Object-oriented Programming Paradigm Research Articles

Unified type system for the modern general-purpose programing language

The paper presents an overview of the type system, which supports the convergence of procedural, object-oriented, functional, and concurrent programming paradigms relying on static type checking with smart type inference support and the ability to ensure dynamic type safety as well. The key element of the type system is that it is fully based on just 2 basis constants and all other constructions are derived.

Реализация распределённых и параллельных вычислений в сети SDN

The paper discusses the execution of a program of tasks on the SDN data plane, modeled by a finite connected undirected graph of physical connections; the execution is understood in the sense of the object-oriented programming paradigm as consisting of objects and messages that objects can exchange. Objects are implemented in hosts. Several different objects can be implemented in one host and the same object can be implemented in several hosts. Messages between objects implemented in different hosts are transmitted in packets which are routed by switches based on identifiers assigned to packets that is on a set of values of some packet parameters in the packet header. Two problems are tackled in the work: 1) minimizing the number of identifiers, 2) setting up switches to implement the paths that packets should take place. These tasks are solved in two cases: A) a packet intended for some object must get into exactly one host in which this object is implemented, B) a packet can get into several hosts, but the desired object must be implemented in one and only one of them. It is shown that problem 1 in case A is equivalent to the set covering problem, and the minimum number of identifiers in the worst case is min{ n, m } where n is the number of objects, and m is the number of hosts implementing objects. In case B, the problem is a special modification of the set covering problem, the hypothesis is proposed that the minimum number of identifiers in the worst case is min{ ëlb(n + 1)û, m }. So far, an upper bound is O( min { ln (min { n, m }) × ln ( n, m ) } ). To solve problem 2 in cases A and B, algorithms for switches’ setting are proposed which have the complexityO( m ) and O( k m ), , respectively, where m is the number of the edges of the graph of physical connections and k is the number of the required packet identifiers.

Generic programming with combinators and objects

The generic programming approach is popular in functional languages (for example, OCaml, Haskell). In essence, it is a compile-time generation of code that performs transformations of user-defined data types. The generated code can carry out various kinds of transformations of the values. Usually, transformations are represented as functions that implement algorithms of transformation. New transformations could be built from these transformation functions and user-defined ones. The representation based on functions has a downside: functions behave as final representations, and hence it is not possible to modify the behavior of the already built function. If the current set of transformations does not suit well, software developers are obliged to write a completely distinct transformation, even in the case when the new transformation is almost identical to the existing one. This work proposes to build transformations that are extensible after construction. The object-oriented programming paradigm will be followed, transformations will be represented not as functions but as objects. Instead of calling a transformation function, one of the object’s methods will be called. The transformation itself will be split into methods. The extensibility is supported by adding new methods and overriding existing ones. In this paper, the authors propose an approach to represent transformations as objects in the OCaml functional programming language. Every alternative in data type definition has a corresponding object method. This design allows the construction of many distinct transformations. The cases where too many methods are not desirable are also discussed. The method is applicable to represent extensible transformations for polymorphic variant data types in OCaml when other methods fail to do it. The method is not bound to any particular domain. It allows the creation of extensible transformations in OCaml. It could be ported to other functional languages supporting object-oriented programming.

Object-Oriented Programming and Software Development Paradigm

Object-Oriented Programming and Software Development Paradigm

PenRed: An extensible and parallel Monte-Carlo framework for radiation transport based on PENELOPE

