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61 results for “software industry”
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Research ArticleOpen accessPhrase in the titleThe Productivity and Human Capital in the Japanese Software Industry: The View of Service InnovationKazunori Minetaki, Toshihiko TakemuraProblem statement: It has been pointed out the weak competitiveness of Japanese software industry. The industrial characteristic of the software industry in Japan is the subcontract system. There are numerous pieces of anecdotal evidence suggesting that the Japanese software industry suffers from low productivity growth on a par with that of other non-manufacturers particularly those in the services sector. In … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,700 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFactors Affecting the Choice of Software Life Cycle Models in the Software Industry-An Empirical StudyRupa Mahanti, M. S. Neogi, Vandana BhattacherjeeProblem statement: The aim of this study was to present the results of the survey conducted with software professionals in a few Indian software companies. Approach: The study initially presents an overview of the common software life cycle models used in the software development. Results and Conclusion: The survey results revealed that the level of understanding of the user requirements … …Journal of Computer Science, Vol. 8, Issue 8 · 13 Jul 2012 · 8,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Agile Leadership in Team Motivation Within Software Development Projects: A Study Case of Multinational Companies in MoroccoMaha Makkass, Youness Laghouaouta, Adil AnwarToday’s business world is increasingly competitive, especially in the software development domain. This growing pressure has led many organizations to adopt agile methodologies and cultures. They need innovations to respond quickly to the sudden changes that are most of the time not part of any leader's strategic plan. In these agile contexts, which are supposed to be built with self-managed … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,739 accessesView PDFCite
Research ArticleOpen accessIn the abstractReinforcement Learning in Financial Services: Modelling Payment Switching as a Multi-Armed Bandit ProblemIshaya Gambo, Christopher Agbonkhese, Segun Aina et al.The ever-evolving landscape of digital payments demands continuous innovation and self-improvement. This study addresses this imperative by simulating a model for payment routing, a crucial aspect of the digital payment ecosystem. To achieve this, industry professionals were interviewed to inform the approach, emphasizing data randomization for effective data collection. Using Python, a randomized dataset is created and three Reinforcement Learning … …Journal of Computer Science, Vol. 20, Issue 11 · 12 Oct 2024 · 4,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Manufacturing in Mining. Adopting Machine Learning to Improve a Copper Milling ProcessFederico Walas Mateo, Andrés Redchuk, Julian Eloy TornilloNowadays industries like mining are focused in the need of improving processes towards net zero emissions and accomplishing with united nations' sustainable development goals. This article presents a case at a copper mine where an artificial intelligence solution is adopted to optimize industrial processes. The paper illustrates the way a software solution using a low code platform framework can democratize … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 15 Apr 2023 · 6,312 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 · 7,284 accessesView PDFCite
Review ArticleOpen accessIn the abstractCritical 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 accessIn the abstractAn Automatic Transformation Method from the E3value Model to IFML Model: An MDA ApproachNassim Kharmoum, Soumia Ziti, Yassine Rhazali, Fouzia OmaryNowadays the software industry has known a significant growth, while the end-users have become very demanding. In this sense, the model transformation has become one of the essential solutions to ensure competitiveness in the field of the software industry domain. For that, the Object Management Group (OMG) proposes for the Model-Driven Architecture (MDA) approach three abstraction levels, namely Computation Independent … …Journal of Computer Science, Vol. 15, Issue 6 · 12 Jun 2019 · 7,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparing 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