Software Engineering Applications Research Articles

Investigations on visualization and interaction of ship structure multidisciplinary finite element analysis data for virtual environment

Although the extraction and sharing of important data in the finite element model (FEM) and analysis data is particularly significant in the ship structure collaborative design process, the efficiency of sharing finite element analysis (FEA) data using a standardized neutral format is still relatively low, which is attributed to the format that has to accommodate various data types generated by different commercial computer aided engineering (CAE) software and multidisciplinary analysis applications. Aiming to solve the problem of efficient visualization and sharing of heterogeneous FEA data in ship structure collaborative design and review, we proposed a new FEA data visualization framework for virtual environments (VE) to realize multidisciplinary data sharing in the collaborative design process, where only essential finite element (FE) information is stored to reduce the weight of the model and analysis data. In addition, the visualizing results can be updated in response to the modification of the model geometry and simulation variables. Furthermore, we implemented a general system based on our data framework. To maximize the efficiency of managing multidisciplinary data (statics, dynamics, ultimate strength), the system adopts a client/server (C/S) architecture and hierarchical management of data structures. The virtual visualization of these complex FEA data effectively enhances the efficiency of scientific communication, model evaluation and validation, and interdisciplinary discussion of research findings. Eventually, examples from commercial CAE software are provided to demonstrate the effectiveness and versatility of the system.

Digital medicine: expectations and prospects

The purpose of the research is to systematize the problems of the branch, formulate goals and objectives, search for methods and software and organizational solutions for digital medicine. Applied systems analysis, software engineering and artificial intelligence methods are used as research methods. The result of the research is the digital platform “Health History”, an organizational and technical system, which is a working prototype of a system solution for the reorganization of processes. The conclusion is postulated about the need for fundamental organizational changes in medicine based on information technologies, which is the essence of the digital transformation of healthcare.

A survey of deep learning based text-to-SQL generation

Text-to-SQL is an important application of automation software engineering. It is also a research hotspot in the field of semantic parsing. The text-to-SQL task aims to automatically generate the SQL statement according to the natural language description. It allows nonprofessionals to access the database without understanding SQL syntax. With the development of large-scale text-to-SQL datasets and artificial intelligence technologies, the text-to-SQL task is also making great progress. Compared with the traditional text-to-SQL generation, the deep learning-based text-to-SQL has the advantages of high accuracy, flexibility, and iterative learning. In recent years, several studies have focused on SQL generation based on deep learning. This research summarizes existing works from the aspects of text-to-SQL scenarios, datasets, model structures, and evaluation methods.

An interview with Xin Xia - 2022 SIGSOFT Awardee

Xin Xia received the 2022 SIGSOFT Early Career Researcher Award for his contributions to AI and SE, mining software repositories, and empirical software engineering. He is the Director of the Software Engineering Application Technology Lab at Huawei, China. He received the Ph.D. degree in Computer Science in 2014 from the College of Computer Science and Technology (Zhejiang University, China), and - prior to joining Huawei - he was an ARC DECRA Fellow and a lecturer at the Faculty of Information Technology, Monash University, Australia.

A non-invasive heart rate and blood pressure monitoring system using piezoelectric and photoplethysmographic sensors

In this work, a non-invasive heart rate (HR) and blood pressure (BP) monitoring system using a lead zirconate titanate (PZT) piezoelectric and photoplethysmographic (PPG) sensor has, preliminarily, been investigated. A modified pulse transit time (MPTT) is applied to demodulate HR, systolic blood pressure (SBP), and diastolic blood pressure (DBP) from obtained BP waveforms. In addition, an engineering application software written by LabView programming is, also, developed for dynamic signal monitoring and processing of desired parameters. Consequently, HR and BP measurements on 15 volunteers are performed and validated against a reference digital sphygmomanometer. The results show equivalent HR from both sensors with a mean absolute difference (MAD) of 1.78 beats per minute. Meanwhile, MADs of SBP and DBP measurements are 2.62 and 1.36 mmHg, complying with AAMI-BHS accuracy of “Grade A”, respectively. Therefore, PZT and PPG-based monitoring system could lead to development of accurate, non-invasive, and low-cost HR and BP devices.

