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Titlebook: Software Engineering and Environment; An Object-Oriented P Phillip C.-Y. Sheu Book 1997 Springer Science+Business Media New York 1997 algor

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書目名稱Software Engineering and Environment
副標(biāo)題An Object-Oriented P
編輯Phillip C.-Y. Sheu
視頻videohttp://file.papertrans.cn/871/870804/870804.mp4
叢書名稱Software Science and Engineering
圖書封面Titlebook: Software Engineering and Environment; An Object-Oriented P Phillip C.-Y. Sheu Book 1997 Springer Science+Business Media New York 1997 algor
描述.Software Engineering and Environment. examines the variousaspects of software development, describing a number of software lifecycle models. Twelve in-depth chapters discuss the different phasesof a software life cycle, with an emphasis on the object-orientedparadigm. In addition to technical models, algorithms, andprogramming styles, the author also covers several managerial issueskey to software project management. Featuring an abundance of helpfulillustrations, this cogent work is an excellent resource for projectmanagers, programmers, and other computer scientists involved insoftware production.
出版日期Book 1997
關(guān)鍵詞algorithms; computer; design; development; management; modeling; programming; project management; software; s
版次1
doihttps://doi.org/10.1007/978-1-4615-5907-8
isbn_softcover978-1-4613-7710-8
isbn_ebook978-1-4615-5907-8
copyrightSpringer Science+Business Media New York 1997
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Software Science and Engineeringhttp://image.papertrans.cn/s/image/870804.jpg
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https://doi.org/10.1007/978-1-4615-5907-8algorithms; computer; design; development; management; modeling; programming; project management; software; s
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Design Methodologies and Specifications,s consists of a number of components, called .. During the design phase, those modules, relationships among modules, and possibly some control sequences are identified. Requirements for the modules are further specified, and this step is repeated until no further decomposition can be made and each module can be realized directly.
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Program Verification and Testing, from the desire to prove formally that a program is correct, based on written code and requirements specification. In general two approaches are proposed for formal program verification—one based on theorem proving and one based on symbolic execution.
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