International Journal of Engineering and Management Research
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Software Understandability using Software Metrics: An Exhaustive Review
Get PDFStability and Understandability are two important aspects of software architecture quality measurement. Stability refers to the degree to which software architecture is resistant to change. A stable architecture is one that can accommodate changes with minimal impact on the overall system. In other words, a stable architecture is one that can evolve over time while maintaining its integrity. There are several metrics used to measure the stability of a software architecture, including the number of dependencies between components, the number of changes required to implement a new feature or fix a bug, and the amount of time it takes to make changes to the architecture. A stable architecture will have fewer dependencies between components, require fewer changes to implement new features or fix bugs, and make changes faster. Understandability refers to the degree to which a software architecture can be easily understood by developers and other stakeholders. An understandable architecture is one that is easy to navigate and comprehend, and that clearly communicates the system\u27s design and functionality. There are several metrics used to measure the understandability of software architecture, including the number of components and their relationships, the level of abstraction used, and the degree of consistency between different parts of the architecture. An understandable architecture will have a clear structure and logical organization, use consistent terminology and notation, and be documented with clear explanations of its components and their relationships. a software architecture that is both stable and understandable will be easier to maintain, evolve, and extend over time, reducing the risk of errors and improving the overall quality of the system
Ensuring Data Security on Salesforce: A Comprehensive Review of Security Measures and Best Practices
Get PDFSalesforce is a cloud-based customer relationship management (CRM) platform that allows businesses to store, manage, and analyse customer data. Given the sensitive nature of customer data, it is important for businesses to ensure that their Salesforce instance is secure. In this comprehensive review, we will examine the security measures and best practices that can help businesses to secure their Salesforce data.
Two-factor authentication (2FA): Two-factor authentication is an additional layer of security that requires users to provide a second factor of authentication, such as a password and a security token or biometric data, to access their Salesforce account. This can help prevent unauthorized access to the system.
Securing Salesforce data requires a combination of technical security measures and best practices. By implementing the security measures and best practices outlined in this review, organizations can help ensure that their Salesforce instance is secure and their sensitive data is protected from unauthorized access
QoS-Aware Virtual Machine Migration in Cloud Environment- A Review
Get PDFCloud computing is an evolving field of information technology that allows for online access to computational resources that are maintained in huge data centers. These data centers have physical machine or servers but to fulfill the user request efficiently one physical machine may have several virtual machines. Virtualization technique with the help of hypervisor software serves this purpose. The paper investigates the role of virtualization in providing resources effectively and various parameters involved in live VM allocation. We have also discussed available methods and techniques of virtual machine allocation. Our aim for this review is to boost the chances of delivering unbiased research that accurately reflects the current viewpoint for allocating virtual machines in cloud data centers
A Personalized Tour Recommender in Python using Decision Tree
Get PDFA tourist recommendation system has been implemented based on python, Django framework and MySQL database. Firstly, crawler technology is used to crawl the ratings(reviews of customer experiences) information of TripAdvisor, and then the crawled ratings data is stored in MySQL. In the system, users can view the location, can view the opinion analytics(review packages), and collect the location information. According to the user\u27s collection of location information, the decision tree is used to recommend locations that may be of interest to users. If a new user enter his requirements then decision tree will predict best location based on his given input. Decision tree don’t need new users past experience data. Through the design of these functional modules, the whole tourist recommendation system is realized
Upgrading Shortest Path Problems
Get PDFThere are several areas where the shortest path problem exists.One well-known algorithm is the Dijkstra Algorithm.The "Dijkstra Algorithm" has one flaw, according to the results of the experiments, namely that it doesn\u27t deal with the issue of adjacent vertices in the shortest path.The algorithm has seen substantial improvement. The findings of our trial show that the problem has been successfully fixed
Design and Fabrication of a Hybrid Battery with Lead Acid Battery and Supercapacitor
Get PDFThe electricity plays very important role in today\u27s world and Day by day the need of energy is increasing due to which the energy storing is becoming the need of today’s world. To solve this problem, we have to use the energy storing devices such as batteries, super capacitor etc. The batteries are the widely used device to store electrical energy but the costs of these batteries are increases as per its storing capacity.[1] To reduce this cost we are going to make the batteries which will be more affordable to the consumer and also we are going to increase the energy storing capacity of the batteries. Generally, the batteries consist of two electrodes one is positive and another one is negative and these electrodes are dipped in the electrolyte solution.[2]
In this project we have made a super capacitor which is used as a second electrode of lead acid battery. We have connected this super capacitor in series with the negative electrode. Super capacitors have high energy storing capacity, due to addition of this super capacitor, the energy storing capacity of battery increases and also the life of battery increases.[3