Crowdsourcing Platform for Website and Application Testing

Crowdourcing has gained or achieved a great deal or path of interest in the operation or usage or exercise during the last years of the professional generation. Many teams have done a lot of procedures and tasks in this regard to appear to be a special obligation and income-generating games. However, regardless of its reputation and its use in this generation of security technologies and the best consumer interface and value, there may be well-informed information compared to crowdsourcing, especially with reference to crowdsourcing consultants or activities or courses. Crowdsourcing coordinators or course studies play an important role in multi-person projects or processes or activities as they ensure the relationships or cooperation established between crowdsourcing groups and the gang. However, the current problem or situation of crowdsourcing mediators or courses that misleads crowdsourcing projects and their functionality and the corresponding contexts they need are no longer addressed in the course of studies. We deal with or address those issues in a way that addresses a well-known case with an average person called TestCloud which has helped us to get to the top of the platform providing software experiments or software engineering. the stadium or donations of teams that progress slowly or completely without their efforts or sending sports and programs to a good crowd. Criticism shows that the testing of the said service Cloud meets the 3 most required conditions if you want to improve or enhance its use and, these are: process management, team management and collaboration with technology. In every size, we explain or highlight many of the methods or processes that this app uses to get through the difficult situations or problems related to the collection activities that need to be done properly at the same time. The term 'crowdsourcing' was changed to be added or introduced in 2006 to describe a problem-solving model distributed by remote internet users. Since then it has been extensively studied and practiced to assist software program engineering and objective software applications. In this course we provide a comprehensive or specific survey of the use and importance of crowdsourcing on the software engineering program and software program you are trying, we aim to cover all the books and topics that may be relevant to this topic. We first assess and attempt to find definitions and application functions, crowdsourcing performance and to define and define our Crowdsourcing Software Engineering ideas together in terms of their value or application. Then we summarize or integrate the many required features within the commercial fitness regions in software system engineering and related case research. Similarly we explore software programming engineering or experimenting with domains, obligations and programs, functions, crowdsourced operations and systems and stakeholders involved in knowing Crowdsourced Software Engineering solutions. We are concluding or would like to really focus on the process of developing styles, open-ended problems and opportunities for conclusion lessons in Crowdsourced Software Engineering or Software Testing. We may also want to show or demonstrate that statistics released from the crowd are primarily based entirely on experiments that can adhere to multiple regions or activities associated with an automated web site or experimental cell. We would really like to integrate the creation of POLARIS, which produces repetitive views of texts from the crowd — primarily based entirely on experiments, rendering the events 'motif' of a different application: a series of high-level automated easy-to-use integrated low-stage action actions. Our strong focus is on the mobilization staff deployed from Mechanical Turk to fulfill 1,350 test commitments in nine popular Google Play apps, each with at least 1 million customer subscriptions.

Text Mining in Education—A Bibliometrics-Based Systematic Review

Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other fields, education research has also been adopting different analytical approaches to advance the state of education systems. Moreover, developments in software engineering and web-based applications have made collection of education data possible at large scales. This systematic review aims to explore the 21st century’s state of the art applications of text mining methods used in the field of education. We analyse the metadata of all publications that use text mining or natural language processing in educational settings to report on the key themes of application of text mining methods in educational studies providing an overview of the current state of the art and the future directions for research and applications.

The Implementation of the Simple Multi Attribute Rating Technique Method for Evaluating the Guidance Process for the Final Project of the Applied Software Engineering Technology Students

Simple Multi Attribute Rating Technique (SMART) is a method that is able to solve problems with multi criteria. In the evaluation of the final project guidance process students of applied software engineering technology are intended to identify supporting factors as well as obstacles for students in completing the final project. Used several criteria such as liveliness of guidance, guidance response, how to communicate, mastery of materials, problem solving and report writing. The problem in determining the cause of the hampered completion of the final project is the lack of tools that can help in processing the criteria data. The solution is to utilize the SMART method with multi criteria problem solving as a tool in decision making. With the utilization of this method is expected to provide solutions in evaluating the guidance process so that the results can be accepted by all students objectively. With the decision support system model, it is expected to be able to know the problem factor in completing the final project so as to help in the implementation of the final project in the next period.

