Automated Pipeline for the Deployment using OpenShift

Small and Medium-sized Enterprises (SMEs) face unique challenges in software deployment, often dealing with limited resources, budget constraints, and the need for fast, reliable updates. This review outlines a Continuous Integration and Continuous Deployment (CI/CD) model specifically tailored to optimize software deployment in SME environments. The proposed CI/CD framework enhances operational efficiency by automating the integration, testing, and deployment processes, significantly reducing the risk of human error and deployment failures. The model leverages key CI/CD practices, including automated testing, version control, and continuous monitoring, to ensure seamless updates and minimal downtime. By integrating tools like Jenkins, GitLab, and Docker, SMEs can streamline code integration, enhance collaboration between development and operations teams, and enable faster, more frequent releases. Automated testing ensures that code changes are validated before deployment, identifying and addressing potential issues early in the development cycle. The framework also emphasizes rollback capabilities and monitoring systems to further reduce deployment risks. Rollbacks allow for quick recovery in case of failure, while continuous monitoring enables real-time detection of performance issues, helping SMEs maintain operational uptime and minimize service disruptions. Moreover, the model supports a microservices architecture, allowing SMEs to scale their applications efficiently without compromising stability. Incorporating CI/CD practices fosters agility, enabling SMEs to respond rapidly to market demands and customer feedback. This model not only improves software quality and deployment speed but also aligns with the budgetary and operational limitations of SMEs. It provides a cost-effective solution that enhances overall system reliability and reduces the frequency of software-related incidents. This CI/CD model serves as a practical approach to software deployment, empowering SMEs to optimize their software development lifecycle while ensuring continuous improvement and operational stability.

Container technology has been prevalent and widely-adopted in production environment considering the huge benefits to application packing, deploying and management. However, the deployment process is relatively slow by using conventional approaches. In large-scale concurrent deployments, resource contentions on the central image repository would aggravate such situation. In fact, it is observable that the image pulling operation is mainly responsible for the degraded performance. To this end, we propose Cider — a novel deployment system to enable rapid container deployment in a high concurrent and scalable manner at scale. Firstly, on-demand image data loading is proposed by altering the local Docker storage of worker nodes into all-nodes-sharing network storage. Also, the local copy-on-write layer for containers can ensure Cider to achieve the scalability whilst improving the cost-effectiveness during the holistic deployment. Experimental results reveal that Cider can shorten the overall deployment time by 85% and 62% on average when deploying one container and 100 concurrent containers respectively.

Bridging the gap between informal, imprecise, and vague user requirements descriptions and precise formalized specifications is the main task of requirements engineering. Techniques such as interviews or story telling are used when requirements engineers try to identify a user's needs. The requirements specification process is typically done in a dialogue between users, domain experts, and requirements engineers. In our research, we aim at automating the specification of requirements. The idea is to distinguish between untrained users and trained users, and to exploit domain knowledge learned from previous runs of our system. We let untrained users provide unstructured natural language descriptions, while we allow trained users to provide examples of behavioral descriptions. In both cases, our goal is to synthesize formal requirements models similar to statecharts. From requirements specification processes with trained users, behavioral ontologies are learned which are later used to support the requirements specification process for untrained users. Our research method is original in combining natural language processing and search-based techniques for the synthesis of requirements specifications. Our work is embedded in a larger project that aims at automating the whole software development and deployment process in envisioned future software service markets.

In today’s IT job market, security is viewed as a key component of a computer science graduate’s competencies, since security must be integrated into all software products. The aim of the article is to present practical tasks, the inclusion of which in the student training system will help them acquire the skills relevant for a software developer in integrating security into software products. Traditionally, the security of software products was viewed as a separate phase of the development life cycle and was implemented by a separate security team. Modern software development requirements call for maintaining security measures at every stage of the software product life cycle. This is achieved, in particular, through the introduction of the DevSecOps methodology, which integrates security practices into the DevOps process. Students who have been introduced to DevOps technology during classes on collaborative software development are asked to create a new project on GitLab and reproduce all stages of the software development process. While completing each task, students must implement the corresponding security measures: ensure secure access control, configure project privacy settings, maintain secure work with local repository copies, define automated CI/CD stages, manage version control, and more. According to the authors, completing these tasks helps students develop an understanding that security measures are an integral part of the software development and deployment process within the DevSecOps strategy. It was concluded that using tasks involving software product development based on the DevSecOps methodology aligns students’ learning activities as closely as possible with real-world working conditions in an IT company. Further research can be directed toward the development of tasks for interdisciplinary comprehensive learning projects that maximize consideration of the needs of modern students and the demands of the labor market.

