{"title":"Trends of Software Development Methodologies Toward DevOps: Analysis and Review","authors":"Poonam Narang, Pooja Mittal","doi":"10.2174/2666255816666230619121018","DOIUrl":null,"url":null,"abstract":"Background: The trend of software development has always been challenging for industry experts and software developers. There is tremendous growth in software development methodologies under the influence of evolving technologies and the rising demands of society. The 2019 pandemic forced software developers to shut down their offices and begin working from home, thereby, highlighting the critical necessity for a shared development and operations teams platform. As a result, the development trend moves from waterfall and Agile towards DevOps. Objective: The objective of the research is to review and comparatively analyze the availability factor of different selective and required features in software development methodologies. Software development industries will be benefited in appropriate methodology selection based on the requirement. Methods: The analysis is based on review of different development methodologies based on existing literature study, Google, and Stack Overflow Trends followed by tabular comparison of Waterfall, Iterative, Prototype, Spiral development models under Traditional and Rapid Application Development (RAD), Scrum, Kanban, XP for Agile methods with DevOps automation culture on essential features. Results: The moving trend towards DevOps, from Traditional and Agile development, demonstrate the most recent market swings for these models. Although Traditional models adhere to outdated software development methodologies, they are included in this high-quality survey and evaluation because of their widespread use in the software industry and prominent researcher’s survey work. Conclusion: Software developers, students, and researchers will all find it simple to comprehend the workings of development processes as a result of this analytical review. Additionally, it will also make it easier for these target audiences to choose relevant and effective models for software development.","PeriodicalId":36514,"journal":{"name":"Recent Advances in Computer Science and Communications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Computer Science and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2666255816666230619121018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The trend of software development has always been challenging for industry experts and software developers. There is tremendous growth in software development methodologies under the influence of evolving technologies and the rising demands of society. The 2019 pandemic forced software developers to shut down their offices and begin working from home, thereby, highlighting the critical necessity for a shared development and operations teams platform. As a result, the development trend moves from waterfall and Agile towards DevOps. Objective: The objective of the research is to review and comparatively analyze the availability factor of different selective and required features in software development methodologies. Software development industries will be benefited in appropriate methodology selection based on the requirement. Methods: The analysis is based on review of different development methodologies based on existing literature study, Google, and Stack Overflow Trends followed by tabular comparison of Waterfall, Iterative, Prototype, Spiral development models under Traditional and Rapid Application Development (RAD), Scrum, Kanban, XP for Agile methods with DevOps automation culture on essential features. Results: The moving trend towards DevOps, from Traditional and Agile development, demonstrate the most recent market swings for these models. Although Traditional models adhere to outdated software development methodologies, they are included in this high-quality survey and evaluation because of their widespread use in the software industry and prominent researcher’s survey work. Conclusion: Software developers, students, and researchers will all find it simple to comprehend the workings of development processes as a result of this analytical review. Additionally, it will also make it easier for these target audiences to choose relevant and effective models for software development.