Comparative Literature Study of CodeIgniter and Laravel Framework Performance in Website Creation

A framework defined as a structure thatsupports the development of dynamic websites, web applications, and services. Framework code and design are often reusable to assist customization, resource service, and API-related tasks. This study discussed current practice to help a developer understand PHP frameworks adoption for web application development. Three approaches were selected to understand the features suitability of the PHP frameworks: the systematic approach, score criteria evaluation, and PHP framework technical factors. A comparison of 23 different frameworks features also has been studied that involves features such as ORM, Code Generator, Template Engine, and CRUD Generator. Besides PHP framework features, understanding the basic core PHP to build web application would help a lot in learning PHP frameworks. Moreover, new developers should not limit themselves to a particular PHP framework only but also allow themselves to explore various PHP frameworks in the development of web application projects.

Problem. Under ever-increasing competition in the field of project services, each project organization looks for the ways for improving production efficiency and quality of the products, as well as reducing project time. The solution of these problems is closely connected with the application and development of information technologies used in the project organization. Today, the complexity of the programs has increased so much that it makes no sense to write code for everything from scratch. PHP-frameworks accelerate the development process; help to write structured, reusable code; make it easy to scale projects. A choice of an effective PHP-framework is an important task. Goal. The goal is to increase the efficiency and reliability of project organization management by developing a project organization information system using an effective PHP-framework. Methodology . The methods and principles of fuzzy mathematics are used. Decision-making methods in the conditions of fuzzy input data were used to develop a model for choosing a PHP-framework for informatization of the project organization. Results. The paper analyzes the problem of choosing PHP-frameworks for web application development. For the first time, a model for choosing PHP-frameworks has been developed, which, unlike existing ones, allows taking into account fuzzy information and making the choice more objective. An example of the choice of PHP frameworks is given, which proved the efficiency and feasibility of using the developed model. Further research will be focused on the practical implementation of the model in the form of a program-methodological complex. Originality . The developed model allows choosing a PHP-framework in the conditions of fuzzy information about the preferences of the web application developer. Practical value. The use of the proposed model for choosing a PHP-framework in order to develop a web application for informatization of a project organization will increase its reliability and reduce the time of a web application development.

En este trabajo se analizan los framework PHP de código abierto basados en el patrón de diseño Modelo-Vista-Controlador (MVC) a través de cuadros comparativos, que permiten a los desarrolladores crear sus aplicaciones web sin necesidad de codificar desde cero, ya que cuentan con herramientas integradas y bibliotecas que facilitan las operaciones CRUD (creación, lectura, actualización y eliminación), organización del código, facilidad de mantenimiento, seguridad ante ataques de inyección SQL y otras amenazas. Se describen las características, especificaciones técnicas, componentes de los frameworks considerados los más comunes como son: Laravel, Symfony, CodeIgniter, Zend, CakePHP, Yii, que ayudan a reducir el tiempo en el proceso de desarrollo empleando buenas prácticas de programación. Para el estudio se aplicó el método analítico-sintético para identificar los frameworks que permitan diseñar e implementar web dinámicas, robustas y seguras facilitando la corrección de errores. Los resultados brindan un insumo a los programadores e ingenieros de software que están incursionando en los frameworks PHP donde puedan analizar las bondades que tiene cada uno, elegir el más completo según su funcionalidad, ventajas y desventajas al momento de desarrollar sus proyectos web.

The Model–View–Controller (MVC) design pattern is widely used in web development and ERP to separate data layer, presentation layer, and user interaction concerns. In recent years there have been many PHP frameworks available for web developers to choose from right one. Developers face difficulty in choosing the relevant frameworks and appropriate support functions with libraries to include in their projects. For this reason, a clear understanding of the various frameworks is now becoming an important requirement for web developers. In this paper, we studied several research papers talking about different PHP frameworks, and we compared them with each other for result. In PHP, there are several MVC frameworks available that provide a structured approach to developing web applications. The purpose of this research paper is to explore and review some of the popular MVC frameworks for web development in PHP.

Micro frontend architecture has emerged as a transformative approach in web application development, decomposing monolithic interfaces into independently deployable units while introducing unique performance challenges. This article examines critical optimization strategies essential for distributed frontend systems, focusing on bundle size management, advanced loading techniques, content delivery architectures, and cross-origin communication. The architectural characteristics of micro frontends necessitate specialized optimization approaches that differ significantly from traditional monolithic patterns. By balancing team autonomy with global performance objectives, organizations can implement targeted strategies addressing bundle duplication, resource loading, geographic distribution, and security considerations. The effectiveness of these techniques depends on coordinated implementation across organizational boundaries while preserving the autonomy that makes micro frontend architectures valuable for complex applications with diverse stakeholder needs.

The advancements in the world of mobile technology have enabled computational intensive applications on the latest smart phones. Still Smart Mobile Devices (SMD's) have low potential and are unable to run complex applications due to their limited battery life, storage capacity, processor speed and energy. These limitations of smart phones can be addressed through Mobile Cloud Computing (MCC) which allows the computational intensive applications from smart phones to get offloaded over the cloud environment. In this paper, computation offloading scheme has been proposed that distributes the workload among various Virtual Machines (VM's) on the basis of their distance from the current VM. The offloading will decrease the load on the current VM and increase the performance and speed of execution. The Buffer Allocation Method (BAM) is proposed which will further enhance the performance by eliminating the redundancy of the data to be transmitted during offloading. The results indicate that the speed of execution increases, energy consumption decreases and the load gets balanced due to offloading.

