Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00018
A. Abduljabbar, Nikhil Gupta, L. Healy, Y. Kumar, J. J. Li, Patricia Morreale
Recommender systems are a part of our everyday life. We are accustomed to see suggestions of what videos to watch, what products to buy, what apps to install, and what food to eat. We assume that these personalized suggestions are accurate because they are based on our personal profile, saved history, location, physical and online activities, and other factors. In this paper, we present an innovative application of a recommender system. We created a self-served AI tutor with recommender technologies that encourages a Growth Mindset when teaching Computer Science to a broader and inclusive audience. The AI tutor uses our in-house AI/ML algorithms to detect and provide constructive, encouraging feedback to facilitate Growth Mindset in students, which in turn yields positive learning outcomes in said students. We trained our app to detect Growth Mindset utilization in Computer Science teaching, through evaluating the Growth Mindset presence in text, audio/video recordings and live speeches. The app was also trained to generate recommendations for improving Computer Science teaching in terms of Growth Mindset. The promotion and widely adaptation of our AI tutor through a free online platform will help Computer Science teachers globally.
{"title":"A Self-Served AI Tutor for Growth Mindset Teaching","authors":"A. Abduljabbar, Nikhil Gupta, L. Healy, Y. Kumar, J. J. Li, Patricia Morreale","doi":"10.1109/ICICT55905.2022.00018","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00018","url":null,"abstract":"Recommender systems are a part of our everyday life. We are accustomed to see suggestions of what videos to watch, what products to buy, what apps to install, and what food to eat. We assume that these personalized suggestions are accurate because they are based on our personal profile, saved history, location, physical and online activities, and other factors. In this paper, we present an innovative application of a recommender system. We created a self-served AI tutor with recommender technologies that encourages a Growth Mindset when teaching Computer Science to a broader and inclusive audience. The AI tutor uses our in-house AI/ML algorithms to detect and provide constructive, encouraging feedback to facilitate Growth Mindset in students, which in turn yields positive learning outcomes in said students. We trained our app to detect Growth Mindset utilization in Computer Science teaching, through evaluating the Growth Mindset presence in text, audio/video recordings and live speeches. The app was also trained to generate recommendations for improving Computer Science teaching in terms of Growth Mindset. The promotion and widely adaptation of our AI tutor through a free online platform will help Computer Science teachers globally.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133915680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00030
Yohannes Biadgligne, K. Smaïli
The present paper investigates the effect of corpus augmentation on the quality of English-Amharic Machine Translation (MT) with the goal of improving translation quality of Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) models for the language pairs. Actually, for the sake of this investigation tri-gram and four-gram SMT language models, as well as NMT models based on Gated Recurrent Units (GRU) and Recurrent Neural Network (RNN) models with attention mechanism were created. To observe how the corpus augmentation affects the translation quality of these models; we trained them separately by using our original corpus and the augmented one. These corpora (original and augmented) contain 225,304 and 450,608 English-Amharic parallel sentences, respectively. To complete the corpus augmentation challenge, an offline token level tokenization technique was used. This technique was used before any other MT processes were started. Among several token-level tokenization mechanisms, random insertion, replacement, deletion, and swapping approaches were chosen and implemented. After the models had been trained, the Bilingual Evaluation Understudy (BLEU) scores were collected and analyzed. The results demonstrate that the models trained with the augmented corpus outperform their corresponding models (models trained with the original corpus) in terms of BLEU scores. So, from this we can conclude that corpus augmentation did indeed help in the improvement of the performance of both SMT and NMT translation systems.
