Analysis on the Research of Database Programming Technology in Computer Software Engineering

Developing secure web applications is a difficult task because the original purpose of the World Wide Web (WWW) was to freely share information. This paper presents a prototype for a platform-independent secure geospatial visualization and collaboration web application. This system is developed using object-oriented system design methodology. It integrates software engineering, web security, visualization and Java technologies with the WWW to enable production, dissemination, and use of imagery and geospatial information on a hierarchical level through the WWW. Several visualization modules on the client side are developed using the Model-View-Controller design pattern technology. These modules are plug-in and reusable components for other similar applications. A Visualization Web Bridge and Data Providers on the server side are designed and implemented to bridge the gap between the Internet users and the remote geospatial databases. Several Internet security mechanisms are implemented to secure system configuration, to authenticate and authorize data access, and to secure information sharing. The system is an open and extensible source. The application results demonstrate that this system provides a certain level of security, and that users have flexibility to query, visualize, manipulate, and analyze real-time remote geospatial data. It exhibits that multiple users in geographically dispersed organizations can conveniently collaborate and share information as well as 3D images through this system. It also demonstrates that using object-oriented system design and design pattern provides a great chance for software reuse and increases the system flexibility.

Research on the application of data mining technology in software engineering

International Journal of Network and Communication Research (IJNCR) is an international, double-blind peer-reviewed journal published by the European Centre for Research Training and Development, United Kingdom. IJNCR publishes original contributions at the forefront of new knowledge and techniques that covers the field of Computer Science, Computer Engineering, Software Engineering, Information and Communication Technologies, Telecommunication Engineering, […]

Background/Objectives: The component based systems make the possibility to develop a better quality system in a faster way in order to satisfy the customer needs. Component based software development is the new technology in software engineering. Component based methods phases the importance of reusing the existing components in software engineering thereby, ensuring lower cost which leads to a versatile development approach. Method/Statistical Analysis: In this study, a novel methodology of Component Based Software Development, its various issues, advantages and limitations in developing software is proposed. This study also focuses on component-based software engineering and to reveal how it can be utilised efficiently and effectively to develop high-quality software products. Findings: Under ideal situations, with minimal testing efforts, integration of reliable software components should produce high-quality software. It additionally, it provides a short summary of the various factors; its models and additionally highlights a number of points regarding the performance and quality factors that are necessary for a software development. Application/Improvements: Feature enhancements in this can be a new technology that could overcome the existing drawbacks Keywords: Component Deployment, Reliable Software, Object Oriented Software, Software Engineering

Starting from the overview of technology of big data and software engineering technology, this paper discusses the core technology of software engineering and the application of software engineering technology. In order to better follow the development trend of the times and promote social and economic construction, it is necessary to do a good job in the research of software engineering. Relevant people can analyze the application of software engineering technology from the perspective of digital information based on the background of the times, so as to promote the continuous improvement and development of software engineering technology.

The main core of software engineering key technologies is the development of software services, ensuring the scientificity, security, and stability of the application software engineering system. At present, China’s economic development urgently needs the support of software engineering technology. Based on the T-ACO algorithm, the scientificity of software engineering and the accuracy of data have been significantly improved compared with traditional software engineering technology. It plays an important role in promoting the follow-up software engineering technology. In order to effectively analyze the key technology of engineering software, an improved ant colony algorithm based on T distribution is proposed in this paper. Because the basic ant colony algorithm is easy to fall into the local optimum and the optimization accuracy is low, in the optimization process, at the beginning of the pheromone update, the introduction of the T distribution is helpful for the basic ant colony algorithm to make up for its shortcomings. Adding pheromone variables to the basic ant colony algorithm improves the diversity of the ant colony, thereby eliminating the limitations of local optimal solutions. At the same time, the T-ACO algorithm also improves the search accuracy and convergence speed of automatic data generation in software engineering. In this paper, the performance of the T-ACO algorithm is simulated by experiments. Experimental analysis shows that when the population size is small, the T-ACO algorithm may sometimes not converge to the optimal solution, but when the population size is large (≥50), the T-ACO algorithm may converge to the optimal solution. It can realize the coverage of the total path by the output test case set. While the other two algorithms can achieve full path coverage, they are not stable, resulting in an average coverage between 90% and 100%. The T-ACO algorithm not only has good accuracy in creating test case sets, but also has good algorithm performance, and it is suitable as a multipath test case creation algorithm.

