IT Client Last/Final Report

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Annotated Bibliography of Information Sources

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Mr. Osman Eygu, a software engineer at Nike headquarters in Oregon, is the IT client for this annotated bibliography project. Mr. Eygu, who holds a Bachelor's degree in Computer Science and has worked for companies such as Walgreens, specializes in developing, constructing, and managing Test Automation frameworks. His tasks include testing new software additions, enhancements, and bug repairs, working on user interface and backend services, and assuring network security for online project interactions. Our study focuses on automation and network security vulnerabilities, including issues like forced browsing, clickjacking, and SQL injection. The purpose is to discover effective answers to large risks in software development. Through a complete review of credible sources, we want to give Mr. Eygu with significant insights and ideas to improve automation process and strengthening network security measures at Nike. The search strategies involved the use of different search engines and subscription databases to help in the location of the ten relevant and reputable information sources that meets Mr. Eygu's information needs as per his job as a software engineer.

Assegie, T. A., & Nair, P. S. (2019). A review on software defined network security risks and challenges. TELKOMNIKA (Telecommunication Computing Electronics and Control), 17(6), 3168. https://doi.org/10.12928/telkomnika.v17i6.13119

Summary: The article offers comprehensive review of the software defined network (SDN) security risks and the associated challenges with the focus on the centralized SDN controller architecture. The article offers discussion on separation of control and data planes in SDN, the SDN architecture, and the vulnerabilities associated with the centralized SDN controller. The security risks are explored at the application, control, infrastructure, and the communication channel layers of the SDN. It reveals about the potential attacks like the DoS, the fake flow rule insertion, and the flow rule alteration. The solutions proposed by the author includes hardening the control logic, decentralization of the SDN controller, and the implementation of the security models for the detection of intrusion, prevention, and access controls.

Evaluation: In terms of accuracy, the article provides accurate information on Security Detection Networks (SDN) security risks and proposes practical solutions. Based on the currency, Published in 2019, it addresses contemporary issues in SDN security, including vulnerabilities associated with centralized control and the need for distributed controller architectures. Based on the authority or credibility, the authors are identified and their expertise in the field is established through their affiliation with Telkomnika. Based on the quality, the article is well-structured, providing a thorough analysis of SDN security challenges and potential solutions. It maintains objectivity by presenting a balanced view of SDN security risks and solutions, acknowledging the benefits of SDN while addressing associated security concerns. The article covers a wide range of topics related to SDN security, offering comprehensive insights into the complexities of SDN security. It is directly relevant to IT professionals, particularly those involved in SDN deployment and network security.

Fanoro, M., Božanić, M., & Sinha, S. (2021). A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain. Technologies, 9(4), 77. https://doi.org/10.3390/technologies9040077

Summary: The article is focused on the examination of the evolution of manufacturing processes based on the concepts of fourth and fifth industrial revolutions and how they are impacting on the supply chain. The author discusses the traditional manufacturing, the transition to smart manufacturing models enacted by the 4IR technologies and the integration of different enabling technologies like edge analytics, the cloud computing, and the IoT into manufacturing supply chain. It is a systematic literature review aimed at assessing the role of every enabling technology and identification of the challenges full-scale adoption of the smart manufacturing.

Assessment: The article provides a comprehensive review of 4IR/5IR enabling technologies and their linkage to the manufacturing supply chain, with references to existing literature ( accuracy). Published in 2021, it remains current in discussing contemporary topics like smart manufacturing, IoT, and cloud computing. The authors are affiliated with reputable institutions, adding credibility to their research. The article is well-structured, with clear sections discussing industrial revolutions, enabling technologies, and research methodology. It includes a systematic literature review, enhancing the quality of information. The article maintains objectivity in presenting information about 4IR/5IR enabling technologies and their implications for the manufacturing supply chain, but may have a slight bias towards highlighting the potential benefits of smart manufacturing technologies. The article provides extensive coverage of automation technologies and their integration into the manufacturing supply chain, aligning with Mr. Eygu's interest in automation and network security vulnerabilities. However, it may lack detailed exploration of specific case studies or real-world implementations. The article directly addresses Mr. Eygu's interests by discussing automation technologies and their impact on the manufacturing supply chain, but more emphasis on practical implications and case studies could enhance its relevance.

