objective function (Větrovský et al., 2018). There are solid justifications for this strategy. The initial, fundamental notions of the design task, design goal, and optimum design are applied in the solution implementation since they are clear and executable. The design strategy acknowledges that the graphic user interface (GUI) enables users to run the program efficiently. The design should be straightforward to utilize all the capabilities. Additionally, the GUI should be aesthetically pleasing. In this regard, it may be likened to product packaging tailored to the consumer’s desires.

Tests in Software Development

In security testing, service virtualization is used to mimic absent or incomplete services and systems, allowing teams to decrease dependencies and test sooner. The insights are essential for reusing, deploying, and modifying a configuration to test various scenarios without modifying the original environment. Monitoring faults is essential for both testing and development teams to measure and improve quality, enhancing the security of the systems. Automated systems enable teams to monitor faults, assess their breadth and effect, and identify associated problems. Using metrics and reporting analytics allows team members to exchange status, objectives, and test results. Innovative technologies combine project data and display the findings on a dashboard. Teams can swiftly assess the project’s overall health and monitor the linkages between testing, development, and other parts.

Security Testing

In security testing, service virtualization is done to simulate the services and systems that are missing or not yet completed, enabling teams to reduce dependencies and test sooner. The insights are necessary to reuse, deploy and change a configuration to test different scenarios without modifying the original environment. Monitoring defects further enhancing the security of the systems is essential to testing and development teams for measuring and improving quality. Automated tools allow teams to track defects, measure their scope and impact, and uncover related issues. Finally, metrics and reporting analytics enable team members to share status, goals, and test results. Advanced tools integrate project metrics and present results in a dashboard. The project prioritizes effective testing as teams quickly see the overall health of a project and can monitor relationships between test, development, and other project elements.

Conclusion

This research paper presents an overview of cloud attendance platforms’ current software development tools. The examined systems include integrated programming environments, code repositories, software modeling, composition, documentation tools, application management, and orchestration. AWS and Pi cloud offer the most crucial technological assistance for the solution’s implementation. It is essential to analyze the current cloud development ecosystem based on various factors, such as applicability and the supported programming and database technologies. The software developer must assess the tools and devices based on enhancements to productivity, such as editing capabilities, debugging tools, and collaborative assistance, such as repository capability. The software development tools, devices, and dependencies demonstrate that software engineering in the cloud age has taken its first tentative steps toward providing actual implementation and execution environments for cloud applications. However, several significant obstacles must be overcome for this strategy to be feasible.

References

Babuji, Y., Woodard, A., Li, Z., Katz, D. S., Clifford, B., Kumar, R.,… & Chard, K. (2019). Pervasive parallel programming in python. In Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 1(1), 25–36. Web.

Bouslama, A., Laaziz, Y., Tali, A., & Eddabbah, M. (2019). AWS and IoT for real-time remote medical monitoring. International Journal of Intelligent Enterprise, 6(4), 369–381. Web.

de Vicente Mohino, J., Bermejo Higuera, J., Bermejo Higuera, J. R., & Sicilia Montalvo, J. A. (2019). . Electronics, 8(11), 1218. Web.

Pritchard, B. P., Altarawy, D., Didier, B., Gibson, T. D., & Windus, T. L. (2019). . Journal of Chemical Information and Modeling, 59(11), 4814–4820. Web.

Savchuk, T. O., Pryimak, N. V., Slyusarenko, N. V., Smolarz, A., Smailova, S., & Amirgaliyev, Y. (2020). Improved method of searching the associative rules while developing the software. International Journal of Electronics and Telecommunications, 66(3), 425–430. Web.

Talha, M., Sohail, M., & Hajji, H. (2020). . International Journal of Research in Engineering Innovation, 4(3), 131–136. Web.

Větrovský, T., Baldrian, P., & Morais, D. (2018). SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses. Bioinformatics, 34(13), 2292–2294. Web.

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