Hadith inspired software development methodology

Until recent years, there are many software development methods to create software application to support company’s business automation. There are many method of developing software application, such as waterfall model, prototype, agile software development, rapid application development, dynamic system development model, extreme programming, feature driven development, joint application development, lead development, rational unified process, scrum development, and so on. Jamsheer K explains these methods in detail (Jamsheer K., 2017). Each of those methods has the advantages and disadvantages. Since none of these methods which are considering Quran and hadith as its guidance, it is important to conduct a research to find how we conduct methodology of software development. In this research paper, the construction will be as follow: introduction, research methodology, and result

Simplifying the construction of domain-specific automatic programming systems: The NASA automated software development workstation project

An overview is presented of the Automated Software Development Workstation Project, an effort to explore knowledge-based approaches to increasing software productivity. The project focuses on applying the concept of domain specific automatic programming systems (D-SAPSs) to application domains at NASA's Johnson Space Center. A version of a D-SAPS developed in Phase 1 of the project for the domain of space station momentum management is described. How problems encountered during its implementation led researchers to concentrate on simplifying the process of building and extending such systems is discussed. Researchers propose to do this by attacking three observed bottlenecks in the D-SAPS development process through the increased automation of the acquisition of programming knowledge and the use of an object oriented development methodology at all stages of the program design. How these ideas are being implemented in the Bauhaus, a prototype workstation for D-SAPS development is discussed

Supporting the Everyday Work of Scientists: Automating Scientific Workflows

This paper describes an action research project that we undertook with National Research Council Canada (NRC) scientists. Based on discussions about their \ud difficulties in using software to collect data and manage processes, we identified three requirements for increasing research productivity: ease of use for end- \ud users; managing scientific workflows; and facilitating software interoperability. Based on these requirements, we developed a software framework, Sweet, to \ud assist in the automation of scientific workflows. \ud \ud Throughout the iterative development process, and through a series of structured interviews, we evaluated how the framework was used in practice, and identified \ud increases in productivity and effectiveness and their causes. While the framework provides resources for writing application wrappers, it was easier to code the applications’ functionality directly into the framework using OSS components. Ease of use for the end-user and flexible and fully parameterized workflow representations were key elements of the framework’s success. \u

Avaliação da ferramenta de testes Selenium no desenvolvimento guiado por teste de uma aplicação web

Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2019.O teste de software é um processo importante no desenvolvimento de software. Em algumas situações, a automação desse processo pode representar benefícios importantes para o controle de qualidade do software. Nesse contexto, existem diversas ferramentas de automação de testes que buscam facilitar a atividade de automação. O presente trabalho procura desenvolver um arcabouço para avaliação do Selenium, uma ferramenta de automação de testes de aplicações web. Para atingir esse objetivo, inicialmente alguns critérios de avaliação de ferramentas foram definidos para que, após o desenvolvimento de uma aplicação web por meio do processo de desenvolvimento guiado por testes (TDD), o uso da ferramenta de automação de testes fosse então avaliado.Software testing is an important process of software development. In some situations, automating this process may produce some important benefits for software quality control. Therefore, there are several test automation tools that aims to facilitate automation of software testing. This work aims to evaluate Selenium, a test automation tool for web application. To achieve this goal, some evaluation criteria was defined to evaluate the automation testing tool after the development of a web application in which the Test Driven Development (TDD) process was used

Quality Control in Automated Manufacturing Processes – Combined Features for Image Processing

In production processes the use of image processing systems is widespread. Hardware solutions and cameras respectively are available for nearly every application. One important challenge of image processing systems is the development and selection of appropriate algorithms and software solutions in order to realise ambitious quality control for production processes. This article characterises the development of innovative software by combining features for an automatic defect classification on product surfaces. The artificial intelligent method Support Vector Machine (SVM) is used to execute the classification task according to the combined features. This software is one crucial element for the automation of a manually operated production process.