Modern software engineering tools, technologies and approaches can radically speed up the development and engineering of multi-tier cloud applications and may be applied to the cloud/edge/fog computing paradigm. The engineering of such cloud applications must take into account Non-Functional Requirements (NFRs), such as end-user, software and cloud infrastructure requirements for low-power computing, performance, availability, elasticity, operational cost and similar. Such requirements should be identified and considered early in the software engineering process and decisions must be taken on their trade-offs, e.g. greater service availability while balancing operational costs. This paper introduces a new multi-criteria decision making approach via the use of the Pareto method to aid the software engineers with NFR trade-off adjustment possibilities. Adjustment possibilities may include geographic distribution of application tiers, horizontal and vertical scaling of virtual resources (such as Virtual Machines and containers) and similar. This work builds on top of technologies and tools developed under the SWITCH and ENTICE projects. The impact of this approach is the ability to fully tailor the adjustments of non-functional properties of the multi-tier cloud application according to the decisions of its engineer. An early warning system cloud application is used to present the approach.

Welcome to WEASELTech 2007, the 1st International ACM Workshop on Empirical Assessment of Software Engineering Languages and Technologies. WEASELTech '07 is held in conjunction with the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE) 2007 in Atlanta Georgia on November 5th. Software-engineering research often involves new languages, notations, tools, and methods that a human designer or analyst uses to improve productivity, quality, etc. Inherent to any proposed tool, method, language, or notation is a claim that its use will benefit some development task. Ultimately, such claims must be validated empirically so that a practitioner, when looking to adopt a particular technique or tool, can make the choice based on rigorous scientific data. There are several different types of empirical study (e.g., surveys, case studies, and controlled experiments) each providing a different degree of strength and each appropriate to validate different kinds of empirical questions and contexts. Despite their importance, empirical studies of SE tools and approaches are rarely carried out, or at least rarely reported. Topics of interest include such things as case studies that apply a software-engineering tool or method to a realistically sized problem; controlled experiments that compare tools or methods with respect to some softwaredevelopment task; the usability of modeling languages and notations with respect to some task; and empirical studies that attempt to gauge the practical utility of automated verification tools. WEASELTech aims to bring together researchers and practitioners to share their experiences in evaluating an SE tool or method or artifacts that are used by a particular tool or method. WEASELTech received 15 manuscripts for review. These included industrial case studies, experience reports, and position papers. Each was reviewed by at least two members of the program and organizing committee. Of these submissions 11 were accepted for publication in the proceedings and inclusion in the technical program of the event.

The ICSENT'2018, December 26-28, 2018. The ICSENT'2018 conference is an international forum for the presentation of technological advances and research results in the fields of Software Engineering and Technologies. A major goal and feature of it is to bring academic scientists, engineers, industrial researchers together to exchange and share their experiences and research results about most aspects of Software Engineering and Technologies.

The Software Engineering Institute (SEI) is a federally funded research and development center situated as a college‐level unit at Carnegie Mellon University with facilities in Pittsburgh, PA and Arlington, VA. The SEI was created in 1984 by the U.S. Department of Defense to mature and transition new technology to industry so that the government could acquire software‐intensive systems from a broader, more capable contractor base. The SEI works to transform software engineering from an ad‐hoc, labor‐intensive activity to a managed, technology‐supported engineering discipline. The SEI's objectives are to accelerate the introduction and widespread use of high‐payoff software engineering practices and technology by identifying, evaluating, and maturing promising or underused technology and practices; maintain a long‐term competency in software engineering and technology transition; enable government and industry organizations to make measured improvements in their software engineering practices by working with them directly; and foster the adoption and sustained use of standards of excellence for software engineering practice. The institute explores promising solutions to potentially significant problems, selects the best candidate solutions, and works on them to determine their value. In some cases, the SEI works to overcome the limitations that prevent a solution from being of general use in the software community. Finally, the SEI moves mature solutions of proven value into widespread use; examples include the Capability Maturity Model® for Software (SW‐CMM®), and a model curriculum for a master's degree program in software engineering that has been adopted by universties across the country. SEI activities are grouped into two principal areas: software engineering management practices and software engineering technical practices.

Software engineering education must be guided by developments in software engineering and aim for professional and educational development of students. This position paper explores the historical and conceptual evolution of software engineering as a discipline central to modern integrated design, software systems, and process science, tracing the trajectory from early structured models, through waterfall, to Agile and AI-augmented paradigms, and looks at how changes in application mix and modes of use, technological complexity, and business and enterprise needs have shaped development methodologies. Special attention is paid to the role of generative AI on the software engineering process and the role of the software engineer, altering workflows, collaboration, and enterprise architectures, and further enabling automation, digital transformation, and autonomous systems, shifting responsibilities and skill sets upwards. The article then considers corresponding shifts in software engineering education, highlighting the need for curricula that intertwine process thinking, systems theory, and ethical engagement, integrate with generative AI technologies, and place greater emphasis on “soft skills”, in courses that combine development of professional expertise with conceptual capabilities and an enhanced capacity for life-long learning. It then presents a set of requirements, options, and guidelines for software engineering education in the era of generative AI.