The Implementation of the Simple Multi Attribute Rating Technique Method for Evaluating the Guidance Process for the Final Project of the Applied Software Engineering Technology Students

Simple Multi Attribute Rating Technique (SMART) is a method that is able to solve problems with multi criteria. In the evaluation of the final project guidance process students of applied software engineering technology are intended to identify supporting factors as well as obstacles for students in completing the final project. Used several criteria such as liveliness of guidance, guidance response, how to communicate, mastery of materials, problem solving and report writing. The problem in determining the cause of the hampered completion of the final project is the lack of tools that can help in processing the criteria data. The solution is to utilize the SMART method with multi criteria problem solving as a tool in decision making. With the utilization of this method is expected to provide solutions in evaluating the guidance process so that the results can be accepted by all students objectively. With the decision support system model, it is expected to be able to know the problem factor in completing the final project so as to help in the implementation of the final project in the next period.

Finding More Property Violations in Model Checking via the Restart Policy

Model checking is an efficient formal verification technique that has been applied to a wide spectrum of applications in software engineering. Popular model checking algorithms include Bounded Model Checking (BMC) and Incremental Construction of Inductive Clauses for Indubitable Correctness/Property Directed Reachability(IC3/PDR). The recently proposed Complementary Approximate Reachability (CAR) model checking algorithm has a performance close to BMC in bug-finding, while its depth-first strategy sometimes leads the algorithm to a trap, which will waste lots of computation. In this paper, we enhance the recently proposed Complementary Approximate Reachability (CAR) model checking algorithm by integrating the restart policy, which yields a restartable CAR model (abbreviated as r-CAR). The restart policy can help avoid the trap problem caused by the depth-first strategy and has played an important role in modern SAT-solving algorithms to search for a satisfactory solution. As the bug-finding in model checking is reducible to a similar search problem, the restart policy can be useful to enhance the bug-finding capability. We made an extensive experiment to evaluate the new algorithm. Our results show that out of the 749 industrial instances, r-CAR is able to find 13 instances that the state-of-the-art BMC technique cannot find and can solve more than 11 instances than the original CAR. The new algorithm successfully contributes to the current model-checking portfolio in practice.

Application of energy and resource engineering software in cotton fields

This article is devoted to the mechanization of agriculture and is aimed to achieve resource savings through the effective use of machinery and technology in lightening the burden on farmers in field farming. Rainfall or irrigation water tends to melt down the weak bonds between these soils particles and allow those individual particles to lodge closer together. Then, when the soil dries, those same particles form a tight bond that creates a soil crust. We have developed tools for breaking up the soil crust. The structure of the new device will consist of the following. A metal profile with a total length of 3.5 meters (1), 4 handles (2) are welded, one (3) working body is mounted on each handle. This means that when each working body processes cotton seedlings sprouted from one row, it is possible to further increase the number of rows with a total processing capacity of up to 5 rows. We determine the width of the unit depending on the power of the tractor and diameter of the toes. Tractors with 80-100 horsepower can handle up to 8 rows Therefore, on the basis of the above data, it can be said that the diameter of the toes should be in the range of 200-250 mm for quality softening of the layer at the required level with minimal damage to cotton seedlings.

A Systematic Analysis of Regression Test Case Selection: A Multi-Criteria-Based Approach

In applied software engineering, the algorithms for selecting the appropriate test cases are used to perform regression testing. The key objective of this activity is to make sure that modification in the system under test (SUT) has no impact on the overall functioning of the updated software. It is concluded from the literature that the efficacy of the test case selection solely depends on the following metrics, namely, the execution cost of the test case, the lines of the code covered in unit time also known as the code coverage, the ability to capture the potential faults, and the code modifications. Furthermore, it is also observed that the approaches for the regression testing developed so far generated results by focusing on one or two parameters. In this paper, our key objectives are twofold: one is to explore the importance of the role of each metric in detail. The secondary objective is to study the combined effect of these metrics in test case selection task that is capable of achieving more than one objective. In this paper, a detailed and comprehensive review of the work related to regression testing is provided in a very distinct and principled way. This survey will be useful for the researchers contributing to the field of regression testing. It is noteworthy that our systematic literature review (SLR) included the noteworthy work published from 2007 to 2020. Our study observed that about 52 relevant studies focused on all of the four metrics to perform their respective tasks. The results also revealed that about 30% of the different categories of regression test case reported the results using metaheuristic regression test selection (RTS). Similarly, about 31% of the literature reported results using the generic regression test case selection techniques. Most of the researchers focus on the datasets, namely, Software-Artefact Infrastructure Repository (SIR), JodaTime, TreeDataStructure, and Apache Software Foundation. For validation purpose, following parameters were focused, namely, the inclusiveness, precision, recall, and retest-all.