Automation Script For Evaluation Of Source Codes

This thesis focuses on the development of an automation script integrated with a Web application to extract crucial information from .NET projects. The objective was to streamline the process of retrieving database type, database name, and .NET version, build status zip files, generate comprehensive reports, and present key metrics on a dashboard. The automation script was implemented in Python, utilizing packages such as os, subprocess, zipfile, re, json5, shutil, and xml.etree.ElementTree. The script automated the extraction of information from the zip files, eliminating the need for manual intervention. It executed the .Net build command to determine the success of the build and captured error details if any. The appsettings.json file was parsed to obtain the database type and name, while the csproj files provided the .NET version The developed automation script was integrated with a Web application, allowing users to upload zip files and apply the script effortlessly. The application displayed a dashboard presenting statistical insights, including the counts of database types used, the distribution of .NET versions, and the overall success rate of the build process. Reports were generated, providing detailed breakdowns of the build process and error details. The experimental setup involved using various test files, including sample files representing SQL Server and SQLite databases and files intentionally modified to include build errors. The results obtained from running the automation script on the test files demonstrated its effectiveness and efficiency in extracting information and generating accurate reports. The script showcased advantages over existing methods and tools, offering simplicity, cost-effectiveness, and flexibility. The thesis concludes with a discussion of the strengths and limitations of the automation script, potential improvements, and recommendations for future automation efforts. Overall, the developed automation script proved valuable for extracting information from zip-filed .NET projects and demonstrated its potential for enhancing productivity and decision-making in software development processes

Towards a safe MLOps Process for the Continuous Development and Safety Assurance of ML-based Systems in the Railway Domain

Traditional automation technologies alone are not sufficient to enable driverless operation of trains (called Grade of Automation (GoA) 4) on non-restricted infrastructure. The required perception tasks are nowadays realized using Machine Learning (ML) and thus need to be developed and deployed reliably and efficiently. One important aspect to achieve this is to use an MLOps process for tackling improved reproducibility, traceability, collaboration, and continuous adaptation of a driverless operation to changing conditions. MLOps mixes ML application development and operation (Ops) and enables high frequency software releases and continuous innovation based on the feedback from operations. In this paper, we outline a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain. It integrates system engineering, safety assurance, and the ML life-cycle in a comprehensive workflow. We present the individual stages of the process and their interactions. Moreover, we describe relevant challenges to automate the different stages of the safe MLOps process

Automation Testing Using Data Driven Approach

As we all know that Software testing is time –consuming and expensive process, especially in safety-secured applications. Testing Automation would allow us to reduce development cost and will help us in increasing the quality of Software. Automation Framework follows Data Driven Approach which passes data stored in Spreadsheet as input to the number of test scripts written for executing test cases. We have developed this Framework by using Selenium IDE and languages such as Java and HTML. Framework will automate the testing of software in different phases using a Driver Script and each phase will test the web application and generate the final reports as screenshots, logger report and HTML report. These reports are generated automatically with the help of the driver script and selenium webdriver and the complete final report is sent to the client as an electronic mail. DOI: 10.17762/ijritcc2321-8169.16042

Trust in MDE Components: the DOMINO Experiment

International audienceA large number of modeling activities can be automatic or computer assisted. This automation ensures a more rapid and robust software development. However, engineers must ensure that the models have the properties required for the application. In order to tend towards this requirement, the DOMINO project (DOMaINs and methodological prOcess) proposes to use the socalled trustworthy Model-Driven Engineering (MDE) components and aims to provide a methodology for the validation and qualification of such components

Model driven development for enterprise applications

Model-Driven Development (MDD) is an approach to software development that advocates the use of models as the primary artifacts that drive the development process. Automation and abstraction are the two main pillars of MDD. Automation is mainly achieved in the form of code generation. Automated transformations are used to generate code from models. In this thesis, we establish that efficient code generation is a viable option and that it enhances productivity. Significant amount of code can be auto- generated if software patterns are automated using model transformations. We demonstrate the process of automation of a subset of enterprise-application patterns by making use of a state-of-the-art MDD tool called IBM Rational Software Architect. We illustrate the working and outcome of our automated patterns with the help of a case study: a Team Registration System