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software Testing in Ecuadorian University Education: A Debt to the software Industry 12th

Software Testing in Ecuadorian University Education: A Debt ...

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12th World conference on Information systems and Technologies (WorldCIST)

作者： Ceron, Belen Chicaiza, Alex Lamino, Johana Reyes Ch, Rolando P. Univ Politecn Madrid Campus Montegancedo Madrid Spain Univ Las Fuerzas Armadas ESPE Sangolqui 171103 Ecuador Univ Int La Rioja Madrid Spain

ISBN: (纸本)9783031602238;9783031602245

the software industry has evolved exponentially in the last 50 years, andwith it, software testing has become like a badge of software quality. However, during this evolution universities apparently have not kept pace with the changing and dynamic pace of the software industry. We have been motivated to carry out an exploratory study to analyze the current state of teaching software testing in careers related to computer Science in Ecuadorian universities. We use a survey as an empirical strategy with a representative population of students in the country. the results are interesting and indicate possible problems in the teaching and culture of use of software testing. Consequently, this deficiency in the correct application of software testing by students is taken to the professional field and therefore to a high-growth industry. It is concluded that software testing in Ecuadorian university education still has deficiencies, making this a debt to be fulfilled by the software industry in Ecuador.

关键词： software engineering software testing software development automated tools survey

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An IoT-Enabled Condition Monitoring Device: Integrating Vibration Analysis and Environmental Sensing 5

An IoT-Enabled Condition Monitoring Device: Integrating Vibr...

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5th International conference on Advanced Research in Computing, ICARC 2025

作者： Liyanage, Randeera Annasiwaththa, Buddhika Faculty of Engineering and Technology CINEC Campus Sri Lanka University of Ruhuna Faculty of Engineering Sri Lanka

ISBN: (纸本)9798331530983

Condition monitoring (CM) devices are crucial for predictive maintenance (PdM) across industries. Despite their commercial availability, the use of CM devices in small-to medium-scale industries remains low because of the cost of equipment and proprietary software systems. this research aims to overcome the challenge by developing an Internet of things (IoT) enabled, portable CM device capable of monitoring machine vibrations and ambient conditions. the proposed battery-powered device integrates a commonly available microcontroller unit (MCU) with rich communication interfaces in combination with affordable and accessible sensors. the acquired data are wirelessly transmitted to a host computer via the Message Queuing Telemetry Transport (MQTT) protocol. During testing, offline frequency domain analysis of the vibration data for a faulty bearing, namely Hilbert and Envelope Spectrum Analysis revealed fault frequencies corresponding to an outer race defect. Ambient data collected over 24 hours provided supplementary insights into environmental fluctuations critical to industrial operations. In an industrial setting, the CM device was successful in performing its two main tasks of monitoring ambient conditions and bearing vibrations. the device positions itself as a proof-of-concept for a scalable, networked CM system, where multiple interconnected nodes could simultaneously monitor a range of machinery or individual components within a facility. this demonstrates its potential for industries to delve into the world of PdM, replacing traditional preventive maintenance mechanisms. © 2025 IEEE.

关键词： Machine vibrations

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Novel Approach for Enhancing Mental Well-Being through Machine Learning Techniques 5

Novel Approach for Enhancing Mental Well-Being Through Machi...

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5th International conference on Advancements in Computing, ICAC 2023

作者： Roshani, O.V.D.E. Ayuwardhana, H.M.K.J.J. Rodrigo, P.H.M.S. Hewageegana, R.U. Fernando, Harinda De Silva, Dilshan I. Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350358131

Frequently, individuals undergo specific episodes of mental health challenges throughout their lifetime. But the COVID pandemic has triggered a surge in mental health disorders arising from isolation, monotonous routines, demanding workloads, financial disparities, and disruptions to daily schedules. Furthermore, the global pandemic has induced constant anxiety and stress. Beyond the pandemic, the competition and intense pressure of the modern world impact mental health. Access to advanced mental health solutions and the necessary familiarity remain limited for most of the population. Given the integration of technology into daily life, diverse remedies, including mobile and web applications, have emerged to tackle the escalating challenge of mental health disorders. this study proposes an accessible and cost-effective approach that employs machine learning to detect stress levels and discern user emotions from journal entries and facial expressions while integrating self-journaling, video recommendations, and visual content generation to stimulate positive emotions and relieve stress. © 2023 IEEE.

关键词： Cost effectiveness

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Database design of load spectrum calculation software for wheeled crane 5

Database design of load spectrum calculation software for wh...

