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Literature ReviewOpen accessEvery word in the titleMachine Learning Software Architecture and Model Workflow. A Case of Django REST FrameworkKennedy Ochilo Hadullo, Daniel Makini GetunoThe purpose of this study was to find out the challenges facing Machine Learning (ML) software development and create a design architecture and a workflow for successful deployment. Despite the promise in ML technology, more than 80% of ML software projects never make it to production. As a result, majority of companies around the world with investments in ML software … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 28 Jul 2021 · 8,608 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA 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 · 10,967 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRisk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree RegressionAsim Iftikhar, Shahrulniza Musa, Muhammad Alam et al.Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return. This shift of perception of working in a group rather than alone is getting stronger day by day and has … …Journal of Computer Science, Vol. 17, Issue 2 · 3 Mar 2021 · 7,366 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleArtificial 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 · 7,284 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleMachine Learning Techniques for Software Bug Prediction: A Systematic ReviewSyahana Nur’Ain Saharudin, Koh Tieng Wei, Kew Si NaThe goal of software bug prediction is to identify the software modules that will have the likelihood to get bugs by using some fundamental project resources before the real testing starts. Due to high cost in correcting the detected bugs, it is advisable to start predicting bugs at the early stage of development instead of at the testing phase. There … …Journal of Computer Science, Vol. 16, Issue 11 · 14 Nov 2020 · 9,377 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleCritical Barriers in Software Outsourcing Vendor Organizations and Their Impacts on Software Outsourcing Clients: A Systematic Literature ReviewIsmail Keshta, Ammar OdehGlobalization and technological advancement have driven up the demand for software as many enterprises seek to gain a competitive edge through efficient business operations. Whereas software provides this capacity, the resources involved in software development sometimes provide a stumbling block, especially for startups and smaller businesses. Software development outsourcing or offshore software development offers a viable alternative for these enterprises. … …Journal of Computer Science, Vol. 16, Issue 10 · 5 Oct 2020 · 7,071 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line ExperimentsViviane R. Furtado, Henrique Vignando, Victor França, Edson OliveiraJrThe Software Engineering (SE) research area must provide results of a certain quality for the sake of value. High quality research results may ensure experience and knowledge, which are essential for the technology to be transferred to the industry. One of the means to obtain such quality results is experimentation. Experimentation is a scientific method that aims to provide evidence … …Journal of Computer Science, Vol. 15, Issue 10 · 25 Apr 2019 · 7,747 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimizing Software Effort Estimation Models Using Back-Propagation Versus Radial Base Function NetworksAbdel Karim BaarehSoftware development effort estimation becomes a very important and vital tool for many researchers in different fields. Software estimation used in controlling, organizing and achieving projects in the required time and cost to avoid the financial punishments due to the time delay and other different circumstances that may happen. Good project cost estimation will lead to project success and reduce … …Journal of Computer Science, Vol. 15, Issue 3 · 11 Mar 2019 · 7,464 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCertain Contributions in Traffic Engineering Based on Software-Defined Networking TechnologyAs'ad Mahmoud As'ad AlnaserThe paper addresses the traffic engineering in Software-Defined Networks (SDN). A brief analysis of the features of the SDN organization, which allows to increase the Traffic Engineering (TE) efficiency, is given. The viability of using multipath routing with TE is substantiated. Taking into account the features of the SDN technology, a modified TE method, which allows to reduce the time … …Journal of Computer Science, Vol. 15, Issue 7 · 9 Jul 2019 · 7,704 accessesView PDFCite