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Titlebook: Engineering Software for Modern Challenges; First International Dayang Norhayati A. Jawawi,Imran Sarwar Bajwa,Rafa Conference proceedings

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发表于 2025-3-21 16:09:28 | 显示全部楼层 |阅读模式
书目名称Engineering Software for Modern Challenges
副标题First International
编辑Dayang Norhayati A. Jawawi,Imran Sarwar Bajwa,Rafa
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Engineering Software for Modern Challenges; First International  Dayang Norhayati A. Jawawi,Imran Sarwar Bajwa,Rafa Conference proceedings
描述This volume constitutes selected papers presented at the First International Conference on Engineering Software for Modern Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21, 2021..The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on ​software engineering; intelligent systems; software quality. .
出版日期Conference proceedings 2022
关键词architecture types; artificial intelligence; communication systems; computer hardware; computer networks
版次1
doihttps://doi.org/10.1007/978-3-031-19968-4
isbn_softcover978-3-031-19967-7
isbn_ebook978-3-031-19968-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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CMMI Software Evolution and Its Role in Pakistanencies. We will have a view of Lehman Law and finally CMMI involvement in the Pakistan software industry. Section . will be the Introduction and the importance of software evolution in Pakistan. Section . CMMI History will be discussed, and Sect. ., depicts CMMI Comparison. Section . will introduce Lehman Law, and finally, Sect. . is Analysis.
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Detection and Recognition of Software Design Patterns Based on Machine Learning Techniques: A Big St to extract important information during the re-engineering process. Along with the detection of design patterns, it is also desired to recognize the design pattern from the source code. In this paper we presented an approach for design pattern detection and recognition using a machine learning techniques and metrics based training dataset.
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Educational Robot for Assignments Checkingecking student’s assignments. Data file is given to module it will compare student’s assignments with it and give result. Given result will show the accuracy of assignment. It will be great time saver for teachers and students will get their assignments checked in time.
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The Chittagong Hill Tracts, Bangladesh,substandard food products. Blockchain technology guarantees the source of origin to a customer and enables traceability, tracking, and transparency which assists to increase accountability in the food production industry by confirming customer safety and protection, developing confidence, and enhancing the quality of service.
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1865-0929 2021, held in Johor, Malaysia, in October 20-21, 2021..The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on ​software engineering; intelligent systems; software quality. .978-3-031-19967-7978-3-031-19968-4Series ISSN 1
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https://doi.org/10.1007/978-1-349-17229-0 to extract important information during the re-engineering process. Along with the detection of design patterns, it is also desired to recognize the design pattern from the source code. In this paper we presented an approach for design pattern detection and recognition using a machine learning techniques and metrics based training dataset.
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