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5th International conference on computer Information Science and Artificial Intelligence, CISAI 2022

作者： Zhu, Changjian Zhang, Xingchen Zhang, Zhengde Wang, Yuguo Chen, Ruwen Wu, Kang School of Automotive and Rail Transit Nanjing Institute of Technology Jiangsu China Xuzhou Heavy Machinery Co. Ltd. Jiangsu China

ISBN: (纸本)9781510662520

the software development of wheeled crane load spectrum calculation will involve a series of database design problems, especially the characteristics of many data table types, and large number of fields. Based on the above situation, a method of batch and fast database creation based on high-level programming language is proposed. Firstly, the requirement analysis and detailed design of the wheel crane load spectrum database are carried out, then the different database creation methods are analyzed and compared, the specific database creation algorithm flow is given, and finally the database creation software is developed in C++ language and a running example is given. the proposed database design method is efficient and labor-saving, and is conducive to the rapid construction of data tables for large number of fields in the crane load spectrum. © 2023 SPIE.

关键词： Database systems

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A Taxonomy of Self-Admitted Technical Debt in Deep Learning systems 40

A Taxonomy of Self-Admitted Technical Debt in Deep Learning ...

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40th International conference on software Maintenance and Evolution

作者： Pepe, Federica Zampetti, Fiorella Mastropaolo, Antonio Bavota, Gabriele Di Penta, Massimiliano Univ Sannio Benevento Italy William & Mary Williamsburg VA USA Univ Svizzera Italiana Software Inst Lugano Switzerland

ISBN: (纸本)9798350395693;9798350395686

the development of Machine Learning (ML)- and, more recently, of Deep Learning (DL)-intensive systems requires suitable choices, e.g., in terms of technology, algorithms, and hyper-parameters. Such choices depend on developers' experience, as well as on proper experimentation. Due to limited time availability, developers may adopt suboptimal, sometimes temporary choices, leading to a technical debt (TD) specifically related to the ML code. this paper empirically analyzes the presence of Self-Admitted Technical Debt (SATD) in DL systems. After selecting 100 open-source Python projects using popular DL frameworks, we identified SATD from their source comments and created a stratified sample of 443 SATD to analyze manually. We derived a taxonomy of DL-specific SATD through open coding, featuring seven categories and 41 leaves. the identified SATD categories pertain to different aspects of DL models, some of which are technological (e.g., due to hardware or libraries) and some related to suboptimal choices in the DL process, model usage, or configuration. Our findings indicate that DL-specific SATD differs from DL bugs found in previous studies, as it typically pertains to suboptimal solutions rather than functional (e.g., blocking) problems. Last but not least, we found that state-of-the-art static analysis tools do not help developers avoid such problems, and therefore, specific support is needed to cope with DL-specific SATD.

关键词： Technical Debt Deep Learning Open-Source

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An Empirical Evaluation of Design Smells and Code Smells Over Multiple Versions of software Evolution 5th

An Empirical Evaluation of Design Smells and Code Smells Ove...

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5th International conference on Computing, Communications, and Cyber Security, IC4S 2023

作者： Sharma, Kapil Chhabra, Jitender Kumar Computer Engineering Department National Institute of Technology Kurukshetra India

ISBN: (纸本)9789819725496

software code smells serve as indicators of potential flaws in code design. It signifies that the code has not been created while following the design principles. Code smells do not mean the software system is faulty, but their persistence may affect the code maintainability, readability, and modularity. In this study, code smell evolution has been identified on three publicly available open-source software systems, and it was observed how design smells and traditional code smells evolve in different versions of each software system. Detection of these anomalies is performed by publicly available source code analyzers PMD and DesigniteJava. DesigniteJava finds design smells based on violation of object-oriented principles like abstraction, encapsulation, modularization, and hierarchy. PMD finds the traditional code smells. Based on the analysis of code smells evolution over multiple versions of software in this study, the findings suggest that the abstraction design smells out of all design smells are abundant, out of which unutilized abstraction is the maximum, and God class code smells, which was most discussed in this domain, are also increasing in subsequent versions. Consequently, on the basis of this analysis, a decision will be made regarding whether code smells are increasing beyond a certain limit, which component of the system the designer ought to center their attention on and whether or not it ought to be taken into consideration for redesigning. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Modular construction

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Manufacturing In-House Information Technology Team Analysis Hybrid software Development Model 5th

Manufacturing In-House Information Technology Team Analysis ...

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5th International conference on computer and Communication Technologies, IC3T 2023

作者： Singh, Kamred Udham Kumar, Ankit Kumar, Gaurav Singh, Teekam Choudhury, Tanupriya Kotecha, Ketan School of Computing Graphic Era Hill University Dehradun India Department of Computer Engineering & Applications GLA University UP Mathura India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Lavale Campus Pune India Pune411045 India CSE Dept. Graphic Era Deemed to be University Uttarakhand Dehradun India