{"title":"Offline Corpus Augmentation for English-Amharic Machine Translation","authors":"Yohannes Biadgligne, K. Smaïli","doi":"10.1109/ICICT55905.2022.00030","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00030","url":null,"abstract":"The present paper investigates the effect of corpus augmentation on the quality of English-Amharic Machine Translation (MT) with the goal of improving translation quality of Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) models for the language pairs. Actually, for the sake of this investigation tri-gram and four-gram SMT language models, as well as NMT models based on Gated Recurrent Units (GRU) and Recurrent Neural Network (RNN) models with attention mechanism were created. To observe how the corpus augmentation affects the translation quality of these models; we trained them separately by using our original corpus and the augmented one. These corpora (original and augmented) contain 225,304 and 450,608 English-Amharic parallel sentences, respectively. To complete the corpus augmentation challenge, an offline token level tokenization technique was used. This technique was used before any other MT processes were started. Among several token-level tokenization mechanisms, random insertion, replacement, deletion, and swapping approaches were chosen and implemented. After the models had been trained, the Bilingual Evaluation Understudy (BLEU) scores were collected and analyzed. The results demonstrate that the models trained with the augmented corpus outperform their corresponding models (models trained with the original corpus) in terms of BLEU scores. So, from this we can conclude that corpus augmentation did indeed help in the improvement of the performance of both SMT and NMT translation systems.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121090934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00037
Kazumi Nishikawa, H. Kawano, Rin Hirakawa, Y. Nakatoh
In previous research of dementia discrimination by voice, the discrimination method using multiple acoustic features by machine learning has been proposed. However, they do not focus on speech analysis in patients with mild dementia. We analyzed the prosodic features and Formant of vowels that have not yet been analyzed. As a result of the t-test, it was confirmed that the value of Jitter and HNR tended to be high, and the parameters of F0 and Shimmer tended to be low. In addition, machine learning discrimination revealed an F-score of 0.621 (SVM), suggesting that prosodic features and formant alone are insufficient.
{"title":"Analysis of Prosodic Features and Formant of Dementia Speech for Machine Learning","authors":"Kazumi Nishikawa, H. Kawano, Rin Hirakawa, Y. Nakatoh","doi":"10.1109/ICICT55905.2022.00037","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00037","url":null,"abstract":"In previous research of dementia discrimination by voice, the discrimination method using multiple acoustic features by machine learning has been proposed. However, they do not focus on speech analysis in patients with mild dementia. We analyzed the prosodic features and Formant of vowels that have not yet been analyzed. As a result of the t-test, it was confirmed that the value of Jitter and HNR tended to be high, and the parameters of F0 and Shimmer tended to be low. In addition, machine learning discrimination revealed an F-score of 0.621 (SVM), suggesting that prosodic features and formant alone are insufficient.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00022
J. Weymouth, R. Karne, A. Wijesinha, Dheeraj N. Naraharisetti
Research in Bare Machine Computing has experienced significant changes over the years. As a result of the recent events of the pandemic and the need for remote learning, the Bare Machine Internet (BMI) as part of the Bare Machine Computing (BMC) paradigm experienced further studies. This research created tools to examine the internals of the protocols, memory, and scripts as a BMI became feasible. With the increased visualization in teaching Computer Science and remote learning, these features created with the BMI were considered efficacious in Computer Science Education (CSE) BMC/BMI is used in programming applications to run directly on a device. The paradigm is software that runs directly against the hardware using CPU, Memory, and I/O. The software application runs without an Operating System and resident mass storage. An essential part of the BMC paradigm is the Bare Machine Internet. It utilizes an Application Development model software that interfaces directly with the network and file servers' hardware. Because it is “bare,” it is a powerful teaching and research tool that can readily display the internals of the network protocols, software, and hardware of the applications running on the Bare Server. The research demonstrated that the bare server was accessible by laptop and smartphone/android. The purpose was to show the further practicality of Bare Internet in Computer Engineering and Computer Science Education and Research. It also showed that an undergraduate student could use a bare server with any device and browser at any release version connected to the internet. This paper presents the Bare Web Server as an educational tool. We will discuss possible applications of this paradigm.