Monte Carlo methods provide detailed and accurate results for radiation transport simulations. Unfortunately, the high computational cost of these methods limits its usage in real-time applications. Moreover, existing computer codes do not provide a methodology for adapting these kinds of simulations to specific problems without advanced knowledge of the corresponding code system, and this restricts their applicability. To help solve these current limitations, we present PenRed, a general-purpose, stand-alone, extensible and modular framework code based on PENELOPE for parallel Monte Carlo simulations of electron-photon transport through matter. It has been implemented in C++ programming language and takes advantage of modern object-oriented technologies. In addition, PenRed offers the capability to read and process DICOM images as well as to construct and simulate image-based voxelized geometries, so as to facilitate its usage in medical applications. Our framework has been successfully verified against the original PENELOPE Fortran code. Furthermore, the implemented parallelism has been tested showing a significant improvement in the simulation time without any loss in precision of results. Program summaryProgram title: PenRed: Parallel Engine for Radiation Energy Deposition.CPC Library link to program files:https://doi.org/10.17632/rkw6tvtngy.1Licensing provision: GNU Affero General Public License (AGPL).Programming language: C++ standard 2011.Nature of problem: Monte Carlo simulations usually require a huge amount of computation time to achieve low statistical uncertainties. In addition, many applications necessitate particular characteristics or the extraction of specific quantities from the simulation. However, most available Monte Carlo codes do not provide an efficient parallel and truly modular structure which allows users to easily customise their code to suit their needs without an in-depth knowledge of the code system.Solution method: PenRed is a fully parallel, modular and customizable framework for Monte Carlo simulations of the passage of radiation through matter. It is based on the PENELOPE [1] code system, from which inherits its unique physics models and tracking algorithms for charged particles. PenRed has been coded in C++ following an object-oriented programming paradigm restricted to the C++11 standard. Our engine implements parallelism via a double approach: on the one hand, by using standard C++ threads for shared memory, improving the access and usage of the memory, and, on the other hand, via the MPI standard for distributed memory infrastructures. Notice that both kinds of parallelism can be combined together in the same simulation. Moreover, both threads and MPI processes, can be balanced using the builtin load balance system (RUPER-LB [30]) to maximise the performance on heterogeneous infrastructures. In addition, PenRed provides a modular structure with methods designed to easily extend its functionality. Thus, users can create their own independent modules to adapt our engine to their needs without changing the original modules. Furthermore, user extensions will take advantage of the builtin parallelism without any extra effort or knowledge of parallel programming.Additional comments including restrictions and unusual features: PenRed has been compiled in linux systems with g++ of GCC versions 4.8.5, 7.3.1, 8.3.1 and 9; clang version 3.4.2 and intel C++ compiler (icc) version 19.0.5.281. Since it is a C++11-standard compliant code, PenRed should be able to compile with any compiler with C++11 support. In addition, if the code is compiled without MPI support, it does not require any non standard library. To enable MPI capabilities, the user needs to install whatever available MPI implementation, such as openMPI [24] or mpich [25], which can be found in the repositories of any linux distribution. Finally, to provide DICOM processing support, PenRed can be optionally compiled using the dicom toolkit (dcmtk) [32] library. Thus, PenRed has only two optional dependencies, an MPI implementation and the dcmtk library.

DESIGN OF THE ARCHITECTURE OF AN AUTOMATED BIBLIOGRAPHIC SYSTEM

The development of information and computer technologies has led to the need to evolve the concept of universal bibliographic control. The creation of the Internet and web technologies has allowed this concept to reach a new level by creating a number of common international standards. In addition, to ensure control and exchange of bibliographic information public bibliographic and scientometric databases were created. Today, software for managing bibliographic records is in demand in various countries in Europe and America. The most popular software in these countries is EndNote, RefWorks, BibTeX and Zotero. The development of such automated bibliographic system and the adaptation of its functionality to standards and requirements within Ukraine is relevant for a number of reasons. The main reasons are the need for every scientist and lecturer of higher education institutions to confirm their scientific achievements when hiring, submitting scientific work to various competitions, to obtain a scientific degree and so on. Today the rapid development of information and computer technology allows us to abandon the list of scientific papers in manual mode and move to the use of specialized software on smartphones. That is why the architecture of an automated bibliographic system, which is developed as a mobile application based on the Android operating system, was designed. Java is chosen as the programming language in which the software will be written, as the vast majority of the Android operating system is written in this language. A number of technologies were chosen for the selected operating system. They will simplify the process of developing a mobile application. The three-layer architecture of the automated bibliographic system is designed on the basis of the multilevel model of architecture and the MVVM template. This architecture allows to provide the main non-functional characteristics of the quality of the developed software, as well as to effectively implement the rules of business logic within the object-oriented programming paradigm.

ОБЪЕКТНО-ОРИЕНТИРОВАННЫЙ ПОДХОД К ОПИСАНИЮ ВЗАИМОДЕЙСТВИЯ ГРУППЫ РОБОТОТЕХНИЧЕСКИХ СРЕДСТВ НА ОСНОВЕ РАСПРЕДЕЛЕННОЙ ВИРТУАЛЬНОЙ МАШИНЫ