One of the main advantages of the cloud computing paradigm is that it simplifies the time-consuming processes of hardware provisioning, hardware purchasing and software deployment. Currently, we ar...

Customer satisfaction is an overall consumer behavior, and affected by various influencing factors. The focuses of a customer study are on unsatisfactory aspects, reasons for being unsatisfied, and suggestions for improvements of a new product or service. Quality of a product or service can be viewed from different angles, and has the several dimensions. Many researchers have studied the differences between quality and customer satisfaction. Categorizing the quality attributes of a product or service into must-be quality, attractive quality, and performance quality establishes a meaningful perspective on their influences over customers, and helps the customer-centric development of a product or service. The principle and process of quality function deployment (QFD) can apply to service development. Crossfunctional teams taking part in the brainstorming process of QFD development is equally important as creating the QFD diagram. Affective engineering is an improvement over conventional methods that focus solely on the physical requirements of customers.

Users of Internet-based services are increasingly concerned about the trustworthiness of these services (i.e., apps, software, platforms) thus slowing down their adoption. Therefore, successful software development processes have to address trust concerns from the very early stages of development using constructive and practical methods to enable the trustworthiness of software and services. Unfortunately, even well-established development methodologies do not specifically support the realization of trustworthy Internet-based services today, and trustworthiness-oriented practices do not take objective evidences into account. We propose to use controlled software life-cycle processes for trustworthy Internet-based services. Development, deployment and operations processes, can be controlled by the collection of trustworthiness evidences at different stages. This can be achieved by e.g., measuring the degree of trustworthiness-related properties of the software, and documenting these evidences using digital trustworthiness certificates. This way, other stakeholders are able to verify the trustworthiness properties in a later stages, e.g., in the deployment of software on a marketplace, or the operation of the service at run-time.KeywordsTrustTrustworthinessSoftware Development MethodologyDigital Trustworthiness CertificateMetricsEvidences

The spread of the Covid-19 virus which is still increasing requires the Indonesian government to issue a policy to limit mobility for the sake of the nation's recovery. In the end, community activity in public places decreased and community activity in the house increased. This causes an increase in internet usage traffic, including digital transactions. Banking is one of the industries that also plays a major role in digital transactions, one of which is Bank BCA which has been the largest and most trusted private bank in Indonesia since 1957. The study will use six variables, namely product quality, service quality, environment quality, product assortment, customer satisfaction, and customer loyalty on the BCA Mobile application. This study uses a quantitative approach with Structural Equation Model (SEM) analysis techniques and AMOS 22.0 software. Collecting data in this study using an online questionnaire to 100 respondents with the characteristics of men and women who live in Surabaya and aged 18-60 years who have used the BCA Mobile application at least three times in the last six month. The results of this study indicate that product quality has a significant effect on customer satisfaction with a regression coefficient of 0.354 but product quality has no significant effect on customer loyalty with a regression coefficient of 0.059, service quality has a significant effect on customer satisfaction with a regression coefficient of 0.520 and service quality also has a significant effect. on customer loyalty with a regression coefficient of 0.283, environment quality has a significant effect on customer satisfaction with a regression coefficient of 0.480 and environment quality also has a significant effect on customer loyalty with a regression coefficient of 0.287, product assortment has no significant effect on customer satisfaction with a regression coefficient of 0.060 and product assortment also has no significant effect on customer loyalty with a regression coefficient of 0.097, and customer satisfaction has an effect significant to customer loyalty with a regression coefficient of 0.312.

A general formulation for simulating the dynamic deployment of thick origami

Support mechanisms for cloud configuration using XML filtering techniques: A case study in SaaS

While AI applications are popular in many domains, they should work harmoniously with domain exerts and end users. Furthermore, to develop such harmonious AI applications, we need agile AI platforms for not only developers, but also domain experts. Currently, we have developed PRactical INTElligent aPplicationS (PRINTEPS), which is a user-centric platform to develop integrated intelligent applications. This paper reports on a multi-robot cafe as a practical application of PRINTEPS and evaluates its service quality at a university festival. It is not clear if robotic services are perceived as attractive and/or valuable, and how the concept of robotic services could lead to customer satisfaction. Therefore, the evaluation of the quality of such services is necessary to identify the key factors that could contribute to improving customer satisfaction. The purpose of this research is to identify key factors in improving customer satisfaction in robotic services by evaluating the service quality of the multi-robot cafe. We designed questionnaire items based on SERVQUAL which is one of the service quality evaluation measurement methods and conducted a questionnaire survey at a multi-robot cafe held at a university festival. From the collected data, we modeled and evaluated the relationship between service quality and customer satisfaction to identify key factors in robotic services using a Bayesian network. In addition, the experiment confirms the usefulness of PRINTEPS.