{"title":"A Bare Machine Tool to Learn System Internals in Computer Science Education","authors":"J. Weymouth, R. Karne, A. Wijesinha, Dheeraj N. Naraharisetti","doi":"10.1109/ICICT55905.2022.00022","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00022","url":null,"abstract":"Research in Bare Machine Computing has experienced significant changes over the years. As a result of the recent events of the pandemic and the need for remote learning, the Bare Machine Internet (BMI) as part of the Bare Machine Computing (BMC) paradigm experienced further studies. This research created tools to examine the internals of the protocols, memory, and scripts as a BMI became feasible. With the increased visualization in teaching Computer Science and remote learning, these features created with the BMI were considered efficacious in Computer Science Education (CSE) BMC/BMI is used in programming applications to run directly on a device. The paradigm is software that runs directly against the hardware using CPU, Memory, and I/O. The software application runs without an Operating System and resident mass storage. An essential part of the BMC paradigm is the Bare Machine Internet. It utilizes an Application Development model software that interfaces directly with the network and file servers' hardware. Because it is “bare,” it is a powerful teaching and research tool that can readily display the internals of the network protocols, software, and hardware of the applications running on the Bare Server. The research demonstrated that the bare server was accessible by laptop and smartphone/android. The purpose was to show the further practicality of Bare Internet in Computer Engineering and Computer Science Education and Research. It also showed that an undergraduate student could use a bare server with any device and browser at any release version connected to the internet. This paper presents the Bare Web Server as an educational tool. We will discuss possible applications of this paradigm.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"43 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research seeks to determine the contribution of the STEAM (Science, Technology, Engineering, Arts and Mathematics) approach to the development of social competence in Regular Basic Education female teachers of Lima, Peru. The research is carried out using the qualitative approach and a case study. Use an interview guide, which is based on a validated instrument. The course proposed the construction of a video game with Scratch code. Due to this, it represented a proposal for mainstreaming the approach since its goal was to develop social competencies through interaction in a technological project. Likewise, it was sought to replicate the experience of students who enter a new environment and must break down psychological barriers and limiting beliefs. In conclusion, facilitators and participants agreed that the application of the STEAM approach favoured the development of social competence since it provided a safe space for constant interaction. The teachers were able to interact with each other and carry out meticulous teamwork.
{"title":"Application of the STEAM Approach for the Development of Social Competence in Regular Basic Education Female Teachers of Lima, Peru","authors":"Turriate-Guzmán Adriana Margarita, Gonzales-Medina Melissa Andrea, Cornejo-Carbajal Cecilia","doi":"10.1109/ICICT55905.2022.00042","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00042","url":null,"abstract":"This research seeks to determine the contribution of the STEAM (Science, Technology, Engineering, Arts and Mathematics) approach to the development of social competence in Regular Basic Education female teachers of Lima, Peru. The research is carried out using the qualitative approach and a case study. Use an interview guide, which is based on a validated instrument. The course proposed the construction of a video game with Scratch code. Due to this, it represented a proposal for mainstreaming the approach since its goal was to develop social competencies through interaction in a technological project. Likewise, it was sought to replicate the experience of students who enter a new environment and must break down psychological barriers and limiting beliefs. In conclusion, facilitators and participants agreed that the application of the STEAM approach favoured the development of social competence since it provided a safe space for constant interaction. The teachers were able to interact with each other and carry out meticulous teamwork.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00021
Daniel Eckertz, H. Anacker, R. Dumitrescu
The innovative technology Augmented Reality (AR) provides enormous potentials for companies. But due to the high technological complexity and the lack of expertise and experience in companies, the potentials are only rarely exploited. One major challenge for companies is the demand-oriented configuration of the AR system for a specific application scenario. This includes the selection of a suitable AR device and the specification of the AR application software. Relevant knowledge is only implicitly available in a variety of individual distributed sources. Companies therefore heavily rely on technology providers or experts when using AR. This work presents a novel knowledge-based approach to support companies in the individual AR system configuration. Based on a digital knowledge base an interactive configuration tool is developed. The tool enables the targeted selection of a suitable AR device and required AR software functionalities for a custom application scenario considering individual circumstantial conditions and requirements. It thereby empowers companies to configure AR systems independently and without prior expertise, facilitating the exploitation of the potentials of AR.