Due to problems in correctly understanding user requirements the Information System (IS) development community have recognised the need to involve end-users in the development and maintenance of web applications. End-users perceive web applications through user interfaces (UIs) and commonly use sketches of UIs to express their requirements. Thus, it would be desirable to provide an end-user development methodology centred on UI modelling techniques. In this paper a visual modelling approach is presented to empower end-users in developing data intensive web applications starting from user interface descriptions. The modelling language follows a holistic approach by representing both static and behavioural information of a web application in one visual model. The visual model allows the specification of the look-and-feel of the application through mock-ups, and the user interactions through links, annotations, and widget references. End-users are guided during the modelling process by providing a summary view to manage the design of complex applications and a data model view to improve the quality of the generated applications.

CAgen is a state-of-the-art combinatorial test generation tool that is known for its execution speed. In addition, it supports an extensive list of features such as constraint handling, higher-index arrays, and import and export of models/test sets in various different formats. It is based on the FIPO algorithm, which can be considered an improved version of the widely used In-Parameter-Order strategy. In order to further speed up CAgen, this work first discusses how multithreading can be effectively used to optimally utilize available resources, particularly for large instances. We evaluate three different multithreaded variations of the horizontal extension and use the obtained insights to design the mFIPOG algorithm. In addition, we adopt methods that have previously been utilized to speed up constraint handling of CSP solvers in IPO algorithms into a forbidden tuple approach. In order to evaluate the performance of the improved tool, we provide results of benchmarks on the instances offered by the CT competition of IWCT 2022.

Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine learning algorithms. Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and their kernel variants (KPCA, KLDA) are among the most popular DR methods. Recently, Supervised Kernel Principal Component Analysis (SKPCA) has been shown as another successful alternative. In this paper, brief reviews of these popular techniques are presented first. We then conduct a comparative performance study based on three simulated datasets, after which the performance of the techniques are evaluated through application to a pattern recognition problem in face image analysis. The gender classification problem is considered on MORPH-II and FG-NET, two popular longitudinal face aging databases. Several feature extraction methods are used, including biologically-inspired features (BIF), local binary patterns (LBP), histogram of oriented gradients (HOG), and the Active Appearance Model (AAM). After applications of DR methods, a linear support vector machine (SVM) is deployed with gender classification accuracy rates exceeding 95% on MORPH-II, competitive with benchmark results. A parallel computational approach is also proposed, attaining faster processing speeds and similar recognition rates on MORPH-II. Our computational approach can be applied to practical gender classification systems and generalized to other face analysis tasks, such as race classification and age prediction.

Ruby - an Object-Oriented scripting language - is used world-wide because of its ease of use. However, the current interpreter is slow. To solve this problem, some virtual machines were developed, but none with adequate performance or functionality. To fill this gap, I have developed a Ruby interpreter called YARV (Yet Another Ruby VM). YARV is based on a stack machine architecture and features optimizations for high speed execution of Ruby programs. In this poster, I introduce the Ruby programming language, discuss certain characteristics of Ruby from the aspect of a Ruby interpreter implementer, and explain methods of implementation and optimization. Benchmark results are given at the end.

The Graphical Processing Unit (GPU) has become a competitive general purpose computational hardware platform in the last few years. Recent improvements in GPUs highly parallel programming capabilities such as Compute Unified Device Architecture(CUDA) has lead to a variety of complex applications with tremendous performance improvements. Genetic Sequence alignment is considered to be one of the application domains which require further improvements in the execution speed, because it is a computationally intensive task with increased database size. We focus on using the massively parallel architecture of GPU as a solution for the improvement of sequence alignment task. For that purpose we have implemented a CUDA based heterogeneous solution for the global sequence alignment task with Needleman-Wunsch dynamic programming algorithm. We have compared different levels of memory access patterns to identify better parallelization strategy with different ways of kernel access and thread utilization methods.

Studies indicate that information systems and computer science programs should place more emphasis on software design topics.Because little significant software in a commercial environment is developed using only programming skills,students without exposure to design patterns and frameworks will be ill-prepared for the workforce. This paper investigates whether PHP-based web development courses should use PHP frameworks to guide program development and how to select an appropriate framework. The paper begins with a literature review of the concept of design patterns, particularly the Model-View-Controller(MVC) pattern. We review studies that argue that design patterns and frameworks are essential pedagogical tools. Finally, we report on our work to select an appropriate framework for incorporation into web development courses as well as the process by which some of the major PHP MVC frameworks were assessed to determine which is best-suited for use in an academic environment.

Elliptic Curve Cryptography (ECC) is considered a more effective public-key cryptographic algorithm in some scenarios, because it uses shorter key sizes while providing a considerable level of security. Modular multiplication constitutes the “arithmetic foundation” of modern public-key cryptography such as ECC. In this paper, we propose the Cascade Operand Scanning for Specific Modulus (SMCOS) vectorization method to speed up the prime field multiplication of ECC on Single Instruction Multiple Data (SIMD) architecture. Two key features of our design sharply reduce the number of instructions. 1) SMCOS uses operands based on non-redundant representation to perform a “trimmed” Cascade Operand Scanning (COS) multiplication, which minimizes the cost of multiplication and other instructions. 2) One round of fast vector reduction is designed to replace the conventional Montgomery reduction, which consumes less instructions for reducing intermediate results of multiplication. Further more, we offer a general method for pipelining vector instructions on ARM NEON platforms. By this means, the prime field multiplication of ECC using the SMCOS method reaches an ever-fastest execution speed on 32-bit ARM NEON platforms. Detailed benchmark results show that the proposed SMCOS method performs modular multiplication of NIST P192, Secp256k1, and Numsp256d1 within only 205, 310 and 306 clock cycles respectively, which are roughly 32% faster than the Multiplicand Reduction method, and about 47% faster than the Coarsely Integrated Cascade Operand Scanning method.