Gharibvand, V., Kolamroudi, M. K., Zeeshan, Q., Çınar, Z. M., Sahmani, S., Asmael, M., & Safaei, B. (2024). Cloud based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges. The International Journal of Advanced Manufacturing Technology, 131(1), 93–123. https://doi.org/10.1007/s00170-024-12989-y

Summary: it is a peer-reviewed article that offers comprehensive review of the recent development in the cloud-based manufacturing (CMfg) with the inclusion of the architecture, technologies, the infrastructures, platforms, and the related challenges. It includes the discussion on the advantages, challenges, and the shortcomings of the CMfg applications and assessment of different cloud technologies offered for its implementation, for example, IoT, robotics, and the big data.

Evaluation: Based on the accuracy, the article, published in 2024, provides a comprehensive review of recent developments in cloud-based manufacturing (CMfg) technologies, architectures, and infrastructures. It is current, less than 5 years old, and authored by a team of experts in cloud-based manufacturing ( credibiliy). In terms of quality, the article is of high scholarly quality, contributing valuable knowledge to the field. Based on the objectivity, the article presents a balanced view of CMfg applications and technologies, covering architectures, technologies, infrastructures, platforms, and challenges. In terms of relevance, it provides a comprehensive understanding of the topic and is relevant to Mr. Osman Eygu's interest in cloud-based manufacturing and its potential implications for software development, offering valuable insights into emerging trends and technologies.

Nawaz, N. A., Ishaq, K., Farooq, U., Khalil, A., Rasheed, S., Abid, A., & Rosdi, F. (2023). A comprehensive review of security threats and solutions for the online social networks industry. PeerJ Computer Science, 9, e1143. https://doi.org/10.7717/peerj-cs.1143

Summary: The article offers an in-depth evaluation of the security threats targeted at the users of the online social networks (OSNs) and proposing different interventions to help in the mitigation of such threats. The article groups the threats into classical and modern groups as it discusses problems like malware, phishing, and the spam attacks. Moreover, there is an introduction of Hybrid Real-Time Social Networks Protector (HRSP) system framework aimed at addressing URL and the content-based threats. The authors aimed at raising awareness among the researchers, practitioners, and the OSN users regarding security challenges that is common with the use of such platforms and providing approaches for the improvement of the protection.

Evaluation: The article provides accurate and well-researched information on security threats and solutions for online social networks, published in 2023. It addresses contemporary issues and provides timely insights into the industry ( Currency). The article is published in a reputable peer-reviewed journal, indicating high credibility. It provides comprehensive coverage of security threats in OSNs, supported by references and citations. It provides thorough coverage of various threats and proposes a comprehensive model for protection. The article maintains objectivity by presenting a balanced viewpoint on cybersecurity challenges The article is directly relevant to IT professionals involved in cybersecurity and social networking, offering valuable insights and strategies for mitigating security threats in online social networks.

Olyanasab, A., & Annabestani, M. (2024). Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review. Journal of Personalized Medicine, 14(2), 203. https://doi.org/10.3390/jpm14020203

Summary: The authors explores the integration of the machine learning using the wearable devices for the individualized health monitoring. It groups wearable devices into bio-electrical, electro-chemical, and the electro-mechanical types and this reveals about its use in different health domains like the cardiovascular health, management of stress, and monitoring bladder. Machine learning algorithms improves abilities of these devices thus making it possible to have real-time monitoring, prediction of illness, and the personalized solutions.

Evaluation: The article, published in 2024, provides reliable information on wearable technology, backed by examples and references from various research studies (accuracy and currency). It is authored by experts Olyanasab and Annabestani and published in the Journal of Personalized Medicine (credibility). The article is well-documented, providing comprehensive coverage of the topic (quality). It presents information objectively, avoiding bias or personal opinion. The article covers various aspects of machine learning-driven wearable technology, addressing different health domains and applications. It is relevant to IT professionals, providing insights into the integration of machine learning with wearable devices for personalized health monitoring, aligning with IT clients' information needs in healthcare technology.