{"title":"Knowledge-based Interactive Configuration Tool for Industrial Augmented Reality Systems","authors":"Daniel Eckertz, H. Anacker, R. Dumitrescu","doi":"10.1109/ICICT55905.2022.00021","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00021","url":null,"abstract":"The innovative technology Augmented Reality (AR) provides enormous potentials for companies. But due to the high technological complexity and the lack of expertise and experience in companies, the potentials are only rarely exploited. One major challenge for companies is the demand-oriented configuration of the AR system for a specific application scenario. This includes the selection of a suitable AR device and the specification of the AR application software. Relevant knowledge is only implicitly available in a variety of individual distributed sources. Companies therefore heavily rely on technology providers or experts when using AR. This work presents a novel knowledge-based approach to support companies in the individual AR system configuration. Based on a digital knowledge base an interactive configuration tool is developed. The tool enables the targeted selection of a suitable AR device and required AR software functionalities for a custom application scenario considering individual circumstantial conditions and requirements. It thereby empowers companies to configure AR systems independently and without prior expertise, facilitating the exploitation of the potentials of AR.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116082869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00043
Samaneh Nadali, Tsi Hao Yong, David Glover
Variable air volume (VAV) fault detection and diagnosis is essential for energy consumption and stable operation of the Air Handling Units (AHU). This article introduces the Advance Fuzzy Neural Network (AFNN) model for detecting and diagnosing of the VAV systems. As the initial step, fault id detected based on Fuzzy Logic (FL) method, then the type of the faults is identified based on Neural Network (NN) classification approach. Our proposed model is tested with simulated data. It also tested on six different VAV systems from two levels of the Land Custody and Development (LCDA) building in Sarawak, Malaysia. The results show that proposed AFNN model can detect more faults and accurately classify faults from different size of VAV systems.
{"title":"Advance Fuzzy Neural Network for the Detection and Diagnosis of Faults in the VAV Systems","authors":"Samaneh Nadali, Tsi Hao Yong, David Glover","doi":"10.1109/ICICT55905.2022.00043","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00043","url":null,"abstract":"Variable air volume (VAV) fault detection and diagnosis is essential for energy consumption and stable operation of the Air Handling Units (AHU). This article introduces the Advance Fuzzy Neural Network (AFNN) model for detecting and diagnosing of the VAV systems. As the initial step, fault id detected based on Fuzzy Logic (FL) method, then the type of the faults is identified based on Neural Network (NN) classification approach. Our proposed model is tested with simulated data. It also tested on six different VAV systems from two levels of the Land Custody and Development (LCDA) building in Sarawak, Malaysia. The results show that proposed AFNN model can detect more faults and accurately classify faults from different size of VAV systems.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"63 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120996242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00028
Sunjun Hwang, Jin Choi, Seohwan Yoo, Hayeon Park, Chang-Gun Lee
As a co-processor for data-parallel processing and graphics, the GPU plays an important role in recent platforms. GPU is regarded as an input/output device on the CPU-GPU heterogeneous board and generates a hardware interrupt to communicate with the CPU. Since the CPU delays the execution of the GPU workload to process such a hardware interrupt, the hardware interrupt is a factor that degrades the GPU performance. In this paper, we propose a method to improve the processing performance of GPU by separating the CPU core that handles hardware interrupts from the CPU core that handles GPU tasks in the CPU-GPU heterogeneous architecture. In addition, CPU contention was resolved by separating the CPU core that processes the CPU task from the GPU task.