The robotic systems building approaches is analyzed in this paper. Robotics systems can beconsidered as a distributed system which interacted between individual components of the roboticsystem and interacted between robotic systems within a single complex. In first case a roboticsystem can be a collection of individual modules within a single robot. For example, individualmotors, servo drives for camera control, and the camera itself control of the unmanned aerialvehicle (UAV) can be considered as separate modules of the entire UAV within a distributed roboticsystem. In second case robotic system devoted to a massive of connected robotic system. Forexample, each UAV is a robotic system which is a part of whole robotic system that define UAVgroup interaction. An approach that allows a unified way to describe such robotic systems hierarchyis needed. In the field of robotics systems, there are many approaches to building it, which definesthe means of communication and data transfer. This paper describes the existing approaches,their advantages and disadvantages, and suggests another approach for creating distributed roboticsystems. Each nodes network connection in the existing approaches is provided by transferring datawith their subsequent processing The article describes an approach based on the encapsulation ofexecutable code in transmitted network packets. The object interaction is carried out through thecontrol data transfer that interpreted by a distributed virtual machine. The object-oriented programming(OOP) paradigm extension by the concept of a complementary object, allows to create a distributedsystem that abstracted from the network programming difficulty. An object-oriented approachbased on complementary object usage allows to develop a distributed system as a single program,concentrating on the implementation of logic. So we passing from the distributed system as animplementation of separate modules concept to the single distributed program concept without a“syntax breaking”.The proposed approach allows to represent a distributed robotic system in theOOP paradigm as a set of objects interacting over a communication network.

Algorithms and Software for Recognition of Address Structures

The article is devoted to the problem of recognizing mail addresses from an arbitrary format string. The purpose of the research is a developing software for automatic mail address recognition in two forms: as a library and as a web server. As an approach to development, object-oriented programming paradigm was used. Preference is given to the C# programming language version 8.0 and ASP.NET Core 3.1 and Entity Framework Core 3.1. Address recognition software has been developed. It can be used as a programming library and as a separate web server with open HTTP REST API. The paper substantiates the need to create software for automating the recognition of address structures from a string of arbitrary format. According to the rules for the contruction of addresses, their basic patterns and nuances are analyzed. During development, fundamentally new mail address recognition algorithms were invented in the C# programming language.

ОЦЕНКА ЭФФЕКТИВНОСТИ РАБОТЫ ГИБКИХ ПРОИЗВОДСТВЕННЫХ СИСТЕМ И РОБОТИЗИРОВАННЫХ КОМПЛЕКСОВ С ИСПОЛЬЗОВАНИЕМ ИМИТАЦИОННОГО МОДЕЛИРОВАНИЯ

The article presents a methodology for forecasting and analyzing the effectiveness of the use of flexible production systems and robotic systems. Simulation modeling and queuing theory are used as analysis tools. The production program for the release of products, which has a certain nomenclature and production volumes, is represented by a flow of applications. The production process is modeled over time and various technological situations are predicted. The computational experiment is conducted on the basis of the developed program using the object-oriented programming paradigm in Python. A probabilistic model of the dependence of the quality indicators of the line on the production program for manufacturing parts is implemented. Variants of production programs are presented in the form of combinations of dispersion fields of stages of the life cycle: frequency of receipt of parts and pro-cessing time on machine tools. The frequency of receipt of workpieces on the processing line is ap-proximated by an exponential law; the time of mechanical processing on machines is approximated by the law of normal distribution. A number of series of computational experiments have been carried out and their results have been analyzed, which characterize the stability of the line operation through the values of quality indicators: changeable loading of machine tools, loading of a parts accumulator, the probability of its overflow. The main regularities are revealed that provide high indicators of the shift loading of equipment, as well as the factors leading to their decrease.

Задачи классификации управления организацией

In the article are considered entities classification issues for the purposes of decision-making in commercial companies and also there are offered algorithm and tools for employees efficiency analysis conducting in the context of clients’ requests processing. The algorithm is based on multiparameter optimization of the initial dataset by fuzzy requirements vectors. As tools there are used Python (TKinter, matplotlib and openpyxl libraries) PHP (data processing and classification via server methods based on Yii 2.0) and also SQL (corporate CRM database queries) languages abilities. Methods, types of requests, processing arrays, program code are presented. Excel and Power BI tools are used to visualize data. They allow you to build different types of charts and graphs. This provides a visual representation of both intermediate and final results. The Power BI tool allows you to receive output in a convenient JSON format. The methodological base, used in this work, is the fuzzy logics terms (membership functions, their arguments and coefficients). Also, there are used functional and object-oriented programming paradigms. As a result of the operation of the algorithm, a set of data is formed for the classification of personnel and decision-making for each of the employees. Thus, the proposed classification allows you to rationally build a personnel policy, optimally distribute the workload, and improve operational management.