Pourrahmani, H., Yavarinasab, A., Monazzah, A. M. H., & Van herle, J. (2023). A review of the security vulnerabilities and countermeasures in the Internet of Things solutions: A bright future for the Blockchain. Internet of Things, 23, 100888. https://doi.org/10.1016/j.iot.2023.100888

Summary: The article offers comprehensive review of the cybersecurity attacks and the vulnerabilities in the Internet of Things (IoT) interventions along other proposed interventions or countermeasures. The authors provide discussion on the role of IoT technology within the international economy and revealing the growth in the cybersecurity threats caused by the emerging technologies. They grouped these vulnerabilities across diverse layers of the IoT reference framework like the hardware, communication, web, application, and cloud and suggested strategies such as the encryption, improvement of physical security, and separation of network traffic to help in the mitigation of such vulnerabilities. Moreover, the authors proposes the adoption of NIST model and the information Assurance (IA) framework in ensuring security, focusing on the pillars of availability, integrity, authentication, confidentiality, and the non-repudiation. They also advocate the approach of integrating Blockchain technology to help in the improvement of the protected data exchange, identification, and the authentication for the IoT devices, thus helping with the reduction of cost and elimination of the intermediaries.

Evaluation: The article provides a comprehensive analysis of cybersecurity threats in IoT solutions, referencing existing literature and frameworks like the NIST framework. It is relevant to Mr. Eygu's interest in network security and is published in 2023 ( accuracy and currency). The authors, affiliated with academic institutions, demonstrate expertise in cybersecurity and IoT technology, enhancing the credibility of their research ( credibility). The article is well-structured, discussing IoT vulnerabilities, countermeasures, and the potential role of Blockchain technology. However, a more detailed discussion on practical implementation challenges and case studies could enrich the analysis ( quality). The article maintains objectivity by objectively presenting cybersecurity threats in IoT solutions and proposing diverse countermeasures. It provides comprehensive coverage of cybersecurity threats across various layers of the IoT reference model, aligning well with Mr. Eygu's interest in network security vulnerabilities. The article directly addresses Mr. Eygu's interest in strengthening network security measures for IoT devices, providing valuable insights into cybersecurity threats and countermeasures ( relevance).

Saeed, S., Altamimi, S. A., Alkayyal, N. A., Alshehri, E., & Alabbad, D. A. (2023). Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations. Sensors, 23(15). https://doi.org/10.3390/s23156666

Summary: The authors explore the intersection of the digital transformation (DT) and cybersecurity challenges and the resilience by the businesses. The study involve a systematic literature review using PRISMA technique to help with the analysis of the impacts of the DT on cybersecurity and resilience of the business. The focus of the study is on the role of awareness on cybersecurity threats in implementing the DT for the prevention of the interruptions caused by the malicious activities or the unauthorized access. It reveals about the rise in the efficiency and productivity caused by DT and the new challenges like cybersecurity risks associated with cyber-attacks and data breaches.

Evaluation: In terms of currency, the article, published in 2023 in Sensors, is a comprehensive literature review on digital transformation (DT) and cybersecurity challenges. It is based on the PRISMA methodology, ensuring the reliability of the findings ( accuracy). The article is published in a peer-reviewed journal, demonstrating credibility and authority in the field ( credibility). The article provides in-depth analysis and discussion, supported by references to empirical studies and research findings ( quality). It maintains objectivity by presenting findings and recommendations based on empirical evidence and scholarly research, avoiding apparent bias. The article covers various sectors, including financial, health, governmental, business, and industrial sectors, and offers insights into potential solutions and future research directions (Coverage). It directly addresses the information needs of IT professionals by exploring the implications of DT on cybersecurity and business resilience ( relevance).

Sutapa, F. A. K. P., Kusumawardani, S. S., & Permanasari, A. E. (2020). A Review of Automated Testing Approach for Software Regression Testing. IOP Conference Series: Materials Science and Engineering, 846, 012042. https://doi.org/10.1088/1757-899x/846/1/012042

The authors presented a comprehensive review of the automated testing strategies for the software regression testing. The authors reveal the role of regression testing in improving the quality of the software through verification that the previously identified errors are corrected with no introduction of new ones. The authors focus on the limitations of the conventional manual regression testing such as consumption time, absence of reusability, and the susceptibility to human error. The authors recommended testing as an intervention to different tools like Selenium, SAHI, and Robot model for the implementation of the automated regression testing. Moreover, the article looks into implementation techniques, especially the serial and parallel execution.

