Efficient software development

2009 ◽  
Vol 4 (2) ◽  
pp. 50-54
Author(s):  
Klaus Eder ◽  
Jürgen Meyer ◽  
Siegfried Hörfarter
Keyword(s):  
Software Development ◽  
Efficient Software

scholarly journals Analysis of Energy Consumption of Software Development Process Entities

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1678
Author(s):  
Paolo Ciancarini ◽  
Shokhista Ergasheva ◽  
Zamira Kholmatova ◽  
Artem Kruglov ◽  
Giancarlo Succi ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Software Development ◽  
Energy Loss ◽  
Energy Efficient ◽  
Development Process ◽  
Software Development Process ◽  
Modern Life ◽  
Efficient Software

With the growing need for software-driven devices in modern life, the pervasive necessity of energy efficiency is also rising dramatically. Considering the importance of energy-efficient software in the IT-sphere, many companies started to search and uncover ways for minimizing energy loss. We study the software development process in terms of energy consumption. This depends on various factors that have to be monitored continuously. In this paper, we propose the Innometrics framework for monitoring the software development process and analyzing the profiles of energy consumption by user devices. The motivating idea of the project is to provide crucial insights and to clarify which development activities are the main drivers behind the energy consumption.

scholarly journals Analytical study of software development process model variants

2021 ◽  
Vol 8 (2) ◽  
pp. 023-031
Author(s):  
Monday Eze ◽  
Charles Okunbor
Keyword(s):  
Software Development ◽  
Process Model ◽  
Management Strategies ◽  
Software Failures ◽  
Development Life Cycle ◽  
Software Development Model ◽  
Software Construction ◽  
Software Practitioners ◽  
Efficient Software ◽  
Scientific Engineering

Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.

SOFTWARE WAREHOUSE: ITS DESIGN, MANAGEMENT AND APPLICATION

2004 ◽  
Vol 14 (04) ◽  
pp. 395-406 ◽  
Author(s):  
HONGHUA DAI ◽  
WEI DAI ◽  
GANG LI
Keyword(s):  
Data Mining ◽  
Software Engineering ◽  
Software Development ◽  
Development Process ◽  
Innovative Approach ◽  
Design Management ◽  
Software Development Process ◽  
Software Applications ◽  
High Efficient ◽  
Efficient Software

To have an effective and efficient mechanism to store, manage and utilize software sources is essential to the automation of software engineering. The paper presents an innovative approach in managing software resources using software warehouse where software assets are systematically accumulated, deposited, retrieved, packaged, managed and utilized, driven by data-mining and OLAP technologies. The results lead to streamlined high efficient software development process and enhance the productivity in response to modern challenges of the design and development of software applications.

Efficient Software Development Applying a Model - Based Concept

2013 ◽  
Author(s):  
Georg Zembacher ◽  
Christian Roduner ◽  
Diego Valero-Bertrand ◽  
Andreas Hopfner ◽  
Achim Przymusinski
Keyword(s):  
Software Development ◽  
Model Based ◽  
Efficient Software

scholarly journals CellS: A Cell-Inspired Efficient Software Framework for AI-Enabled Application on Resources-Constrained Mobile System

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 568
Author(s):  
Ching-Han Chen ◽  
Mu-Che Wu
Keyword(s):  
Software Development ◽  
Intelligent System ◽  
Cell System ◽  
Software Framework ◽  
Multiple Cores ◽  
A Cell ◽  
Computing Performance ◽  
Mobile Processor ◽  
High Degree ◽  
Efficient Software

Today’s mobile processors generally have multiple cores and sufficient hardware resources to support AI-enabled software operation. However, very few AI applications make full use of the computing performance of mobile multiprocessors. This is because the typical software development is sequential, and the degree of parallelism of the program is very low. In the increasingly complex AI-driven and software development projects with natural human–computer interaction, this will undoubtedly cause a waste of mobile computing resources that are originally limited. This paper proposes an intelligent system software framework, CellS, to improve smart software development on multicore mobile processor systems. This software framework mimics the cell system. In this framework, each cell can autonomously aware changes in the environment (input) and reaction (output) and may change the behavior of other cells. Smart software can be regarded as a large number of cells interacting with each other. Software developed based on the CellS framework has a high degree of scalability and flexibility and can more fully use multicore computing resources to achieve higher computing efficiency.

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