A Research on Object Oriented Programming and Its Concepts

Object Oriented Software Engineering(OOSE) is popular and widely used in developing the real time complex projects and products due to innovations in the Software Engineering and the Development of Software Industry. Object Oriented Programming(OOP) is one of the key elements of Object Oriented Software Engineering(OOSE) besides Object Oriented Analysis(OOA) and Object Oriented Design(OOD).Object Oriented Programming(OOP) is one of the Programming Paradigms for the past few decades. The OOP Paradigm Has oven taken the Procedure Oriented Paradigm or POP, where real time complex projects an products can be developed by using OOP in an easy and reliable way. The main difference between the Object Oriented Programming(OOP) and Procedure Oriented Programming(POP) is “Data controlling access to Code” in OOP where as “Code acting on Data” in POP. In this Paper I am going to discuss about the Principles of Object Oriented Programming(OOP) , its concepts and some of the Popular and widely used Object Oriented Programming Languages. I also discussed the difference between Object Oriented Programming and Procedure Oriented Programming. Merits and Issues of Object Object Oriented Programming

Adaptation of a Refactoring DSL for the Object-Oriented Paradigm

Many development environments offer refactorings aimed at improving non-functional properties of software, but we have no guarantees that these transformations indeed preserve the observable behavior of the source code they are applied on. An existing domain-specific language makes it possible to formalize automatically verifiable refactorings via instantiating predefined transformation schemes with conditional term rewrite rules.
 We present a proposal for adapting this language from the functional to the object-oriented programming paradigm, using Java instead of Erlang as a representative. The behavior-preserving property of discussed refactorings is characterized with a multilayered definition of equivalence for Java programs, including the conformity relation of class hierarchies. Based on the decomposition of a complex refactoring rule, we show how new transformation schemes can be identified, along with modifications and extensions of the description language required to accommodate them. Finally, we formally define the chosen base refactoring as a composition of scheme instances.

Top-Down and Bottom-Up Legal System as a Gödel Machine With Object-Oriented Framework

The past decade has witnessed the exponential growth of data-driven industrial revolutions, from e-commerce to the internet of things (IoT), and from social media to its notorious abuses. A similar albeit milder trend is swiping across the landscape of the legal profession has experienced the radical changes brought by advancements in Artificial Intelligence (“AI”) in recent years. There were two dominant approaches to digitally represent the legal reasoning: the top-down approach where legal experts were engaged to analyze and design the legal system by its operational parts, while in contrast, the bottom-up approach uses machine learning to build up models for legal reasoning from the decided cases. the top-down approach focuses on representing the domain knowledge into Ontological Structures that can be better communicated to the computer scientist in a CRISP-DM cycle. Top-down approach has long been employed in the legal profession to communicate legal concepts and logic relationships concisely and precisely. Vigorous attempts have been made to translate natural-language-based legal texts into machine-readable (executable) versions through tools such as Ontology Web Language (OWL). The top-down approach, despite its conceptual simplicity and clarity, suffers from a significate drawback: knowledge acquisition bottleneck, that that it is expensive to create, maintain and update such system. On the other hand, the bottom-up approach has been taking the headlines in recent years with vendors of legal analytic products that allegedly beaten the best lawyers in legal analysis for the specialized domain of the law while charging a fraction of the fee. However, one must stop to ponder upon what stands behind the miraculous veil of the technological black box: the irresistible temptation to improve the predictive accuracy, and when the algorithm runs out of permissible, admissible, and legal material of a case, it embarks on extraneous factors: parties, their lawyers, judges, and even judge’s breakfasts, which are the “prohibited zone of reasoning” that the law consistently seeks to outlaw. In light of the ambitious progress to digitize the law, some normative and doctrinal controls must be in place to ensure that the learning programs do not merely learn from whatever the past offers but learn the desirable normative values as we aspire to enshrine in our legal systems. This paper, therefore, seeks to establish the fabrics of a framework that represents legal system using autopoiesis system conception top-down while building up the ontological infrastructure with Object-Method-Property model bottom-up, which may together serve as a useful bridge between the two dominate approaches while maintaining the legal system as we know it. This paper will start top-down by discussing the system dynamics of the law as a self-reproducing self-referential closed autopoiesis social system and then advances to analyze Godel Machine concept (“GM”) in computer science may be employed to digitally re-produce the organics of the law as a social system. Then, this paper will present some fundamentals of the Object-oriented programming (“OOP”) paradigm and how its inherent similarity to the legal reasoning forms the foundation to fit the building stocks from existing legal materials bottom-up into the scaffold of the system of law designed top-down. A line must be drawn between the part of the law that should be built top-down and the part bottom-up. The importance of maintaining a human-centred top layer of the law and the benefit of automating the lower layers through machine learning must be balanced. The OOP-GM model could have multiple benefits. First, it can maintain the adaptivity of the legal system to social changes while consistently enforcing normative expectations. Second, the OOP-GM offers a comprehensive model of ontological construction of legal concepts while maintaining compatibility to integrate with most objected-reoriented programming languages. Thirdly, OOP-GM offers greater analytical precision for the communication of law which provides for greater general access to the law as well as structural clarity for legal drafting, practices, and education. Lastly, machine learning functions with specific control on the input parameters is very unlikely to be influenced by extraneous factors, which provides for greater fairness and confidence in the legal system.

