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164 results for “Software quality”
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Research ArticleOpen accessIn the keywordsAn Approach from Knowledge Dust to Gems (Knowledge Management)Praveen Kumar, Satish ChhokarProblem statement: Most businesses rely on the fact that their employees possess relevant knowledge and that they can apply it to the task at hand. The problem is that this knowledge is not owned by the organization. It is owned and controlled by its employees. Maintaining an appropriate level of knowledge in the organization is a very important issue. It … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 6,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractEco-Friendly Eggshell Meal on Milk Yield and Quality of Holstein Friesian CowsAmbo Ako, Renny Fatmyah Utamy, Hasbi Hasbi et al.Aditya, S., Stephen, J., & Radhakrishnan, M. (2021). Utilization of Eggshell Waste in Calcium-Fortified Foods and other Industrial Applications: A Review. Trends in Food Science & Technology, 115, 422–432. https://doi.org/10.1016/j.tifs.2021.06.047 Ahmed, T. A. E., Wu, L., Younes, M., & Hincke, M. (2021). Biotechnological Applications of Eggshell: Recent Advances. Frontiers in Bioengineering and Biotechnology, 9, 675364. https://doi.org/10.3389/fbioe.2021.675364 Aminah, S., & Meikawati, … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 26 May 2024 · 7,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Water Quality Control and Monitoring System for Hydroponic Plants with a Cloud-Based SystemCahya Lukito, Rony Baskoro Lukito, Endang ErnawatiThe research aimed to develop software and hardware to control the water quality of hydroponic plants; create custom software for the ESP8266, turning it into an IoT client capable of seamless integration with AWS IoT cloud-based system; initiate targets integrating and enhancing AWS IoT modules, facilitating automated water quality control functions and building intuitive dashboards for real-time water quality monitoring. … …Journal of Computer Science, Vol. 20, Issue 6 · 26 Mar 2024 · 5,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractGreedy Algorithm Implementation for Test Case Prioritization in the Regression Testing PhaseAkira Wahyu Putra, Nilo LegowoThis study examines the implementation of Test Case Prioritization (TCP) using the Greedy Algorithm (GA) to enhance regression testing efficiency within a financial technology company's software development cycle. With testing durations increasing significantly, this study aims to address inefficiencies by applying the Greedy Algorithm to optimize test suite size and fault detection. The research methodology involves applying the Greedy Algorithm … …Journal of Computer Science, Vol. 21, Issue 2 · 9 Jan 2025 · 7,572 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework of Public Agency Website Quality Evaluation in the UAEMohammed Ali Albalushi, Zanariah Jano, Indra DeviWebsite quality is among the key drivers of the success of e-government transformation as citizens are more likely to participate when they found a satisfying engagement with a website. This paper proposed a framework of public agency website quality evaluation for the National Media Council, UAE. The study used a quantitative approach where a survey strategy was used to administer … …Journal of Computer Science, Vol. 16, Issue 12 · 24 Dec 2020 · 6,756 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence for Software Engineering: An Initial Review on Software Bug Detection and PredictionJulanar Ahmed Fadhil, Koh Tieng Wei, Kew Si NaThe need for speed and quality in delivering all software engineering artifacts has inevitably remained the biggest challenge in today’s software development environment. While everyone caters to complex software engineering processes, new releases are expected by the market on almost a daily basis. Thus, several Artificial Intelligence (AI) techniques have been introduced that are intensively used in the modern software … …Journal of Computer Science, Vol. 16, Issue 12 · 16 Dec 2020 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractA VF-IMF Cohesion Metric for Object-Oriented ClassesJoy Christy Antony Sami, Umamakeswari ArumugamCohesion in Object Oriented (OO) modules impact reusability, efficiency and complexity of software. OO Programmers are mandated to create software with high cohesion. The testing phase in Software Development Life Cycle (SDLC) is not only concerned about creating error free software but also assess quality of code through software metrics. The metric‘Lack of Cohesion in Methods (LCOM)’ is one of … …Journal of Computer Science, Vol. 16, Issue 4 · 10 Apr 2020 · 8,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractMarket Analysis and Evaluation of the Nutritional Quality of Fodder Grown in Urban and Peri-Urban Areas of Niamey, NigerSalou Issaka Seybou, Fernàndez Rebollo Pilar, José Ramon Leal Murillo et al.The development of domestic ruminant livestock farming is hampered by the lack of forage, which is largely dependent on natural pastures and crop residues. In the outskirts of major cities, access to grazing land is becoming increasingly restricted. To meet the growing demand for fodder, feed markets are emerging in urban centers. The main aim of this one-year, three-season study … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 7 Nov 2025 · 2,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,727 accessesView PDFCite