The article provides a comprehensive overview of automated testing approaches for regression testing, addressing contemporary challenges in software development. Published in 2020, it provides a detailed overview of these approaches, supported by references to previous studies and research findings. The effectiveness of parallel execution in improving regression testing efficiency may vary depending on the complexity of the software under test and the testing environment (accuracy and currency). The authors demonstrate credibility by referencing existing literature and research findings, but additional information about their backgrounds in software testing or related fields could enhance their expertise. The paper maintains objectivity by objectively presenting the limitations of manual regression testing and the benefits of automated testing approaches. It provides comprehensive coverage of automated testing approaches for regression testing, but a more extensive exploration of emerging trends or future directions in automated testing could enrich the coverage further. The paper directly addresses the challenges and opportunities associated with regression testing in software development, making it relevant to practitioners and researchers in the field (relevance).

Wang, Y., Mäntylä, M. V., Liu, Z., & Markkula, J. (2022). Test automation maturity improves product quality—Quantitative study of open source projects using continuous integration. Journal of Systems and Software, 188, 111259. https://doi.org/10.1016/j.jss.2022.111259

Summary: The study involve an inquiry into the effect of the test automation maturity on the quality of the product, test automation efforts, and the release cycle in an open-source Java projects using an ongoing integration (CI). The quantitative analysis shows positive relationship between test automation maturity and the quality of the product with higher maturity levels linked to enhanced quality and reduced test automation effort. The study outcomes shows that improvement of the test automation maturity leads to the better software quality and the efficiency in the CI environments. Nevertheless, the focus of the study on java projects and open-source contexts can limit the generalizability of the conclusions to other software development environments.

Evaluation: The article presents a quantitative study on the impact of test automation maturity on product quality, test automation effort, and release cycle in open-source projects using continuous integration (CI) ( accuracy). The authors, Wang, Mäntylä, Liu, & Markkula, are affiliated with the University of Oulu, Finland, and published in the "Journal of Systems and Software ( authority)." The article maintains objectivity by presenting the research findings without bias and discussing their implications without bias. In terms of currency, the article was published in 2022, the article addresses contemporary issues in software engineering, particularly the importance of test automation maturity in CI and open-source projects. The article provides a comprehensive overview of the research methodology and reviews related work, but its focus on open-source Java projects may limit its generalizability ( coverage). In terms of the relevance, the study directly targets IT professionals' knowledge needs by investigating the relationship between test automation maturity and software development elements in CI contexts, with practical implications for enhancing software quality and productivity.

Zhu, H., Tan, W., Yang, M., Guo, K., & Li, J. (2023). DSCPL: A Deep Cloud Manufacturing Service Clustering Method Using Pseudo-Labels. Journal of Industrial Information Integration, 31, 100415. https://doi.org/10.1016/j.jii.2022.100415

The article offers discussion on the development of the deep learning-based clustering technique, the DSCPL for the manufacturing of the cloud services. It tackles some of the challenges of the service discovery and the management in the manufacturing industry by suggesting a method that involves the integration of the graph topology and node features to help in clustering with similar attributes. Based on this comprehensive experiments, the study reveal about the effectiveness of the strategy in comparison to the present techniques. The author offers information into the role of service clustering for the enhancement of the effectiveness and resource allocation in the cloud manufacturing platforms.

Assessment: Accuracy: it provides a clear overview of the DSCPL methodology and its use in manufacturing cloud service clustering, providing an in-depth understanding of the subject. Currency: The article, which was published in 2023, is relatively new and tackles current challenges and advancements in cloud manufacturing services, confirming its relevance to current issues in the industry. Authority/Credibility: the authors are affiliated with academic institutions, and the article is published in a prominent publication specializing in industrial information integration, which increases its credibility . Quality: The article contains a full analysis of the suggested clustering algorithm, backed up by experimental results and references to relevant work, indicating a high-quality research effort. Objectivity: The essay maintains objectivity by providing the process and findings in a systematic manner that avoids obvious bias. Coverage: The article offers comprehensive coverages of the DSCPL technique, its use, and the experimental validation. It gives the crucial information for the researchers and the practitioners within the field of cloud manufacturing. The relevance of the article is that it addressed Mr. Eygu's focus on the automation technologies and the network security risks, thus providing crucial perspectives on the service clustering in cloud manufacturing platforms which informs decision-making and the formulation of the strategy at Nike organization.

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