Computer optics software construction using multi-paradigm design

The common goal for all stages of software design is the components reusing that corresponds to the basic principles of the multi-paradigm approach considered in the article. The main aim of the article is a forming of new conceptual bounds in the software design based on the most significant features of procedural, object-oriented and generic programming paradigms. For each paradigm, an example of calculating a diffractive optical element (DOE) phase function on a given set of points is considered, and their advantages and disadvantages are evaluated. Code snippets were created using the C# language supporting several programming paradigms that allows defining algorithmic, behavioral and syntactic commonality. The multi-paradigm approach creates the ability for the implementation of different programming techniques during research in the area of computer optics.

Комп’ютерне моделювання руху пасажирського транспорту на зупинних пунктах міських маршрутів

The paper investigates the problem of optimization of public transport traffic based on simulation. The aim of the work is to assess the operational characteristics of the urban public transport organization system to meet the transport needs of city residents. A discrete simulation model for organizing the movement of passengers and route vehicles at a bus stop has been built. The vehicle in conjunction with the bus stop is considered as a multi-channel queuing system with failures. An algorithm for determining the average waiting time of passengers in a queue and an algorithm for determining a rational time interval between route vehicles arriving at a bus stop have been developed. The number of free seats in the route vehicle is set as a random variable. The algorithms are based on the use of dynamic data structures, in particular, queues of limited length. In addition to the maximum and current length, the queue structure includes an array whose elements are the time intervals between the appearance of passengers at the stopping point. In this case, the intervals between the addition of the next passenger to the queue change depending on the time of day. The model is implemented on the example of stopping points on one of the bus routes in Cherkassy using an object-oriented programming paradigm. The software project was executed using the C ++ language in the fully functional Visual Studio 2019 application development environment. The application of the proposed model in the reorganization of public transport allowed to reduce the average waiting time for passengers from 11 minutes to 9 minutes and to develop recommendations on how to solve the problem of overcrowding at stop points during peak hours, which is especially important during the quarantine period due to the spread of Covid-19.

The method of improving the efficiency of assessment of support of object-oriented software

The work examines issues of improving the quality and level of support of object-oriented software. Analysis of existing software quality models demonstrated the relevance of maintaining an appropriate level of software support. At the same time, the existing approaches are mostly distinguished by terminological ambiguity, variety of formulations and methods of measurement and interpretation of results. The problem is also the complexity of the support process itself, which arises from a large number of internal and external factors, which makes the adjustment of the support model a long-term and complex process. A modification of the delta maintainability model (DMM) is proposed by expanding the measurable properties of the source code, determining their relationship with the maintainability sub-characteristics defined by the ISO/IEC 25010:2016 standard. A matrix of relations of sub-characteristics of ISO 25010 quality with the characteristics of the source code properties is constructed. The work uses WMC, NOC, NOM, MLOC, PAR, VG metrics, which take into account the features of the object-oriented programming paradigm. A mathematical model has been developed for calculating compliance indicators. To check the adequacy of the model, an experimental study was conducted on the example of 6 open source software products with the implementation of the object-oriented part in the Python programming language, which have different functionality. The metrics of the DMMS+ model together with DMMS have been proven to reflect the relationship between source code changes that affect maintainability. The correlation of DMMS and DMMS+ indicators according to the analysis of 1000 changes made in the repository is from 0.77 to 0.86. Predictive assumptions about object development include maintaining object-oriented software by modifying the delta maintainability model (DMM) by extending the measurable properties of the source code.