Research on the Development and Application of Uml Modeling Technology Based on Software Engineering

Modern life style can be said to have been built on big data and computer science, is a new way of life, completely different from the past mechanical and electrical era of life. Among them, the application of software engineering has become an indispensable part in various fields, and the diversified development of its development technology is also an important reason for the popularization of computers. In this paper, computer software development technology under the background of big data is analyzed, and the importance and necessity of computer software development is discussed.

Sustainable Project-Based Learning Methodology Adaptable to Technological Advances for Web Programming

The fast pace of development of the Internet and the Coronavirus Disease (COVID-19) pandemic have considerably impacted the educative sector, encouraging the constant transformation of the teaching/learning strategies and more in technological areas as Educational Software Engineering. Web programming, a fundamental topic in Software Engineering and Cloud-based applications, deals with various critical challenges in education, such as learning continuous emerging technological tools, plagiarism detection, generating innovative learning environments, among others. Continual change and even more change with the current digitization becomes a challenge for teachers and students who cannot depend on traditional educational methods. The article presents a sustainable teaching/learning methodology for web programming courses in Engineering Education using project-based learning adaptable to the continuous web technological advances. The methodology has been developed and improved during 9 years, 15 groups, and 3 different universities. Our results demonstrate that the methodology is adaptable with new technologies that might arise; it also presents the advantages of avoiding plagiarism in students and a personalized induction for every specific student in the learning process.

Software Quality Prediction Method Using Fuzzy Logic

: Software Quality is the key priority of today’s marketplace and software development organization to which a system, technique, or factor meets particular requirements and conditions. Soft computing techniques play a vital role in developing software engineering applications. In this paper, we have identified five parameters: Reliability, Efficiency, Usability, Maintainability, and Portability for accessing the level of quality of software. A fuzzy logic-based intelligent identification methodology has been proposed to access the quality of particular software-based on five parameters. The proposed identification scheme takes these five parameters as input and predicts the quality of the software using the fuzzy rule base which is generated using various studies. As this scheme takes five inputs and each input is divided into three regions i.e. ‘Low’, ‘Medium’, ‘High’ and thus a total of 35 i.e. 243 rules has been generated to analyze the software quality. Furthermore, Mamdani fuzzy model has been used as the reference model. To show the effectiveness of the proposed methodology, simulation results have been performed in MATLAB, which shows that the software's quality closely matches with the actual one.

Software Engineering Applications Enabled by Blockchain Technology: A Systematic Mapping Study

The novel, yet disruptive blockchain technology has witnessed growing attention, due to its intrinsic potential. Besides the conventional domains that benefit from such potential, such as finance, supply chain and healthcare, blockchain use cases in software engineering have emerged recently. In this study, we aim to contribute to the body of knowledge of blockchain-oriented software engineering by providing an adequate overview of the software engineering applications enabled by blockchain technology. To do so, we carried out a systematic mapping study and identified 22 primary studies. Then, we extracted data within the research type, research topic and contribution type facets. Findings suggest an increasing trend of studies since 2018. Additionally, findings reveal the potential of using blockchain technologies as an alternative to centralized systems, such as GitHub, Travis CI, and cloud-based package managers, and also to establish trust between parties in collaborative software development. We also found out that smart contracts can enable the automation of a variety of software engineering activities that usually require human reasoning, such as the acceptance phase, payments to software engineers, and compliance adherence. In spite of the fact that the field is not yet mature, we believe that this systematic mapping study provides a holistic overview that may benefit researchers interested in bringing blockchain to the software industry, and practitioners willing to understand how blockchain can transform the software development industry.

