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Titlebook: Developing Sustainable and Energy-Efficient Software Systems; Artem Kruglov,Giancarlo Succi Book‘‘‘‘‘‘‘‘ 2023 The Author(s) 2023 Open Acce

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發(fā)表于 2025-3-21 20:00:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Developing Sustainable and Energy-Efficient Software Systems
編輯Artem Kruglov,Giancarlo Succi
視頻videohttp://file.papertrans.cn/270/269805/269805.mp4
概述This book is open access, which means that you have free and unlimited access.Provides information how to choose and collect the appropriate metrics for a software project in an organization.Describes
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Developing Sustainable and Energy-Efficient Software Systems; Artem Kruglov,Giancarlo Succi Book‘‘‘‘‘‘‘‘ 2023 The Author(s) 2023 Open Acce
描述.This open access book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as structured programming and object-oriented programming (OOP). This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them...The book provides researchers
出版日期Book‘‘‘‘‘‘‘‘ 2023
關(guān)鍵詞Open Access; Software Engineering; Software Metrics; Software Sustainability; Software Quality Assurance
版次1
doihttps://doi.org/10.1007/978-3-031-11658-2
isbn_softcover978-3-031-11657-5
isbn_ebook978-3-031-11658-2Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2023
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:24:14 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:29:18 | 只看該作者
https://doi.org/10.1057/9780230281950 evaluate the software development process attributes and lead the project to success. This chapter demonstrates the division of SDLC phases into early and late ones, different software quality evaluation methodologies, and a set of measurements.
地板
發(fā)表于 2025-3-22 07:29:48 | 只看該作者
Asteroid Prospecting and Space Miningge. Hardware works hand in hand with software programs. It has become equally important to estimate the energy consumed as a whole using artificial intelligence-based approaches. Machine learning is presented as one of the scalable approaches toward efficiently and accurately estimating energy consumed in the software development domain.
5#
發(fā)表于 2025-3-22 12:01:01 | 只看該作者
6#
發(fā)表于 2025-3-22 14:09:29 | 只看該作者
Metrics of Sustainability and Energy Efficiency of Software Products and Process, evaluate the software development process attributes and lead the project to success. This chapter demonstrates the division of SDLC phases into early and late ones, different software quality evaluation methodologies, and a set of measurements.
7#
發(fā)表于 2025-3-22 18:43:43 | 只看該作者
System Energy Consumption Measurement,ge. Hardware works hand in hand with software programs. It has become equally important to estimate the energy consumed as a whole using artificial intelligence-based approaches. Machine learning is presented as one of the scalable approaches toward efficiently and accurately estimating energy consumed in the software development domain.
8#
發(fā)表于 2025-3-23 00:49:07 | 只看該作者
9#
發(fā)表于 2025-3-23 01:33:58 | 只看該作者
Concept and Principles of Measurement,l for estimating progress, quality control, and productivity assessment throughout a software project. In this section basic principles of measurement and general software development metrics are discussed.
10#
發(fā)表于 2025-3-23 08:19:00 | 只看該作者
Architecture of AISEMA System,re has minimal impact on work processes. In this section, we describe the main components that should be included in the design of an automated in-process software engineering measurement and analysis (AISEMA) system.
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