The proliferation of commodity based big data platforms and an exponential increase in the research in machine learning techniques lead to a change in application development paradigm from traditional control-flow Software 1.0 to data-flow Software 2.0 programming paradigm e.g. use of machine learning based models over customer-scoring methods for generating recommendations. The Software 2.0 paradigm is a data-driven programming that requires specialized data management to get clean, governed and unbiased data sets, well defined neural network architectures for building a model, efficient model training, extensive testing and high performance deployment. Unlike Software 1.0 paradigm, a Software 2.0 program's output is probabilistic in nature as the correctness is highly dependent on the size and quality of the input data, however the program's performance is deterministic. This has led to the research in specialized hardware and high performance architectures for deep-learning algorithms. Also, the nature of Software 2.0 paradigm brings in heterogeneity in the whole life cycle starting from an application development until its deployment in the production environment and hence posing numerous architecture and performance challenges.In this paper, we outline the research problems that will emerge due to migration of apart of Software 1.0 to Software 2.0. We present the challenges and the approaches to address them, for accelerating the development and deployment of Software 2.0 programs. We also envision evolution of existing enterprise IT systems to the data-driven enterprise IT systems, referred to as EIT 2.0. We have compared a conventional development life-cycle of applications with that in EIT 2.0. We address research problems and approaches with the related state-of-art in the performance engineering of modern enterprise applications during its life cycle in EIT 2.0.

Building automation integrates the active components in a building and, thus, has to connect components of different industries. The goal is to provide reliable and efficient operation. This paper describes how simulation can support building automation and how the deployment process of simulation assisted building control systems can be structured. We look at the process as a whole and map it to a set of formally described workflows that can partly be automated. A workbench environment supports the process execution by means of improved planning, collaboration and deployment. This framework allows integration of existing tools, as well as manual tasks, and is, therefore, many more intricate than regular software deployment tools. The complex environment of building commissioning requires expertise in different domains, especially lighting, heating, ventilation, air conditioning, measurement and control technology, as well as energy efficiency; therefore, we present a framework for building commissioning and describe a deployment process that is capable of supporting the various phases of this approach.

The integration of Jenkins and Amazon Web Services (AWS) into Siemens Opcenter MES (Manufacturing Execution System) represents a transformative approach to modernizing industrial software deployment. As manufacturing systems evolve toward Industry 4.0, the need for agile, scalable, and automated deployment pipelines becomes critical. This paper explores how Continuous Integration and Continuous Deployment (CI/CD) methodologies, facilitated by Jenkins automation and AWS cloud infrastructure, can bridge the digital divide in traditional MES environments. We present a structured framework for automating build, test, and deployment processes in Siemens Opcenter, leveraging AWS services (EC2, ECS, Lambda, CloudFormation) for scalable and secure execution. Key benefits include reduced deployment times, enhanced reliability, and cost-efficient scalability, while addressing challenges such as security, compliance, and system dependencies. A real-world case study demonstrates measurable improvements in deployment speed and operational efficiency, validating the proposed approach. Finally, we discuss emerging trends, including AI-driven deployment optimization, serverless architectures, and edge computing, highlighting future directions for MES DevOps. This research provides actionable insights for manufacturing IT teams seeking to adopt modern CI/CD pipelines while maintaining robustness in industrial environments.

The success of every physical retail store relies heavily on the behaviour of its customers. Various attempts have been made to explore how Islamic store attributes affect customer satisfaction and the behaviour of patrons in retail settings. Previous studies on retail patronage behaviour have primarily focused on the 4Ps (product, price, place, and promotion) or their subsets as store attributes. However, there is a lack of research on the role of customer satisfaction as a mediating factor in retail patronage behaviour. This study investigates the impact of Islamic store attributes on customer satisfaction and retail patronage behaviour within the context of Islamic fashion retail stores. Through a cross-sectional study, the potential relationship between the 7Ps of marketing mixes, known as Islamic store attributes (product, price, place, promotion, people, process, and physical environment), and customer satisfaction and retail patronage behaviour are examined. The findings of this research confirm that customer satisfaction plays a valid mediating role in the relationship between price, promotion, people, process, physical environment, and retail patronage behaviour. Therefore, it is evident that practitioners must create appealing and suitable Islamic store attributes to influence customer satisfaction and foster positive retail patronage behaviour. Additionally, diverse strategies are required to cater to the needs of different customer segments. Based on these investigations, recommendations have been made for future research in this area.