Disease Prediction using Machine Learning
Get PDFBased on predictive modelling, a disease prediction system determines the user\u27s illness from the signs they provide as input to the system. The system evaluates the user\u27s symptoms as input and outputs the likelihood that the illness will occur. Utilizing a decision tree classifier, disease prediction is accomplished. The likelihood of the illness is calculated by a decision tree classifier. More and more organisations in the biological and healthcare sectors are turning to big data to aid in early disease discovery and better serve their patients. The development of a system that will allow people to forecast chronic illnesses without having to see a doctor or medical professional for a diagnostic is necessary by watching patient signs and using a variety of machine learning modelling methods, different illnesses can be identified. Text and organised data processing do not follow any standard method. The suggested paradigm would examine both organised and random material. Prediction precision can be increased through machine learning. There is a need to research and develop a system that will allow an end-user to anticipate irreversible illnesses without having to consult a specialist or doctor for a diagnostic. To identify different diseases by analysing patient symptoms using various techniques of Machine Learning Algorithms. There is no proper technique for managing text and structured data. Both organised and unstructured material will be examined by the Suggested algorithm. Artificial Learning will improve prediction accuracy
Optimize Banana Production through Innovative Growing System
Get PDFOptimizing banana production through innovative systems is essential for sustainable cultivation. This research primarily focuses on banana variety identification using images and Convolutional Neural Networks (CNNs), detection of leaf diseases in banana trees through a machine learning approach, analysis and recommendation of optimal cultivation practices derived from interactions with farmers and external supervisors, and the generation of unique product ideas using differentiation strategies based on market research, consumer preferences, and insights from industry experts. Collectively, this study aims to revolutionize banana cultivation and marketing by amalgamating traditional farming insights with modern technological tools
Sustainable Prioritization of Public Asphalt Paved Road Maintenance
Get PDFThe development of transportation infrastructure is crucial for a country\u27s progress as it enables access to social and economic amenities and acts as a vital link between production and consumption. This is particularly significant for landlocked nations like Zambia, which heavily rely on a wide network of public highways, including both paved and unsurfaced roads. Regardless of their quality and construction, all road surfaces degrade over time due to the combined effects of traffic load and environmental factors. If not properly managed, this can lead to costly repairs and rehabilitation efforts. Government organizations face a dilemma when deciding which public roads to prioritize for maintenance. This follows that the inherent hurdle is competing needs within limited finances for infrastructure development. However, the challenge of road maintenance prioritization can be addressed by adopting a multi-criteria approach. This study aims to address the issue of sustainability and provides insights into which public roads should be given priority for maintenance. The research proposes a comprehensive set of criteria focusing on sustainability and assigns relative importance to them, with emphasis on state of deterioration, emergency function, climate resilience, environment, strategic importance, social considerations, economic factors, and political importance. It suggests that road maintenance decision-making should prioritize sustainability, resilience, and societal well-being, challenging traditional assumptions
Securing the Cloud: An Empirical Study on Best Practices for Ensuring Data Privacy and Protection
Get PDFCloud computing has emerged as a powerful paradigm that provides on-demand access to shared computing resources, such as computing power, storage, and applications, over the internet. It offers unparalleled scalability, flexibility, and cost-efficiency, making it increasingly popular among businesses and individuals alike. However, with the increasing reliance on cloud computing, security concerns have also become a critical issue that needs to be addressed to ensure the confidentiality, integrity, and availability of data and services in the cloud. Cloud security refers to the set of measures and practices designed to protect cloud-based resources and data from unauthorized access, data breaches, data loss, and other security threats. It encompasses a wide range of security challenges, including data privacy, access control, data integrity, compliance, legal issues, identity and access management, and risk assessment. Addressing these challenges is crucial to ensure the trustworthiness and reliability of cloud computing environments. The importance of cloud security cannot be overstated. Organizations need to have robust security measures in place to protect their sensitive data and critical applications from potential cyber threats, insider attacks, and other security risks. Cloud service providers also need to implement stringent security mechanisms to safeguard their customers\u27 data and ensure compliance with relevant regulations and standards. To effectively address cloud security challenges, extensive research and development efforts have been undertaken in the field of cloud security. Literature on cloud security provides valuable insights into the state-of-the-art security mechanisms, best practices, and emerging trends in cloud security. This paper aims to provide an overview of the existing research and developments in cloud security, covering various aspects such as data privacy, access control, encryption, risk assessment, identity and access management, and more. In this paper, we delve into introduction to cloud ,advancements in cloud security and various reviews related to cloud architecture