Software engineering environments have a history of about two decades. Early environments provided support for small fragments of the software process (usually focusing on programming-in-the small). Then there was a trend towards support for more complete software processes (from early phases like requirements analysis and design down to testing and configuration management). Ten years ago the notion of process-centered software engineering environments initiated a new field in software engineering: software process research. The key idea is to use a model of a software process as input parameter for a software engineering environment. The environment is supposed to “behave” in accordance to the process model. Some aspects of this vision became true, others turned out to be of little practicability. In this article, we discuss the history of software engineering environments with a particular focus on process-centered software engineering environments (PCSEEs). We discuss the notion of distributed software processes (as one of the most substantial current trends in software process research) and we motivate the notion of a software process middleware which serves as basis of real-world software processes spread over various sites. In addition, we discuss some other trends in the software process research arena.

Software Engineering is important for the students majored in computer science and technology. This curriculum is intended to provide students with an overall view over Software Engineering as an engineering discipline and with insight into the processes of software development. Creating software Engineering curriculum faces several challenges: (1) Software Engineering has wide coverage, but teaching time is limited. So it is difficult to make in-depth education. (2) Some introductory Software Engineering courses present the principles in isolation from practice. Teaching the lectures seems to focus on philosophy and methodology level, which leads to difficulty for students having no practical experience to understand. (3) Due to the lack of software project practice, students can hardly apply appropriate software engineering methods and technologies to solve problems. (4) How can Software Engineering curriculum satisfy the various needs of different levels? This paper focuses on the challenges above, and introduces how to try to solve them by a case study on the construction of Software Engineering curriculum at Peking University. Finally, this paper gives the future direction for the construction of Software Engineering curriculum.

The 9th international workshop on Semantic Web Enabled Software Engineering (SWESE) has been hold in conjunction with the 11th International Conference on Service Oriented Computing (ICSOC 2013) in Berlin, Germany. This workshop builds on prior events and have begun to explore and evaluate the potential of SemanticWeb technologies in software, system and service engineering. Semantic Web technologies provide understandablemodeling formalisms and tractable reasoning services with widely established tool support. In this workshop series, we are interested in applying Semantic Web technologies to support, improve and ease both the process and product of software and service development.

Expotecnología 2020 was an event that took place in the city of Cartagena de Indias, from November 4 to 6, 2020, with the slogan “Development of Engineering and Innovation in the scenarios of the 4th Industrial Revolution.” This eighteenth version was a meeting that brought together the scientific and academic community in spaces for the dissemination and transfer of knowledge, where innovation was the essence and a fundamental part of the event. Expotecnología was created in the Faculty of Engineering Sciences - FACI, of the Antonio de Arévalo University Foundation - UNITECNAR and in this version it maintained as mission, the development of the interaction between science, technology and society, through establishing of knowledge networks and academic and professional cooperation. The main objective was to address the challenges that emerge from the everyday life of the engineering community, the problems immersed in the development of projects and programs of Higher Education Institutions (IES), organizations and research centers at the national and international level. In the development of the day of presentations in a virtual way, it was possible to promote the dissemination of the research work of professionals, teachers and students from all areas of engineering, framed in four (4) thematic axes, as follows:• New technologies: Big data, Artificial Intelligence, Business Intelligence, Software Engineering, Education and new technologies and Mobile Applications.• Petrochemicals and process control: Materials Science, Instrumentation and Control Systems, Robotics and Automation and Industrial Maintenance.• Electricity, electronics and telecommunications: IoT, Fiber optics, Digital Signal Processing, Wireless Networks, Mobile Communications, Power Systems, Energy Storage, Smart Grids, Renewable Energies, Operation and Distribution, Energy Dispatch, Energy Markets• Construction Summit: Modern Building Systems and Computational Modeling.On this occasion, the event was attended by 483 people, representatives from 25 national and 12 international universities. 97 virtual presentations were made, of which 66 articles were selected for this volume of the IOP Conference Cycle: Materials Science and Engineering and 19 articles for the book Engineering, Innovation and the fourth industrial revolution., After a process of Peer Review. The plenary conferences were in charge of 2 national and 8 international speakers.List of Invited speakers, Organizing Committee, President, Technical committee, Scientific Committee, Special thanks are available in the pdf.