{"title":"Hardware Interrupt and CPU Contention aware CPU/GPU Co-Scheduling on Multi-Cluster System","authors":"Sunjun Hwang, Jin Choi, Seohwan Yoo, Hayeon Park, Chang-Gun Lee","doi":"10.1109/ICICT55905.2022.00028","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00028","url":null,"abstract":"As a co-processor for data-parallel processing and graphics, the GPU plays an important role in recent platforms. GPU is regarded as an input/output device on the CPU-GPU heterogeneous board and generates a hardware interrupt to communicate with the CPU. Since the CPU delays the execution of the GPU workload to process such a hardware interrupt, the hardware interrupt is a factor that degrades the GPU performance. In this paper, we propose a method to improve the processing performance of GPU by separating the CPU core that handles hardware interrupts from the CPU core that handles GPU tasks in the CPU-GPU heterogeneous architecture. In addition, CPU contention was resolved by separating the CPU core that processes the CPU task from the GPU task.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117041321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00017
Albert John B. Labayan, Joanna Marie D.V Ordinario, Yvonne Erika R. Ramos, E. Blancaflor
The goal of this paper is to provide aid to the Center for Guidance and Counseling Office in a University, This project caters to some of the services offered by the Guidance and Counseling Offices, providing decision making aid for the counselor in accordance to current laws implied for Guidance Counseling, and because of the pandemic the development of this system will create a much better process of online counseling, so that the students could adjust on their academic and socio-emotional needs with the help of the proposed platform/application to solve one of the current dilemmas of online learning to provide guidance in developing successful and honorable members of the society, amidst the new normal setting.
{"title":"REACH: A Guidance and Counseling Support System","authors":"Albert John B. Labayan, Joanna Marie D.V Ordinario, Yvonne Erika R. Ramos, E. Blancaflor","doi":"10.1109/ICICT55905.2022.00017","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00017","url":null,"abstract":"The goal of this paper is to provide aid to the Center for Guidance and Counseling Office in a University, This project caters to some of the services offered by the Guidance and Counseling Offices, providing decision making aid for the counselor in accordance to current laws implied for Guidance Counseling, and because of the pandemic the development of this system will create a much better process of online counseling, so that the students could adjust on their academic and socio-emotional needs with the help of the proposed platform/application to solve one of the current dilemmas of online learning to provide guidance in developing successful and honorable members of the society, amidst the new normal setting.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122367556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1109/ICICT55905.2022.00048
Tonata Nakashololo, T. Iyamu
The increasing interest in Not Only Structured Query Language (NoSQL) database systems has pruned debates among technical and business personnel in many organisations, about its quality and value to their businesses. Also, existing work has been silent on how software engineers can gain more benefits from the diverse nature of NoSQL technologies, from software quality attributes perspective. Thus, the objectives of this study were to: (1) understand the factors that influence leveraging of software attributes to business activities; and (2) examine how software quality attributes can be leveraged with NoSQL database systems. In achieving the objectives, the qualitative methods were employed. The interpretivist approach was followed in the analysis of the data. Based on the analysis, seven factors were found to influences the quality attributes in the leveraging of the NoSQL database systems in organisations. Based on the interpretation of the findings, a leveraging model was proposed. The model is intended to provide a guide on how software quality attributes can be leveraged with NoSQL database systems in organisation. This includes to facilitate NoSQL technology selection.
{"title":"Leveraging Software Quality Attributes in NoSQL Database Systems","authors":"Tonata Nakashololo, T. Iyamu","doi":"10.1109/ICICT55905.2022.00048","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00048","url":null,"abstract":"The increasing interest in Not Only Structured Query Language (NoSQL) database systems has pruned debates among technical and business personnel in many organisations, about its quality and value to their businesses. Also, existing work has been silent on how software engineers can gain more benefits from the diverse nature of NoSQL technologies, from software quality attributes perspective. Thus, the objectives of this study were to: (1) understand the factors that influence leveraging of software attributes to business activities; and (2) examine how software quality attributes can be leveraged with NoSQL database systems. In achieving the objectives, the qualitative methods were employed. The interpretivist approach was followed in the analysis of the data. Based on the analysis, seven factors were found to influences the quality attributes in the leveraging of the NoSQL database systems in organisations. Based on the interpretation of the findings, a leveraging model was proposed. The model is intended to provide a guide on how software quality attributes can be leveraged with NoSQL database systems in organisation. This includes to facilitate NoSQL technology selection.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123769653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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