ISBN: (纸本)9789819997060

the information technology team working in the manufacturing industry may use this paper to learn about the results of the recently established hybrid software development model with the aid of this paper. the IT team's needs, difficulties, working practise, past working strategies, and the client's expectations in the manufacturing firm all play a role in determining how the hybrid model is implemented. the IT team was able to accomplish goals such as on-time delivery with quality improvement, more accuracy, reduced maintenance cycle, the involvement of clients, reduced development time, and improved defect removal efficiency by utilising a new model and adopting appropriate features from traditional and agile methodologies. this article presents a guideline on prior outcomes for the IT team at a manufacturing business and results after using a hybrid approach. the results of deploying a hybrid software development paradigm inside an in-house IT team that works in the manufacturing business are the subject of this research, which explores those results. this study intends to evaluate the effects of combining conventional and agile approaches for software development by thoroughly examining software development practises and determining how successful this combination is. the research investigates the subsequent enhancements in project delivery deadlines, product quality, and team cooperation. the findings provide light on the possible advantages and drawbacks of using a hybrid method. the results give organisations who are looking to optimise their software development processes in a manufacturing setting with useful insights that will eventually contribute to increased efficiency and competitiveness in the sector. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Efficiency

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Design of L-Shape Slot Loaded Rectangular Microstrip Patch Antenna for IoT/WLAN/WiMAX Applications 5th

Design of L-Shape Slot Loaded Rectangular Microstrip Patch A...

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5th International conference on Trends in Computational and Cognitive engineering, TCCE 2023

作者： Verma, Ramesh Kumar Kumar, Akhilesh Pattanayak, Prabina Chauhan, Puspraj Singh Bali, Vikram Mathur, Sonali Department of Computer Science and Engineering IMS Engineering College Uttar Pradesh Ghaziabad India Department of Electronics and Communication Engineering National Institute of Technology Silchar Assam India Department of Electronics and Communication Engineering Pranveer Singh Institute of Technology Uttar Pradesh Kanpur India

ISBN: (纸本)9789819719228

In this work, a rectangular shape microstrip patch antenna of single band resonating at frequency 2.50 GHz has been designed by loading two L-shape slots. the proposed antenna of single band shows impedance bandwidth of 574 MHz between frequency range 2.249–2.823 GHz. the proposed antenna resonates at frequency 2.50 GHz with return loss of −17.51 dB. However, the bandwidth of convention antenna is only 337 MHz. Hence, the bandwidth of proposed antenna (574 MHz) is increases 237 MHz compared to bandwidth of conventional antenna (337 MHz). the proposed antenna has VSWR, peak gain and efficiency 1.307, 3.08 dB and 98.2%, respectively, at frequency 2.50 GHz. Simulation and design is performed by using IE3D software with microstrip line feed of 50 Ω. the proposed antenna can be applicable for IoT/WLAN/WiMAX. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Bandwidth

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Using Deep Learning and Object-Oriented Metrics to Identify Critical Components in Object-Oriented systems 23

Using Deep Learning and Object-Oriented Metrics to Identify ...

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5th World Symposium on software engineering, WSSE 2023

作者： Tete, Akpedje Touré, Fadel Badri, Mourad Software Engineering Research laboratory Department of Mathematics and Computer Science University of Quebec Trois-RivièresQC Canada

ISBN: (纸本)9798400708053

this paper aims at studying the ability of deep machine learning to predict software faults based on object-oriented metrics. this research investigated software faults from the perspective of fault-proneness, faults number and faults frequency, and used data collected from several versions of a Java open-source software system. this study relied on Chidamber and Kemerer suite of metrics as proxy to capture various software characteristics. In this study, the deep learning regression and classification results were compared to linear and logistic regressions. Auto-Encoders (AE) and Principal Components Analysis (PCA) have been used to reduce redundant information from the dataset. To evaluate the prediction ability of the models, this research used the inter-version validation strategy. the results showed that the models can achieve a significant average performance up to 89%. © 2023 Copyright held by the owner/author(s).

关键词： Principal component analysis

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A Model Driven Approach for Web Service Composition 5

A Model Driven Approach for Web Service Composition

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5th Edition of the International conference on Advanced Aspects of software engineering, ICAASE 2022

作者： Toubal, El Bahi Belkhir, Abdelkader Kheldoun, Ahmed Rahim, Messaoud University of Medea Laboratory of Advanced Electronic Systems Medea Algeria University of Medea Faculty of Sciences Medea Algeria Usthb University of Science and Technology Laboratory of Computer Systems Algiers Algeria Usthb Movep Computer Science Department Algiers Algeria

ISBN: (数字)9781665492027

ISBN: (纸本)9781665492027

We propose a model driven approach for web services composition, a way allowing specifying web services and their composition at a high level of abstraction and generating the implementation of such composition. Web services are described by WSDL (Web Service Description Language), and then translated into high-level models, which can be composed according to a composition scheme. the MDA (Model Driven Architecture) is used to support our approach for generating BPEL code and WSDL Description from the high-level web service models. A case study highlights the benefits of our proposal and illustrates the automatic generation of web services composition. © 2022 IEEE.

关键词： Web services

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