Distr6: R6 Object-Oriented Probability Distributions Interface in R

distr6 is an object-oriented (OO) probability distributions interface leveraging the extensibility and scalability of R6, and the speed and efficiency of Rcpp. Over 50 probability distributions are currently implemented in the package with `core' methods including density, distribution, and generating functions, and more `exotic' ones including hazards and distribution function anti-derivatives. In addition to simple distributions, distr6 supports compositions such as truncation, mixtures, and product distributions. This paper presents the core functionality of the package and demonstrates examples for key use-cases. In addition this paper provides a critical review of the object-oriented programming paradigms in R and describes some novel implementations for design patterns and core object-oriented features introduced by the package for supporting distr6 components.

Architecture of an object-oriented software implementation of algorithms for a full cycle of optical images of an unknown object processing

Formulation of the problem. In the process of software processing of highly distorted optical images (OI) of distant objects formed in ground-based telescopes, it becomes necessary to solve the problems of estimating the parameters of background radiation, filtering images of information objects, isolating them on the original OIs, and classifying them. This situation is typical when processing images of both a single object and moving space objects in images of the starry sky. In this regard, the authors, within the framework of the object-oriented approach, have developed a universal design pattern that makes it possible to implement the necessary processing from a single point of view.Objective. Development of a prototype for software implementation of algorithms for solving the aforementioned problems within the framework of the design pattern proposed by the authors. Examining the possibility of its use in the development of software architecture, with examples of OI processing obtained in natural conditions.Results. The article presents the results of the development of the software implementation algorithms architecture for processing distorted OIs of remote space objects formed in ground-based telescopes. Within the framework of the objectoriented programming paradigm using the Universal Modeling Language (UML), a description of the main components of static and dynamic architecture models is provided. For the static model, a new representation of the OI is proposed using a set of Boolean matrices. Within the framework of the dynamic model, a universal template (interface) has been developed for the implementation of algorithms for processing distorted OIs using UML activity diagrams. Its particularization is given when solving the problems of highlighting individual structural elements in the image of a single object and highlighting the tracks of moving objects in the image of the starry sky.Practical significance. The developed software implementations of low-quality optical image processing algorithms can be used in the modernization of software systems for ground-based telescopes.

Autenticación de usuarios en aplicaciones empresariales mediante Spring Security

En la actualidad, la seguridad representa un factor clave en el desarrollo de aplicaciones web de tipo empresarial, debido al hecho de administrar de manera eficiente un número alto de solicitudes efectuadas por varios usuarios de manera simultánea, en ese sentido, la autentificación y autorización juegan un rol importante debiendo ser consideradas en el diseño de la funcionalidad durante el desarrollo de la aplicación. En este artículo, proponemos la implementación de una estrategia de seguridad basada en el framework Spring Security, abordando los temas de autentificación de usuarios, administración de roles y permisos de acceso a componentes, y manejo de sesiones; todo ello, bajo un esquema de arquitectura multicapa aplicando los conceptos del patrón MVC (Modelo-Vista-Controlador) y el paradigma de la programación orientada a objetos. La fácil integración y configuración de Spring Security con otros componentes de software, también se discute en este artículo; permitiendo la construcción de soluciones confiables, robustas y seguras de lado del servidor. Asimismo, la estrategia de seguridad que se describe en este artículo, puede ser considerada para la construcción de API REST, Microservicios o sistemas bidireccionales basados en eventos.

Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames

An end-to-end computational platform is presented, which automates seismic design, nonlinear structural model construction, and response simulation (static and dynamic) of steel moment resisting frames. A modular framework is adopted along with the object-oriented programming paradigm to ensure the adaptability of the platform. The seismic design module iteratively generates code-conforming section sizes and detailing for beams, columns, and beam-column connections based on the relevant input design variables including the building configuration (e.g., the number of stories, the number of lateral-force resisting systems, and the building dimensions), loads (e.g., dead and live loads on each floor), and site conditions (mapped spectral acceleration parameters). The nonlinear model construction and analysis module takes the design results as input and produces structural models that capture flexural strength and stiffness deterioration in the frame beam-column elements, and performs pushover and response history analyses. Illustrative examples are presented to demonstrate the reliability, accuracy, and efficiency of the platform, which significantly reduces the time and effort involved in producing iterative structural designs and conducting nonlinear analyses, both of which are necessary for performance-based seismic design. Additionally, the platform can be used to create an extensive database of archetype steel moment frame buildings towards the development of analytics-driven design methods.