Application of CNC machine router 3-Axis for making of Engravired granite or marble

The development of a Computer Numerical Controller (CNC) machine specifically for the manufacture of creative product crafts needs to be encouraged to improve the variety and quality of the products. Manual engraving of natural stone (marble, granite) by relying on the skills of people and simple equipment will produce a product with a long time of processing. Competition in the business and industrial world is needed to increase effectiveness and efficiency with short manufacturing time indicators, low prices, more and more interesting design variations. The research objective is to find effective and efficient machining parameters, analyze factors that influence surface roughness, and enrich the variety of creative product designs of marble stone materials. This study uses an experimental method approach which is a study to find the effect of spindle rotation variables, infeed speed, infeed depth on the quality of surface roughness by operating the CNC Machine Router 3-Axis. It was found that the following parameters of the machine are cutting speed machining 30 (m / min), spindle rotation 12000 (rpm), and speed / feed rate 2000 (mm / min). Analysis of factors that influence the surface roughness of marble engraver the higher the speed / rate of infeed and the depth of infeed, the higher the surface roughness value of marble. Computer and engineering software applications are able to increase the variety of creative product designs.

A Review on Graph Theory in Network and Artificial Intelligence

The Mathematics field assumes crucial function in different fields. One of the significant territories in Mathematics is Graph theory which isutilized in basic models. We give a study of Graph theory utilized in computer sciences. The study comprises of a portrayal of specific themes from the Graph theory of the zone of Computer science where they are utilized. In any case, for each portrayed hypothesis we show the fields where it is utilized. For example in demonstrating and looking through Internet, in Computer science vision, design acknowledgment, information mining, multiprocessor frameworks, factual information bases, and in a few different regions. This paper gives a overview of the application of Graph theory in heterogeneous fields somewhat however chiefly centers around the software engineering applications that utilizations Graph theory ideas. Computer Science and Artificial Intelligence applications and an overview has been presented in this article.

Knowledge Intensive Software Engineering Applications

The use of Information and Communication Technologies (ICTs)  has become a competitive strategy that allows organizations to position themselves within their market of action. In addition, the evolution, advancement and use of ICTs within any type of organization have created new domains of interest. In this context, Knowledge-intensive software engineering applications are becoming crucial in organizations to support their performance. Knowledge-based technologies provide a consistent and reliable basis to face the challenges for organization, manipulation and visualization of the data and knowledge, playing a crucial role as the technological basis of the development of a large number of information systems. In software engineering, it involves the integration of various knowledge sources that are in constant change. Knowledge-intensive software applications are becoming more significant because the domains of many software applications are inherently knowledge-intensive and this knowledge is often not explicitly dealt with in software development. This impedes maintenance and reuse. Moreover, it is generally known that developing software requires expertise and experience, which are currently also implicit and could be made more tangible and reusable using knowledge-based or related techniques. Furthermore, organizations have recognized that the software engineering applications are an optimal way for providing solutions, because it is a file that is constantly evolving due to the new challenges. Examples of approaches that are directly related to this tendency are data analysis, software architectures, knowledge engineering, ontologies, conceptual modelling, domain analysis and domain engineering, business rules, workflow management, human and cultural factors, to mention but a few. Therefore, tools and techniques are necessary to capture and process knowledge in order to facilitate subsequent development efforts, especially in the domain of software engineering.  

Communication architecture based on IoT technology to control and monitor pets feeding

Technology is currently a significant benchmark in any application area; science and technology have permitted the invention of tools and devices that simplify daily activities by developing software engineering applications that provide automated solutions. In this sense, this work proposes two architectures that allow communication between the electronic device and the mobile application remotely, using the GSM/GPRS communication services and the Twitter social network. This development aims to control dogs' feeding adequately and healthily, providing the ration of food a dog needs according to the daily energy requirements. A nutritional assessment has also been performed considering different factors such as the size, breed, and weight of the dog to calculate the daily ration of healthy and balanced food according to daily energy requirements. Essentially, the electronic device consists of two parts: on the one hand, the electronic design is formed with an Arduino board, a Sim900 module to send and receive text messages, and the ESP8266 Wi-Fi serial transceiver module, which allows establishing the internet connection to receive the tweet that users post, both modules permit remote communication with the device using the Arduino board. On the other hand, the mobile application developed on Android uses a standard design according to the Google material design guidelines, allowing the owner to feed, schedule the feeding, review the dog's food history, and receive alerts when the food is going to be finished.